Role of Artificial Intelligence and the Internet of Things in Agriculture
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?
By analyzing and interpreting the data, farmers can comprehend the relationship between different agricultural factors, such as soil characteristics and climate variables, which aids in informed decisions and effective planning [113].
“By analyzing and interpreting the data, farmers can comprehend the relationship between different agricultural factors, such as soil characteristics and climate variables, which aids in informed decisions and effective planning [113].”
From A Comprehensive Survey on TinyML (2023) · cites this paper as [113]
Cites
Machine Learning in Agriculture: A Review
Liakos, K., Busato, P., Moshou, D., Pearson, S., & Bochtis, D. (2018) · Sensors · doi:10.3390/s18082674 · Cited by 3,441 · see citing works
Future Internet: The Internet of Things Architecture, Possible Applications and Key Challenges
Khan, R., Khan, S. U., Zaheer, R., & Khan, S. (2012) · International Conference on Frontiers of Information Technology (FIT) · doi:10.1109/fit.2012.53 · Cited by 1,392 · see citing works
Agriculture drones: A modern breakthrough in precision agriculture
Puri, V., Nayyar, A., & Raja, L. (2017) · Journal of Statistics and Management Systems · doi:10.1080/09720510.2017.1395171 · Cited by 419 · see citing works
Precision farming — the environmental challenge
Auernhammer, H. (2001) · Computers and Electronics in Agriculture · doi:10.1016/s0168-1699(00)00153-8 · Cited by 341 · see citing works
Drone Technology: Types, Payloads, Applications, Frequency Spectrum Issues and Future Developments
Vergouw, B., Nagel, H., Bondt, G., & Custers, B. H. M. (2016) · Information technology and law series/Information technology & law series · doi:10.1007/978-94-6265-132-6_2 · Cited by 295 · see citing works
Field Monitoring and Automation Using IOT in Agriculture Domain
Mohanraj, I., Ashokumar, K., & Naren, J. (2016) · Procedia Computer Science · doi:10.1016/j.procs.2016.07.275 · Cited by 285 · see citing works
A review of livestock monitoring and the need for integrated systems
Frost, A. R., Schofield, C. P., Beaulah, S. A., Mottram, T. T. F., Lines, J. A., & Wathes, C. M. (1997) · Computers and Electronics in Agriculture · doi:10.1016/s0168-1699(96)01301-4 · Cited by 275 · see citing works
Towards Smart Farming and Sustainable Agriculture with Drones
Tripicchio, P., Satler, M., Dabisias, G., Ruffaldi, E., & Avizzano, C. A. (2015) · International Conference on Intelligent Environments (IE) · doi:10.1109/ie.2015.29 · Cited by 265 · see citing works
The Handbook of Applied Expert Systems
(2019) · CRC Press eBooks · doi:10.1201/9780138736654 · Cited by 260 · see citing works
The internet of things in agriculture for sustainable rural development
Dlodlo, N., & Kalezhi, J. (2015) · International Conference on Emerging Trends in Networks and Computer Communications (ETNCC) · doi:10.1109/etncc.2015.7184801 · Cited by 228 · see citing works
Applying machine learning to agricultural data
McQueen, R. J., Garner, S. R., Nevill-Manning, C. G., & Witten, I. H. (1995) · Computers and Electronics in Agriculture · doi:10.1016/0168-1699(95)98601-9 · Cited by 173 · see citing works
Internet of Things (IoT) in Agriculture - Selected Aspects
DIT, F., Stočes, M., Vaněk, J., Masner, J., & Pavlík, J. (2016) · Agris on-line Papers in Economics and Informatics · doi:10.7160/aol.2016.080108 · Cited by 167 · see citing works
Precision Farming: An Introduction
Blackmore, S. (1994) · Outlook on Agriculture · doi:10.1177/003072709402300407 · Cited by 155 · see citing works
Kodali, R. K., Jain, V. K., & Karagwal, S. (2016) · IEEE Region Humanitarian Technology Conference · doi:10.1109/r10-htc.2016.7906846 · Cited by 146 · see citing works
Expert systems for agriculture
McKinion, J. M., & Lemmon, H. (1985) · Computers and Electronics in Agriculture · doi:10.1016/0168-1699(85)90004-3 · Cited by 129 · see citing works
Developing an Expert System for Plant Disease Diagnosis*
Abu-Naser, S. S., Kashkash, K. A., & Fayyad, M. (2010) · Journal of Artificial Intelligence · doi:10.3923/jai.2010.269.276 · Cited by 119 · see citing works
Using precision farming technologies to improve management of soil and fertiliser nitrogen
Blackmer, A. M., & White, S. E. (1997) · Australian Journal of Agricultural Research · doi:10.1071/a97073 · Cited by 89 · see citing works
Applying Machine Learning to Extract New Knowledge in Precision Agriculture Applications
Dimitriadis, S., & Goumopoulos, C. (2008) · Panhellenic Conference on Informatics · doi:10.1109/pci.2008.30 · Cited by 88 · see citing works
Developing a decision support system for integrated production in agriculture
Perini, A., & Susi, A. (2003) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2003.03.001 · Cited by 73 · see citing works
An integrated expert decision support system for agricultural management
Plant, R. E. (1989) · Agricultural Systems · doi:10.1016/0308-521x(89)90070-x · Cited by 52 · see citing works
Adoption of Artificial Intelligence in Agriculture
Popa, C. (2011) · Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca Agriculture · doi:10.15835/buasvmcn-agr:6454 · Cited by 51 · see citing works
Intelligent systems for agriculture in Japan
Hashimoto, Y., Murase, H., Morimoto, T., & Torii, T. (2001) · IEEE Control Systems · doi:10.1109/37.954520 · Cited by 51 · see citing works
Artificial intelligence in agriculture
Murase, H. (2000) · Computers and Electronics in Agriculture · doi:10.1016/s0168-1699(00)00132-0 · Cited by 45 · see citing works
Design of Cloud-Based Green IoT Architecture for Smart Cities
Kaur, G., Tomar, P., & Singh, P. (2017) · Studies in big data · doi:10.1007/978-3-319-60435-0_13 · Cited by 43 · see citing works
Self-citationApplication of IoT in Agriculture
Kumar, N., Kumar, A., Kumar, K., & Tanwar, S. (2021) · International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) · doi:10.1109/icrito51393.2021.9596120 · Cited by 38 · see citing works
A Study on Various Expert Systems in Agriculture
Babu, A. V. (2006) · Cited by 29 · see citing works
Experience with the Development and Deployment of Expert Systems in Agriculture.
Rafea, A., El-Azhari, S., Ibrahim, I., Edrees, S. A., & Mahmoud, M. (1995) · Innovative Applications of Artificial Intelligence · Cited by 23 · see citing works
A Prototype of IoT-Based Real Time Smart Street Parking System for Smart Cities
Tomar, P., Kaur, G., & Singh, P. (2017) · Studies in big data · doi:10.1007/978-3-319-60435-0_10 · Cited by 20 · see citing works
Self-citationExamining Cloud Computing Technologies Through the Internet of Things
Tomar, P., & Kaur, G. (2017) · Advances in wireless technologies and telecommunication book series · doi:10.4018/978-1-5225-3445-7 · Cited by 12 · see citing works
Self-citationRole of Communication Technologies for Smart Applications in IoT
Singh, G., & Kaur, G. (2019) · Advances in data mining and database management book series · doi:10.4018/978-1-5225-7432-3.ch017 · Cited by 4 · see citing works
Self-citationA Novel Approach to Smart Higen Chatbot System by Using Data Mining Algorithm
Sahane, P. J., Anuradha, N., & Kadlag, S. (2014) · Cited by 1 · see citing works
Flagged first, then by citations
1 of the 32 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Understanding the potential applications of Artificial Intelligence in Agriculture Sector
Javaid, M., Haleem, A., Khan, I. H., & Suman, R. (2022) · Advanced Agrochem · doi:10.1016/j.aac.2022.10.001 · Cited by 870 · see citing works
A Comprehensive Survey on TinyML
Abadade, Y., Temouden, A., Bamoumen, H., Benamar, N., Chtouki, Y., & Hafid, A. S. (2023) · IEEE Access · doi:10.1109/access.2023.3294111 · Cited by 366 · see citing works
“tain locations [113], such as in Africa [18], where internet bandwidth may not be sufficient to support the quick transmission to the cloud.”
BackgroundArtificial Intelligence Tools for the Agriculture Value Chain: Status and Prospects
Assimakopoulos, F., Vassilakis, C., Margaris, D., Kotis, K., & Spiliotopoulos, D. (2024) · Electronics · doi:10.3390/electronics13224362 · Cited by 91 · see citing works
Wireless Sensor Network-Based Artificial Intelligent Irrigation System: Challenges and Limitations
Ghareeb, A. Y., Gharghan, S. K., Mutlag, A. H., & Nordin, R. (2023) · Journal of Techniques · doi:10.51173/jt.v5i3.1420 · Cited by 27 · see citing works
Advances in Hass avocado irrigation scheduling under digital agriculture approach
Erazo-Mesa, E., Echeverri-Sánchez, A. F., & Ramírez‐Gil, J. G. (2022) · Revista Colombiana de Ciencias Hortícolas · doi:10.17584/rcch.2022v16i1.13456 · Cited by 13 · see citing works
Belattar, S., Abdoun, O., & Haimoudi, E. K. (2022) · Indonesian Journal of Electrical Engineering and Computer Science · doi:10.11591/ijeecs.v27.i1.pp156-162 · Cited by 8 · see citing works
Lawrence, I. D., Agnishwar, J., & Vijayakumar, R. (2024) · Practice, progress, and proficiency in sustainability · doi:10.4018/979-8-3693-1722-8.ch002 · Cited by 2 · see citing works
Emerging application use cases and future directions
Ghorpade, S. N., & Chougule, S. (2024) · Elsevier eBooks · doi:10.1016/b978-0-44-322202-3.00024-5 · Cited by 1 · see citing works
Next-Gen Farming: The Role of AI and ML in Sustainable Agricultural Innovation
Singh, D., & Singh, S. (2025) · International journal of engineering and science invention · doi:10.35629/6734-14061929
Guedes, L. F., Torres, G., & Pasqualini, D. A. (2026) · Springer proceedings in business and economics · doi:10.1007/978-3-032-23124-6_1
Aguilar-Serrano, C. E., Lumbreras-Pacheco, J. A., Estévez-Martínez, Y., & Huirache-Acuña, R. (2026) · Processes · doi:10.3390/pr14172747
The Role of Food Waste in Resource Recovery and Circular Economy: Advocacy and Implementation
Rezaeisabzevar, Y., & Golzary, A. (2026) · Springer eBooks · doi:10.1007/978-3-032-23993-8_12
- Authors
- Singh, G., Singh, A., & Kaur, G.
- Affiliations
- Delhi Technological University (IN)
- Gautam Buddha University (IN)
- Venue
- Artificial Intelligence to Solve Pervasive Internet of Things Issues
- Publisher
- Elsevier
- Published
- 2021
- Pages
- 317-330
- OpenAlex
- W3123251701
- Cited by
- 12
- References
- 32
- Citations by year
- 2026: 3 · 2025: 1 · 2024: 3 · 2023: 2 · 2022: 3
- FWCI
- 3.69
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Elsevier eBooks (publishedVersion)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Smart Agriculture and AI
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Physical Sciences › Environmental Science › Ecology › Remote Sensing in Agriculture
- Keywords
- artificial intelligence in agriculture, Internet of Things, smart agriculture, agricultural yields, resource efficiency, agricultural technology, precision agriculture
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