Agriculture in 2050: Recalibrating Targets for Sustainable Intensification
Abstract
The prevailing discourse on the future of agriculture is dominated by an imbalanced narrative that calls for food production to increase dramatically—potentially doubling by 2050—without specifying commensurate environmental goals. We aim to rebalance this narrative by laying out quantitative and compelling midcentury targets for both production and the environment. Our analysis shows that an increase of approximately 25%–70% above current production levels may be sufficient to meet 2050 crop demand. At the same time, nutrient losses and greenhouse gas emissions from agriculture must drop dramatically to restore and maintain ecosystem functioning. Specifying quantitative targets will clarify the scope of the challenges that agriculture must face in the coming decades, focus research and policy on achieving specific outcomes, and ensure that sustainable intensification efforts lead to measurable environmental improvements. We propose new directions for research and policy to help meet both sustainability and production goals.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
A main reason for the difference between the authors' SSP2 projection and the FAO trend is that the FAO trend uses an earlier base year (2005/2007), which overestimates the expected increase in food consumption relative to the 2010 base year used in the review.
“The main reason is that the FAO trend is estimated using the earlier base year 2005/2007 and therefore overestimates the expected increase in food consumption in comparison with the 2010 base year that is used in our review.”
From A meta-analysis of projected global food demand and population at risk of hunger for the period 2010–2050 (2021) · cites this paper as [42]
Cites
Solutions for a cultivated planet
Foley, J. A., Ramankutty, N., Brauman, K. A., Cassidy, E. S., Gerber, J. S., Johnston, M., Mueller, N. D., O’Connell, C., Ray, D. K., West, P. C., et al. (2011) · Nature · doi:10.1038/nature10452 · Cited by 8,476 · see citing works
Global food demand and the sustainable intensification of agriculture
Tilman, D., Balzer, C., Hill, J., & Befort, B. L. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1116437108 · Cited by 7,692 · see citing works
Climate Change 2014: Mitigation of Climate Change
Change, I. P. O. C. (2015) · Cambridge University Press eBooks · doi:10.1017/cbo9781107415416 · Cited by 4,731 · see citing works
Yield trends are insufficient to double global crop production by 2050
Ray, D. K., Mueller, N. D., West, P. C., & Foley, J. A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0066428 · Cited by 3,415 · see citing works
Global diets link environmental sustainability and human health
Tilman, D. G., & Clark, M. (2014) · Nature · doi:10.1038/nature13959 · Cited by 3,413 · see citing works
World agriculture towards 2030/2050: the 2012 revisionPreprint
Alexandratos, N., & Bruinsma, J. (2012) · RePEc: Research Papers in Economics · doi:10.22004/ag.econ.288998 · Cited by 3,155 · see citing works
The State of Food Insecurity in the World
WFP, W. (2015) · Cited by 2,947 · see citing works
Closing yield gaps through nutrient and water management
Mueller, N. D., Gerber, J., Johnston, M., Ray, D. K., Ramankutty, N., & Foley, J. A. (2012) · Nature · doi:10.1038/nature11420 · Cited by 2,832 · see citing works
A meta-analysis of crop yield under climate change and adaptation
Challinor, A. J., Watson, J., Lobell, D. B., Howden, S. M., Smith, D. R., & Chhetri, N. (2014) · Nature Climate Change · doi:10.1038/nclimate2153 · Cited by 2,333 · see citing works
Ecological intensification: harnessing ecosystem services for food security
Bommarco, R., Kleijn, D., & Potts, S. G. (2013) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2012.10.012 · Cited by 1,862 · see citing works
Sustainable Intensification in Agriculture: Premises and Policies
Garnett, T., Appleby, M. C., Balmford, A., Bateman, I. J., Benton, T. G., Bloomer, P., Burlingame, B., Dawkins, M., Dolan, L., Fraser, D., et al. (2013) · Science · doi:10.1126/science.1234485 · Cited by 1,741 · see citing works
Yield gap analysis with local to global relevance—A review
van Ittersum, M. K., Cassman, K. G., Grassini, P., Wolf, J., Tittonell, P., & Hochman, Z. (2013) · Field Crops Research · doi:10.1016/j.fcr.2012.09.009 · Cited by 1,652 · see citing works
Climate change 2014 : mitigation of climate change
Edenhofer, O., Pichs-Madruga, R., & Sokona, Y. (2014) · University of North Texas Digital Library (University of North Texas) · Cited by 1,637 · see citing works
Cassman, K. G. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.11.5952 · Cited by 1,458 · see citing works
Sustainable intensification of agriculture for human prosperity and global sustainability
Rockström, J., Williams, J. N., Daily, G. C., Noble, A., Matthews, N., Gordon, L. J., Wetterstrand, H., DeClerck, F., Shah, M., Steduto, P., et al. (2016) · AMBIO · doi:10.1007/s13280-016-0793-6 · Cited by 1,195 · see citing works
Elliott, J. W., Deryng, D., Müller, C., Frieler, K., Konzmann, M., Gerten, D., Glotter, M. J., Flörke, M., Wada, Y., Best, N., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1222474110 · Cited by 1,150 · see citing works
Sustainable intensification in agricultural systems
Pretty, J., & Bharucha, Z. P. (2014) · Annals of Botany · doi:10.1093/aob/mcu205 · Cited by 1,057 · see citing works
Meeting the Global Food Demand of the Future by Engineering Crop Photosynthesis and Yield Potential
Long, S. P., Marshall‐Colón, A., & Zhu, X. (2015) · Cell · doi:10.1016/j.cell.2015.03.019 · Cited by 1,050 · see citing works
Global Synthesis of Drought Effects on Maize and Wheat Production
Daryanto, S., Wang, L., & Jacinthe, P.-A. (2016) · PLoS ONE · doi:10.1371/journal.pone.0156362 · Cited by 1,028 · see citing works
Distinguishing between yield advances and yield plateaus in historical crop production trends
Grassini, P., Eskridge, K. M., & Cassman, K. G. (2013) · Nature Communications · doi:10.1038/ncomms3918 · Cited by 848 · see citing works
Leverage points for improving global food security and the environment
West, P. C., Gerber, J., Engstrom, P. M., Mueller, N. D., Brauman, K. A., Carlson, K. M., Cassidy, E. S., Johnston, M., MacDonald, G. K., Ray, D. K., et al. (2014) · Science · doi:10.1126/science.1246067 · Cited by 782 · see citing works
Ecological intensification of agriculture — sustainable by nature
Tittonell, P. (2014) · Current Opinion in Environmental Sustainability · doi:10.1016/j.cosust.2014.08.006 · Cited by 770 · see citing works
USDA National Nutrient Database for Standard reference
(2018) · Cited by 750 · see citing works
Reconciling Agricultural Productivity and Environmental Integrity: A Grand Challenge for Agriculture
Robertson, G. P., & Swinton, S. M. (2005) · Frontiers in Ecology and the Environment · doi:10.1890/1540-9295(2005)003[0038:rapaei]2.0.co;2 · Cited by 578 · see citing works
Cropland expansion outpaces agricultural and biofuel policies in the United States
Lark, T. J., Meghan Salmon, J., & Gibbs, H. K. (2015) · Environmental Research Letters · doi:10.1088/1748-9326/10/4/044003 · Cited by 484 · see citing works
Sharrock, S. L. (2016) · CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research) · Cited by 466 · see citing works
Meeting future food demand with current agricultural resources
Davis, K. F., Gephart, J. A., Emery, K., Leach, A. M., Galloway, J. N., & D’Odorico, P. (2016) · Global Environmental Change · doi:10.1016/j.gloenvcha.2016.05.004 · Cited by 448 · see citing works
Navigating a Critical Juncture for Sustainable Weed Management
Mortensen, D. A., Egan, J. F., Maxwell, B. D., Ryan, M. R., & Smith, R. G. (2012) · BioScience · doi:10.1525/bio.2012.62.1.12 · Cited by 357 · see citing works
Self-citationGrowing water scarcity in agriculture: future challenge to global water security
Falkenmark, M. (2013) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2012.0410 · Cited by 341 · see citing works
Putting meaning back into “sustainable intensification”
Loos, J., Abson, D. J., Chappell, M. J., Hanspach, J., Mikulčak, F., Tichit, M., & Fischer, J. (2014) · Frontiers in Ecology and the Environment · doi:10.1890/130157 · Cited by 321 · see citing works
Realizing Resilient Food Systems
Schipanski, M. E., MacDonald, G. K., Rosenzweig, S. T., Chappell, M. J., Bennett, E. M., Kerr, R. B., Blesh, J., Crews, T. E., Drinkwater, L. E., Lundgren, J. G., et al. (2016) · BioScience · doi:10.1093/biosci/biw052 · Cited by 287 · see citing works
Self-citationWhat is sustainable intensification? Views from experts
Petersen, B., & Snapp, S. S. (2015) · Land Use Policy · doi:10.1016/j.landusepol.2015.02.002 · Cited by 281 · see citing works
Beyond climate-smart agriculture: toward safe operating spaces for global food systems
Neufeldt, H., Jahn, M., Campbell, B., Beddington, J. R., DeClerck, F., Pinto, A. D., Gulledge, J., Hellin, J., Herrero, M., Jarvis, A., et al. (2013) · Agriculture & Food Security · doi:10.1186/2048-7010-2-12 · Cited by 239 · see citing works
Water Level Declines in the High Plains Aquifer: Predevelopment to Resource Senescence
Haacker, E., Kendall, A. D., & Hyndman, D. W. (2015) · Ground Water · doi:10.1111/gwat.12350 · Cited by 217 · see citing works
To close the yield-gap while saving biodiversity will require multiple locally relevant strategies
Cunningham, S. A., Attwood, S. J., Bawa, K. S., Benton, T. G., Broadhurst, L., Didham, R. K., McIntyre, S., Perfecto, I., Samways, M. J., Tscharntke, T., et al. (2013) · Agriculture Ecosystems & Environment · doi:10.1016/j.agee.2013.04.007 · Cited by 152 · see citing works
Hypoxia in the Northern Gulf of Mexico
Dale, V. H., Wright, D., Kling, C. L., Boynton, W. R., Meyer, J. L., Mankin, K. R., Sanders, J. G., Opaluch, J. J., Conley, D. J., Stallworth, H., et al. (2010) · Springer series on environmental management · doi:10.1007/978-0-387-89686-1 · Cited by 127 · see citing works
McIsaac, G. F., David, M. B., & Gertner, G. Z. (2016) · Journal of Environmental Quality · doi:10.2134/jeq2015.10.0531 · Cited by 41 · see citing works
Using pay-for-performance conservation to address the challenges of the next farm bill
Winsten, J. R., & Hunter, M. (2011) · Journal of Soil and Water Conservation · doi:10.2489/jswc.66.4.111a · Cited by 22 · see citing works
Self-citationBeyond Climate-Smart Agriculture: Toward Safe Operating Spaces for Global Food Systems
Etingoff, K. (2016) · Apple Academic Press eBooks · doi:10.1201/b19837-23 · Cited by 4 · see citing works
Flagged first, then by citations
1 of the 40 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
van Dijk, M., Morley, T., Rau, M. L., & Saghai, Y. (2021) · Nature Food · doi:10.1038/s43016-021-00322-9 · Cited by 2,339 · see citing works
Internet-of-Things (IoT)-Based Smart Agriculture: Toward Making the Fields Talk
Ayaz, M., Uddin, M. A., Sharif, Z., Mansour, A., & Aggoune, E. M. (2019) · IEEE Access · doi:10.1109/access.2019.2932609 · Cited by 1,319 · see citing works
Trends in Global Agricultural Land Use: Implications for Environmental Health and Food Security
Ramankutty, N., Mehrabi, Z., Waha, K., Jarvis, L., Kremen, C., Herrero, M., & Rieseberg, L. H. (2018) · Annual Review of Plant Biology · doi:10.1146/annurev-arplant-042817-040256 · Cited by 954 · see citing works
The Future of Aquatic Protein: Implications for Protein Sources in Aquaculture Diets
Hua, K., Cobcroft, J. M., Cole, A. J., Condon, K., Jerry, D. R., Mangott, A., Praeger, C., Vucko, M. J., Zeng, C., Zenger, K. R., et al. (2019) · One Earth · doi:10.1016/j.oneear.2019.10.018 · Cited by 863 · see citing works
Lal, R. (2018) · Global Change Biology · doi:10.1111/gcb.14054 · Cited by 900 · see citing works
The Global Food‐Energy‐Water Nexus
D’Odorico, P., Davis, K. F., Rosa, L., Carr, J. A., Chiarelli, D. D., Dell’Angelo, J., Gephart, J. A., MacDonald, G. K., Seekell, D. A., Suweis, S. S., et al. (2018) · Reviews of Geophysics · doi:10.1029/2017rg000591 · Cited by 815 · see citing works
The future of farming: Who will produce our food?
Giller, K. E., Delaune, T., Silva, . V., Descheemaeker, K., van de Ven, G. W. J., SCHUT, A. G. T., van Wijk, M. T., Hammond, J., Hochman, Z., Taulya, G., et al. (2021) · Food Security · doi:10.1007/s12571-021-01184-6 · Cited by 721 · see citing works
Kim, J., Kim, S. C., Ju, C., & Son, H. I. (2019) · IEEE Access · doi:10.1109/access.2019.2932119 · Cited by 615 · see citing works
Regenerative Agriculture: An agronomic perspective
Giller, K. E., Hijbeek, R., Andersson, J. A., & Sumberg, J. (2021) · Outlook on Agriculture · doi:10.1177/0030727021998063 · Cited by 605 · see citing works
Impacts of land use, population, and climate change on global food security
Molotoks, A., Smith, P., & Dawson, T. P. (2020) · Food and Energy Security · doi:10.1002/fes3.261 · Cited by 635 · see citing works
Climate change and the need for agricultural adaptation
Anderson, R., Bayer, P. E., & Edwards, D. (2020) · Current Opinion in Plant Biology · doi:10.1016/j.pbi.2019.12.006 · Cited by 546 · see citing works
Bowles, T. M., Mooshammer, M., Socolar, Y., Calderón, F., Cavigelli, M. A., Culman, S. W., Deen, W., Drury, C. F., Garcia y Garcia, A., Gaudin, A. C. M., et al. (2020) · One Earth · doi:10.1016/j.oneear.2020.02.007 · Cited by 526 · see citing works
Global Aquaculture Productivity, Environmental Sustainability, and Climate Change Adaptability
Ahmed, N., Thompson, S., & Glaser, M. (2018) · Environmental Management · doi:10.1007/s00267-018-1117-3 · Cited by 475 · see citing works
An ecological future for weed science to sustain crop production and the environment. A review
MacLaren, C., Storkey, J., Menegat, A., Metcalfe, H., & Dehnen‐Schmutz, K. (2020) · Agronomy for Sustainable Development · doi:10.1007/s13593-020-00631-6 · Cited by 352 · see citing works
The environmental costs and benefits of high-yield farming
Balmford, A., Amano, T., Bartlett, H., Chadwick, D., Collins, A., Edwards, D., Field, R., Garnsworthy, P., Green, R., Smith, P., et al. (2018) · Nature Sustainability · doi:10.1038/s41893-018-0138-5 · Cited by 343 · see citing works
Towards a multiscale crop modelling framework for climate change adaptation assessment
Peng, B., Guan, K., Tang, J., Ainsworth, E. A., Asseng, S., Bernacchi, C. J., Cooper, M., Delucia, E. H., Elliott, J. W., Ewert, F., et al. (2020) · Nature Plants · doi:10.1038/s41477-020-0625-3 · Cited by 322 · see citing works
Gill, T., Gill, S. K., Saini, D. K., Chopra, Y., de Koff, J. P., & Sandhu, K. S. (2022) · Phenomics · doi:10.1007/s43657-022-00048-z · Cited by 345 · see citing works
Super-Pangenome by Integrating the Wild Side of a Species for Accelerated Crop Improvement
Khan, A. W., Garg, V., Roorkiwal, M., Golicz, A. A., Edwards, D., & Varshney, R. K. (2019) · Trends in Plant Science · doi:10.1016/j.tplants.2019.10.012 · Cited by 314 · see citing works
Artificial Intelligence Technology in the Agricultural Sector: A Systematic Literature Review
Α, E. E., Mostafa, N., Al-Arnaout, Z., Zreikat, A. I., Cina, E., Varghese, G., Shdefat, A. Y., Topcu, A. E., Abdelbaki, W., Mathew, S., et al. (2022) · IEEE Access · doi:10.1109/access.2022.3232485 · Cited by 286 · see citing works
Microalgae–nutritious, sustainable aqua-and animal feed source
Dineshbabu, G., Goswami, G., Kumar, R., Sinha, A., & Das, D. (2019) · Journal of Functional Foods · doi:10.1016/j.jff.2019.103545 · Cited by 285 · see citing works
Comparative terrestrial feed and land use of an aquaculture-dominant world
Froehlich, H. E., Runge, C. A., Gentry, R. R., Gaines, S. D., & Halpern, B. S. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1801692115 · Cited by 275 · see citing works
Islam, N., Rashid, M. M., Pasandideh, F., Ray, B. R., Moore, S., & Kadel, R. (2021) · Sustainability · doi:10.3390/su13041821 · Cited by 269 · see citing works
Farooq, M. S., Uzair, M., Raza, A., Habib, M., Xu, Y., Yousuf, M. J., Yang, S. H., & Khan, M. R. (2022) · Frontiers in Plant Science · doi:10.3389/fpls.2022.927535 · Cited by 290 · see citing works
High-Throughput Field-Phenotyping Tools for Plant Breeding and Precision Agriculture
Chawade, A., Ham, J. V., Blomquist, H., Bagge, O., Alexandersson, E., & Ortiz, R. O. (2019) · Agronomy · doi:10.3390/agronomy9050258 · Cited by 259 · see citing works
Meeting the Food Security Challenge for Nine Billion People in 2050: What Impact on Forests?
Bahar, N. H. A., Lo, M., Sanjaya, M., Van Vianen, J., Alexander, P., Ickowitz, A., & Sunderland, T. (2020) · Global Environmental Change · doi:10.1016/j.gloenvcha.2020.102056 · Cited by 259 · see citing works
Smart reprograming of plants against salinity stress using modern biotechnological tools
Raza, A., Tabassum, J., Fakhar, A. Z., Sharif, R., Chen, H., Zhang, C., Ju, L., Fotopoulos, V., Siddique, K. H. M., Singh, R. K., et al. (2022) · Critical Reviews in Biotechnology · doi:10.1080/07388551.2022.2093695 · Cited by 259 · see citing works
Review of the internet of things communication technologies in smart agriculture and challenges
Tao, W., Zhao, L., Wang, G., & Liang, R. (2021) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2021.106352 · Cited by 251 · see citing works
Aslan, M. F., Durdu, A., Sabancı, K., Ropelewska, E., & Gültekın, S. S. (2022) · Applied Sciences · doi:10.3390/app12031047 · Cited by 241 · see citing works
Etesami, H., Jeong, B. R., & Glick, B. R. (2023) · Current Research in Biotechnology · doi:10.1016/j.crbiot.2023.100128 · Cited by 243 · see citing works
Thermal Stresses in Maize: Effects and Management Strategies
Waqas, M. A., Wang, X., Zafar, S. A., Noor, M. A., Hussain, H. A., Nawaz, M. A., & Farooq, M. (2021) · Plants · doi:10.3390/plants10020293 · Cited by 251 · see citing works
Emerging Wearable Sensors for Plant Health Monitoring
Lee, G., Wei, Q., & Zhu, Y. (2021) · Advanced Functional Materials · doi:10.1002/adfm.202106475 · Cited by 228 · see citing works
Kalwani, M., Chakdar, H., Srivastava, A., Pabbi, S., & Shukla, P. (2021) · Chemosphere · doi:10.1016/j.chemosphere.2021.132107 · Cited by 223 · see citing works
Principles, Applications, and Biosafety of Plant Genome Editing Using CRISPR-Cas9
El‐Mounadi, K., Morales-Floriano, M. L., & García-Ruíz, H. (2020) · Frontiers in Plant Science · doi:10.3389/fpls.2020.00056 · Cited by 227 · see citing works
Challenges to Use Machine Learning in Agricultural Big Data: A Systematic Literature Review
Cravero, A., Pardo, S., Sepúlveda, S., & Múñoz, L. (2022) · Agronomy · doi:10.3390/agronomy12030748 · Cited by 220 · see citing works
The Nitrogen Balancing Act: Tracking the Environmental Performance of Food Production
McLellan, E. L., Cassman, K. G., Eagle, A. J., Woodbury, P. B., Sela, S., Tonitto, C., Marjerison, R. D., & van Es, H. M. (2017) · BioScience · doi:10.1093/biosci/bix164 · Cited by 215 · see citing works
Agricultural intensification, dietary diversity, and markets in the global food security narrative
Ickowitz, A., Powell, B., Rowland, D., Jones, A. D., & Sunderland, T. (2018) · Global Food Security · doi:10.1016/j.gfs.2018.11.002 · Cited by 225 · see citing works
Nutrients in the rhizosphere: A meta-analysis of content, availability, and influencing factors
Liu, S., He, F., Kuzyakov, Y. V., Xiao, H., Hoang, D. T. T., Pu, S., & Razavi, B. S. (2022) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2022.153908 · Cited by 214 · see citing works
A Meta-Analysis of Biostimulant Yield Effectiveness in Field Trials
Li, J., Gerrewey, T. V., & Geelen, D. (2022) · Frontiers in Plant Science · doi:10.3389/fpls.2022.836702 · Cited by 236 · see citing works
Mahmood, M. R., Matin, M. A., Sarigiannidis, P., & Goudos, S. K. (2022) · IEEE Access · doi:10.1109/access.2022.3199689 · Cited by 209 · see citing works
Microbiome diversity and dysbiosis in aquaculture
Villamil, S. I., Huerlimann, R., & Jerry, D. R. (2020) · Reviews in Aquaculture · doi:10.1111/raq.12513 · Cited by 204 · see citing works
Azadirachtin-Based Insecticide: Overview, Risk Assessments, and Future Directions
Kilani‐Morakchi, S., Morakchi-Goudjil, H., & Sifi, K. (2021) · Frontiers in Agronomy · doi:10.3389/fagro.2021.676208 · Cited by 204 · see citing works
Engineering rhizobacteria for sustainable agriculture
Haskett, T. L., Tkacz, A., & Poole, P. S. (2020) · The ISME Journal · doi:10.1038/s41396-020-00835-4 · Cited by 203 · see citing works
Big Data and Machine Learning With Hyperspectral Information in Agriculture
Ang, L.-M., & Seng, J. K. P. (2021) · IEEE Access · doi:10.1109/access.2021.3051196 · Cited by 202 · see citing works
Long-term evidence for ecological intensification as a pathway to sustainable agriculture
MacLaren, C., Mead, A., van Balen, D., Claessens, L., Etana, A., de Haan, J. J., Haagsma, W., Jäck, O., Keller, T., Labuschagne, J., et al. (2022) · Nature Sustainability · doi:10.1038/s41893-022-00911-x · Cited by 201 · see citing works
Phalke, A. R., Mutlu Ozdogan, A., Thenkabail, P. S., Erickson, T. A., Gorelick, N., Yadav, K., & Congalton, R. G. (2020) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2020.06.022 · Cited by 193 · see citing works
Nanofertilizers: A Cutting-Edge Approach to Increase Nitrogen Use Efficiency in Grasslands
Mejías, J. H., Salazar, F., Amaro, L. P., Sara Hube, S., Rodriguez, M. A., & Alfaro, M. A. (2021) · Frontiers in Environmental Science · doi:10.3389/fenvs.2021.635114 · Cited by 185 · see citing works
Edge computing: A tractable model for smart agriculture?
O’Grady, M. J., Langton, D., & O’Hare, G. M. P. (2019) · Artificial Intelligence in Agriculture · doi:10.1016/j.aiia.2019.12.001 · Cited by 182 · see citing works
Development pathways toward “zero hunger”
Blesh, J., Hoey, L., Jones, A. D., Friedmann, H., & Perfecto, I. (2019) · World Development · doi:10.1016/j.worlddev.2019.02.004 · Cited by 181 · see citing works
Biocontrol of plant diseases by Bacillus spp.
Etesami, H., Jeong, B. R., & Glick, B. R. (2023) · Physiological and Molecular Plant Pathology · doi:10.1016/j.pmpp.2023.102048 · Cited by 182 · see citing works
A framework for priority-setting in climate smart agriculture research
Thornton, P. K., Whitbread, A. M., Baedeker, T., Cairns, J. E., Claessens, L., Baethgen, W., Bunn, C., Friedmann, M. C., Giller, K. E., Herrero, M., et al. (2018) · Agricultural Systems · doi:10.1016/j.agsy.2018.09.009 · Cited by 184 · see citing works
Byrne, P. F., Volk, G. M., Gardner, C. A. C., Gore, M. A., Simon, P. W., & Smith, S. (2018) · Crop Science · doi:10.2135/cropsci2017.05.0303 · Cited by 170 · see citing works
Novel Extraction technologies for developing plant protein ingredients with improved functionality
Hewage, A. H., Olatunde, O. O., Nimalaratne, C., Malalgoda, M., Aluko, R. E., & Bandara, N. (2022) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2022.10.016 · Cited by 168 · see citing works
Post-2020 biodiversity framework challenged by cropland expansion in protected areas
Meng, Z., Dong, J., Ellis, E. C., Metternicht, G. I., Qin, Y., Song, X., Löfqvist, S., Garrett, R. D., Jia, X., & Xiao, X. (2023) · Nature Sustainability · doi:10.1038/s41893-023-01093-w · Cited by 173 · see citing works
The influence of soil management on soil health: An on-farm study in southern Sweden
Williams, H., Colombi, T., & Keller, T. (2019) · Geoderma · doi:10.1016/j.geoderma.2019.114010 · Cited by 168 · see citing works
Chen, H., Lan, Y., Fritz, B. K., Hoffmann, W. C., & Liu, S. (2021) · International journal of agricultural and biological engineering · doi:10.25165/j.ijabe.20211401.5714 · Cited by 155 · see citing works
Rumen Microbiome Composition Is Altered in Sheep Divergent in Feed Efficiency
McLoughlin, S., Spillane, C., Claffey, N. A., Smith, P. E., O’Rourke, T., Diskin, M. G., & Waters, S. M. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.01981 · Cited by 155 · see citing works
Avoiding the ecological limits of forage fish for fed aquaculture
Froehlich, H. E., Jacobsen, N. S., Essington, T. E., Clavelle, T., & Halpern, B. S. (2018) · Nature Sustainability · doi:10.1038/s41893-018-0077-1 · Cited by 153 · see citing works
Henriksson, P. J. G., Belton, B., Murshed-e-Jahan, K., & Rico, A. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1716530115 · Cited by 157 · see citing works
Can cropland management practices lower net greenhouse emissions without compromising yield?
Shang, Z., Abdalla, M., Xia, L., Zhou, F., Sun, W., & Smith, P. (2021) · Global Change Biology · doi:10.1111/gcb.15796 · Cited by 142 · see citing works
Crop biotechnology and the future of food
Steinwand, M. A., & Ronald, P. C. (2020) · Nature Food · doi:10.1038/s43016-020-0072-3 · Cited by 146 · see citing works
Haider, S., Raza, A., Iqbal, J., Shaukat, M., & Mahmood, T. (2022) · Molecular Biology Reports · doi:10.1007/s11033-022-07190-x · Cited by 141 · see citing works
Ecological and evolutionary approaches to improving crop variety mixtures
Wuest, S. E., Peter, R., & Niklaus, P. A. (2021) · Nature Ecology & Evolution · doi:10.1038/s41559-021-01497-x · Cited by 140 · see citing works
Barthel, S., Isendahl, C., Vis, B. N., Drescher, A., Evans, D., & van Timmeren, A. (2019) · The Anthropocene Review · doi:10.1177/2053019619856672 · Cited by 138 · see citing works
Targeting Root Ion Uptake Kinetics to Increase Plant Productivity and Nutrient Use Efficiency
Griffiths, M., & York, L. M. (2020) · PLANT PHYSIOLOGY · doi:10.1104/pp.19.01496 · Cited by 134 · see citing works
Li, Y., Bruni, L., Jaramillo-Torres, A., Gajardo, K., Kortner, T. M., & Krogdahl, Å. (2021) · Animal Microbiome · doi:10.1186/s42523-020-00071-3 · Cited by 128 · see citing works
From Smart Farming towards Unmanned Farms: A New Mode of Agricultural Production
Wang, T., Xu, X., Wang, C., Li, Z., & Li, D. (2021) · Agriculture · doi:10.3390/agriculture11020145 · Cited by 133 · see citing works
Blom, T., Jenkins, A., Pulselli, R. M., & van den Dobbelsteen, A. (2022) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2022.134443 · Cited by 133 · see citing works
Functional diversity positively affects prey suppression by invertebrate predators: a meta‐analysis
Greenop, A., Woodcock, B. A., Wilby, A., Cook, S. M., & Pywell, R. F. (2018) · Ecology · doi:10.1002/ecy.2378 · Cited by 129 · see citing works
Analysis of Arbuscular Mycorrhizal Fungal Inoculant Benchmarks
Basiru, S., Mwanza, H. P., & Hijri, M. (2020) · Microorganisms · doi:10.3390/microorganisms9010081 · Cited by 127 · see citing works
Vertical farming goes dynamic: optimizing resource use efficiency, product quality, and energy costs
Kaiser, E., Kusuma, P., Vialet‐Chabrand, S., Folta, K. M., Liu, Y., Poorter, H., Woning, N., Shrestha, S., Ciarreta, A., Brenk, J. B. V., et al. (2024) · Frontiers in Science · doi:10.3389/fsci.2024.1411259 · Cited by 125 · see citing works
Thornton, P. K., Kristjanson, P., Förch, W., Barahona, C., Cramer, L. K., & Pradhan, S. (2018) · Global Environmental Change · doi:10.1016/j.gloenvcha.2018.06.003 · Cited by 124 · see citing works
Alternative protein sources in aquafeed: Current scenario and future perspectives
Serra, V., Pastorelli, G., Tedesco, D. E. A., Turin, L., & Guerrini, A. (2024) · Veterinary and Animal Science · doi:10.1016/j.vas.2024.100381 · Cited by 144 · see citing works
Benítez, M., Ewing, P. M., Osborne, S. L., & Lehman, R. M. (2021) · Soil Biology and Biochemistry · doi:10.1016/j.soilbio.2021.108309 · Cited by 120 · see citing works
Scott, N. R., Chen, H., & Cui, H. (2018) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.8b00964 · Cited by 120 · see citing works
Prebiotics and synbiotics – in ovo delivery for improved lifespan condition in chicken
Siwek, M. Z., Sławińska, A., Stadnicka, K., Bogucka, J., Dunisławska, A., & Bednarczyk, M. F. (2018) · BMC Veterinary Research · doi:10.1186/s12917-018-1738-z · Cited by 114 · see citing works
Photovoltaic panels as shading resources for livestock
Maia, A. S. C., Culhari, E. D. A., Fonsêca, V. D. F. C., Milan, H. F. M., & Gebremedhin, K. G. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.120551 · Cited by 111 · see citing works
A pan-Zea genome map for enhancing maize improvement
Gui, S., Wei, W., Jiang, C., Luo, J., Chen, L., Wu, S., Li, W., Wang, Y., Li, S., Yang, N., et al. (2022) · Genome biology · doi:10.1186/s13059-022-02742-7 · Cited by 113 · see citing works
Laurett, R., Paço, A. M. F. D., & Mainardes, E. W. (2020) · Sustainable Production and Consumption · doi:10.1016/j.spc.2020.10.032 · Cited by 109 · see citing works
Fincheira, P., Quiróz, A., Tortella, G., Diez, M. C., & Rubilar, O. (2021) · Microbiological Research · doi:10.1016/j.micres.2021.126726 · Cited by 105 · see citing works
Cristofano, F., El‐Nakhel, C., & Rouphael, Y. (2021) · Biomolecules · doi:10.3390/biom11081103 · Cited by 104 · see citing works
Investigating logistics-related food loss drivers: A study on fresh fruit and vegetable supply chain
Surucu-Balci, E., & Tuna, O. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.128561 · Cited by 115 · see citing works
Recent advances in E-monitoring of plant diseases
Mohammad‐Razdari, A., Rousseau, D., Bakhshipour, A., Taylor, S., Poveda, J., & Kiani, H. (2022) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2021.113953 · Cited by 102 · see citing works
Pervasive cropland in protected areas highlight trade-offs between conservation and food security
Vijay, V., & Armsworth, P. R. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2010121118 · Cited by 102 · see citing works
Griffiths, M., Delory, B. M., Jawahir, V., Wong, K. M., Bagnall, G. C., Dowd, T. G., Nusinow, D. A., Miller, A. J., & Topp, C. N. (2021) · Plant Cell & Environment · doi:10.1111/pce.14247 · Cited by 110 · see citing works
Using Bibliometric Analysis to Understand the Recent Progress in Agroecosystem Services Research
Liu, W., Wang, J., Li, C., Chen, B., & Sun, Y. (2018) · Ecological Economics · doi:10.1016/j.ecolecon.2018.09.001 · Cited by 118 · see citing works
Guava Disease Detection Using Deep Convolutional Neural Networks: A Case Study of Guava Plants
Mostafa, A. M., Kumar, S. A., Meraj, T., Rauf, H. T., Alnuaim, A. A., & Alkhayyal, M. A. (2021) · Applied Sciences · doi:10.3390/app12010239 · Cited by 98 · see citing works
Performance evaluation of YOLO v5 model for automatic crop and weed classification on UAV images
Ajayi, O. G., Ashi, J., & Guda, B. (2023) · Smart Agricultural Technology · doi:10.1016/j.atech.2023.100231 · Cited by 98 · see citing works
Strock, C., Burridge, J., Massas, A. S. F., Beaver, J. S., Beebe, S., Camilo, S. A., Fourie, D., Jochua, C. N., Miguel, M. A., Miklas, P. N., et al. (2019) · Field Crops Research · doi:10.1016/j.fcr.2019.04.012 · Cited by 94 · see citing works
Sustainable management education and an empirical five-pillar model of sustainability
Greenland, S. J., Saleem, M. A., Misra, R., & Mason, J. (2022) · The International Journal of Management Education · doi:10.1016/j.ijme.2022.100658 · Cited by 103 · see citing works
Meta‐analysis on the potential for increasing nitrogen losses from intensifying tropical agriculture
Huddell, A. M., Galford, G. L., Tully, K. L., Crowley, C. F., Palm, C. A., Neill, C., Hickman, J. E., & Menge, D. N. L. (2020) · Global Change Biology · doi:10.1111/gcb.14951 · Cited by 93 · see citing works
Jankowski, K. J., Neill, C., Davidson, E. A., Macedo, M. N., Costa, C., Galford, G. L., Maracahipes‐Santos, L., Lefebvre, P., Nunes, D., Cerri, C. E. P., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-31175-1 · Cited by 90 · see citing works
Estimation of Sugarcane Yield Using a Machine Learning Approach Based on UAV-LiDAR Data
Xu, J., Ma, J., Tang, Y., Wu, W., Shao, J.-H., Wu, W., Wei, S., Liu, Y., Wang, Y.-C., & Guo, H. (2020) · Remote Sensing · doi:10.3390/rs12172823 · Cited by 90 · see citing works
Talukdar, S., Naikoo, M. W., Mallick, J., Praveen, B., Shahfahad, Sharma, P., Islam, A. R. M. T., Pal, S., & Rahman, A. (2021) · Agricultural Systems · doi:10.1016/j.agsy.2021.103343 · Cited by 90 · see citing works
Confronting Barriers to Cropping System Diversification
Mortensen, D. A., & Smith, R. G. (2020) · Frontiers in Sustainable Food Systems · doi:10.3389/fsufs.2020.564197 · Cited by 94 · see citing works
Self-citationAre cover crop mixtures better at suppressing weeds than cover crop monocultures?
Smith, R. G., Warren, N. D., & Cordeau, S. (2020) · Weed Science · doi:10.1017/wsc.2020.12 · Cited by 89 · see citing works
Self-citationRodríguez, R., & Durán, P. (2020) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2020.00568 · Cited by 88 · see citing works
Lahlali, R., Ibrahim, D. S. S., Belabess, Z., Roni, M. Z. K., Radouane, N., Vicente, C. S. L., Menéndez, E., Mokrını, F., Barka, E. A., Mota, M. G. D. M. E., et al. (2021) · Heliyon · doi:10.1016/j.heliyon.2021.e08142 · Cited by 89 · see citing works
Biosecurity policy and legislation for the global seaweed aquaculture industry
Campbell, I., Kambey, C. S. B., Mateo, J. P., Rusekwa, S. B., Hurtado, A. Q., Msuya, F. E., Stentiford, G. D., & Cook, E. (2019) · Journal of Applied Phycology · doi:10.1007/s10811-019-02010-5 · Cited by 87 · see citing works
Molecular basis of cerium oxide nanoparticle enhancement of rice salt tolerance and yield
Zhou, H., Wu, H., Zhang, F., Su, Y., Guan, W., Xie, Y., Giraldo, J. P., & Shen, W. (2021) · Environmental Science Nano · doi:10.1039/d1en00390a · Cited by 87 · see citing works
Regional data sets of high-resolution (1 and 6 km) irrigation estimates from space
Dari, J., Brocca, L., Modanesi, S., Massari, C., Tarpanelli, A., Barbetta, S., Quast, R., Vreugdenhil, M., Freeman, V., Barella-Ortiz, A., et al. (2023) · Earth system science data · doi:10.5194/essd-15-1555-2023 · Cited by 87 · see citing works
- Authors
- Hunter, M. C., Smith, R. G., Schipanski, M. E., Atwood, L. W., & Mortensen, D. A.
- Affiliations
- Pennsylvania State University (US)
- University of New Hampshire (US)
- Colorado State University (US)
- Venue
- BioScience
- Publisher
- Oxford University Press (OUP)
- Published
- 2017-02-22
- Volume
- 67
- Issue
- 4
- Pages
- 386-391
- ISSN
- 0006-3568 (ISSN-L)
- 1525-3244
- OpenAlex
- W2591121333
- Cited by
- 1,004
- References
- 40
- Citations by year
- 2026: 69 · 2025: 104 · 2024: 151 · 2023: 142 · 2022: 166 · 2021: 155 · 2020: 104 · 2019: 58 · 2018: 43 · 2017: 10
- FWCI
- 44.23
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- BioScience (publishedVersion)
- Funders
- National Science Foundation (DGE1255832)
- USDA Agriculture and Food Research Initiative Climate Change Mitigation and Adaptation in Agriculture (2011-67003-30343)
- USDA Organic Research and Extension Initiative (2011-51300-30638)
- Topics
- Physical Sciences › Environmental Science › Ecology › Agriculture Sustainability and Environmental Impact
- Physical Sciences › Environmental Science › Environmental Chemistry › Sustainable Agricultural Systems Analysis
- Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Climate change impacts on agriculture
- Keywords
- sustainable intensification, future of agriculture, crop demand, nutrient loss, greenhouse gas emissions from agriculture, agricultural policy, ecosystem functioning
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review