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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.
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“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]
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Reshi, I. A., Muzamil, M., Banday, R. U. Z., Gul, D., Tak, S. A., & Rasool, S. (2024) · Transactions of Indian National Academy of Engineering · doi:10.1007/s41403-024-00510-6 · Cited by 2
Applications and Accomplishments in Internet of Things as the Cutting-edge Technology: An overviewPreprint
Upadhyaya, A., Mistry, C., Kedia, D., Pal, D., & De, R. (2022) · doi:10.31219/osf.io/p9enu · Cited by 2
UAV-Multispectral Sensed Data Band Co-Registration Framework
Júnior, J. D. D. (2020) · doi:10.14393/ufu.di.2020.289 · Cited by 2
Amo, A., Serikbay, D., Song, L., Chen, L., & Hu, Y. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.05.13.491906 · Cited by 2
“…and PPD-1 allelic variants have resulted in variations in phenological development such as flowering time and agronomic traits (Cane et al., 2013; Iqbal et al., 2006; Karsai et al., 2006) tillering, plant height, and spikelet number (Dyck et al., 2004; Miralles and Richard, 2000; Worland et al.,…”
BackgroundExploring natural genetic variation in photosynthesis-related traits of barley in the fieldPreprint
Gao, Y., Stein, M., Oshana, L., Zhao, W., Matsubara, S., & Stich, B. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.12.04.569890 · Cited by 2
Placement and concentration in agriculture: latest trends (case study by Russian egg poultry)
Kostenko, O. V. (2021) · E3S Web of Conferences · doi:10.1051/e3sconf/202124701022 · Cited by 1
Biochemical and molecular adaptation of rice plants towards low phosphate condition
To, H. T. M., Hà, C. H., & P., N. T. (2022) · TAP CHI SINH HOC · doi:10.15625/2615-9023/17087 · Cited by 1
Frost formation through super-cooled water within micron gap of galvanic coupled arrays
Mekawy, M. M., Hirayama, K., Sakamoto, Y., & Kawakita, J. (2022) · RSC Advances · doi:10.1039/d2ra04217g · Cited by 1
Development and Evaluation of a Locally Designed Solar Integrated Egg Incubator
Lawal, M. O., Ogunlade, C. A., & Atanda, K. T. (2023) · Uniosun Journal of Engineering and Environmental Sciences · doi:10.36108/ujees/3202.50.0121 · Cited by 1
Optimal Distribution of UAVs in Crop Spraying Considering Energy Consumption
Archila, O. F., Quijano, N., & Martinez-Piazuelo, J. (2024) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.23919/acc60939.2024.10644752 · Cited by 1
“I N recent years, the population growth rate has increased to the point where, by 2050, food production will need to increase between 20 and 70 percent to meet global demand [1].”
BackgroundClimate change as a threat to global food security
Ahmad, A., Wenxuan, M., Abbas, A., Hameed, R., Balooch, S., & Khattak, W. A. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-23707-2.00002-7 · Cited by 2
Vineyard Edges Increase Bird Richness and Abundance and Conservation Opportunities in Central Chile
Muñoz‐Sáez, A. (2024) · Agriculture · doi:10.3390/agriculture14122098 · Cited by 3
Effects of Varying Durations of Synbiotic Use on Growth Performance in Cobb-500 Broilers
Acharya, A., Barsila, S. R., Devkota, B., & Basnet, H. B. (2024) · Journal of the Institute of Agriculture and Animal Science · doi:10.3126/jiaas.v38i1.73085 · Cited by 1
Computational design for more engaged, impactful, and dynamic agricultural research
Kantar, M. B., Ewing, P. M., Bančič, J., Fumia, N., Garba, I. I., Jamshidi, S., Jannink, J., Jha, P. K., Jungers, J. M., Pathak, H., et al. (2025) · Crop Science · doi:10.1002/csc2.70034 · Cited by 1
Nanotechnology in Agriculture: Harnessing Nanofertilizers for Sustainable Global Food Security
Patra, A. K., & M., V. (2025) · Sustainability Sciences in Asia and Africa · doi:10.1007/978-981-97-8112-6_2 · Cited by 1
Sneha, N., Murthy, M. S. A., & Ranjan, R. (2025) · SN Computer Science · doi:10.1007/s42979-025-04060-8 · Cited by 1
Morugán‐Coronado, A., Calatrava, J., Meno, L., Vega, F. A., Pouta, E., Tienhaara, A., Schrader, S., Bind, D.-A., Wustenberghs, H., Fleerakkers, S., et al. (2025) · Frontiers in Sustainable Food Systems · doi:10.3389/fsufs.2025.1615755 · Cited by 1
Sharma, N., & Shekhar, S. (2025) · Journal of Analytical Chemistry · doi:10.1134/s1061934825700686 · Cited by 1
Drone-based assessment of multifunctionality in mixed cropping systems
Wajima, T., Yoshino, N., Asai, M., Guo, W., & Fukano, Y. (2026) · Precision Agriculture · doi:10.1007/s11119-026-10352-7 · Cited by 1
“Consequently, modern agriculture faces the dual challenge of increasing food production while minimising environmental impacts (Hunter et al., 2017 ; Tamburino et al., 2020 ).”
Najmusher, H., & Meena, K. (2025) · SN Computer Science · doi:10.1007/s42979-025-04322-5 · Cited by 1
“From the survey done by [7] the necessity of the crop production must be increased by 25–70% all over the globe since the population of the world may reach over 10 billion by 2050.”
Metadata
- 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
- Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Sustainable Agricultural Systems Analysis
- Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › 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.
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