ARCHIVES
Review Article
Agri-Vision
Harsh Vardhan Tripathi1
Jageshwar Kumar2
Nikhil Verma3
Saroj Singh4
1 2 3 4 Department of Computer Science & Engineering, Babu Banarasi Das Institute of Technology & Management, Uttar Pradesh, India.
Published Online: January-April 2026
Pages: 233-238
Cite this article
↗ https://www.doi.org/10.59256/indjcst.20260501036References
[1] Talaviya, T., Shah, D., Patel, N., Yagnik, H., & Shah, M. (2020). "Implementation of artificial intelligence in agriculture for optimisation
of irrigation and application of pesticides and herbicides." Artificial Intelligence in Agriculture, 4, 58-73.
[2] Paudel, D., Boogaard, H., de Wit, A., Janssen, S., Osinga, S., & Athanasiadis, I. N. (2021). "Machine learning for large-scale crop yield
forecasting." Agricultural Systems, 187, 103016.
[3] van Klompenburg, T., Kassahun, A., & Catal, C. (2020). "Crop yield prediction using machine learning: A systematic literature review."
Computers and Electronics in Agriculture, 177, 105709.
[4] Kumar, Y. J. N., Spandana, V., & Vaishnavi, V. S. (2020). "Agriculture crop selection using machine learning algorithms: A
comparative study." International Journal of Scientific & Technology Research, 9(5), 18-24.
[5] A. Sharma and K. Shivandu, "Fusing Edge Computing and Artificial Intelligence to Revolutionize Traditional Farming," IEEE
Transactions on Sustainable Computing, vol. 9, no. 2, 2024.
[6] T. Alahmad et al., "The Transformative Influence of IoT Sensors and Big Data Systems in Precision Crop Production," IEEE Access, vol.
11, 2023.
[7] H. Zare et al., "Crop Yield Prediction Using Multi-Model Ensemble with Data Assimilation Techniques," Agricultural Systems, vol. 210,
2024.
[8] S. Jeon et al., "Greenhouse Environment Control Using XGBoost Algorithm for Melon Yield Prediction," Sensors, vol. 24, no. 5, 2024.
[9] Rashid, M., Bari, B. S., Yusup, Y., Kamaruddin, M. A., & Khan, N. (2021). "A comprehensive review of crop yield prediction using
machine learning approaches with special emphasis on ensemble learning." IEEE Access, 9, 110753-110771.
[10] R. Kumar and V. Singh, "Transformer-Based Models for Crop Yield Prediction Using Sequential Sensor Data," Computers and
Electronics in Agriculture, vol. 216, 2025.
[11] Hassan, S. M., Maji, A. K., Jasiński, M., Leonowicz, Z., & Jasińska, E. (2021). "Identification of plant-leaf diseases using CNN and
transfer-learning approach." Electronics, 10(12), 1388.
[12] Chen, J., Chen, J., Zhang, D., Sun, Y., & Nanehkaran, Y. A. (2020). "Using deep transfer learning for image-based plant disease
identification." Computers and Electronics in Agriculture, 173, 105393.
[13] Mohanty, S. P., Hughes, D. P., & Salathé, M. (2016). "Using deep learning for image-based plant disease detection." Frontiers in Plant
Science, 7, 1419.
[14] Y. Zhang et al., "Implementation of TinyML on Resource-Constrained Microcontrollers for Real-Time Plant Disease Detection," IEEE
Internet of Things Journal, vol. 12, no. 4, 2025.
[15] Liu, J., & Wang, X. (2021). "Plant disease detection using deep learning and mobile devices." IEEE Access, 9, 13245-13255.
[16] Karthik, R., Hariharan, M., Anand, S., Mathikshara, P., Johnson, A., & Menaka, R. (2020). "Attention embedded residual CNN for disease
detection in tomato leaves." Applied Soft Computing, 86, 105933.
[17] Abbas, A., Jain, S., Gour, M., & Vankudothu, S. (2021). "Tomato plant disease detection using transfer learning with C-GAN synthetic
images." Computers and Electronics in Agriculture, 187, 106279.
[18] Soni, P., & Kumara, A. (2024). "Crop Price Prediction Using Machine Learning and Time Series Analysis." International Journal
of Computer Applications, 183(45), 12-18.
[19] Alhassan, I., Zhang, X., Shen, H., & Xu, H. (2020). "Power of Deep Learning for Determination of Soil Moisture Content in
Agriculture." Computational Intelligence and Neuroscience, 2020, 1-13.
[20] T. H. Aldhyani et al., "Soil Moisture Forecasting Using LSTM for Efficient Irrigation Scheduling," Water, vol. 15, no. 3, 2023.
[21] Elavarasan, D., & Vincent, D. R. (2020). "Crop yield prediction and efficient market price forecasting using LSTM and GRU neural
networks." Journal of Ambient Intelligence and Humanized Computing, 1-14.
[22] Reddy, D. J., & Kumar, M. R. (2021). "Crop Yield and Price Prediction Using Random Forest and LSTM." International Journal of
Electrical and Computer Engineering, 11(6), 567-575.
[23] Elijah, O., Rahman, T. A., Orikumhi, I., Leow, C. Y., & Hindia, M. N. (2018). "An overview of Internet of Things (IoT) and data
analytics in agriculture: Benefits and challenges." IEEE Internet of Things Journal, 5(5), 3758-3773.
[24] Friha, O., Ferrag, M. A., Shu, L., Maglaras, L., & Choo, K. K. R. (2021). "Internet of Things for the future of smart agriculture: A
comprehensive survey of emerging technologies." IEEE/CAA Journal of Automatica Sinica, 8(4), 718-752.
[25] Rehman, A., Saba, T., Kashif, M., Fati, S. M., Bahaj, S. A., & Chaudhry, H. (2022). "A revisit of Internet of Things technologies for smart
agriculture applications." Sustainable Cities and Society, 79, 103666.
[26] L. Abdo-Peralta et al., "Edge-Computing Solution for Precision Irrigation in Strawberry Cultivation," Smart Agricultural Technology, vol.
7, 2024.[27] Udutalapally, V., Mohanty, S. P., Pallam Setty, S., & Kougianos, E. (2020). "Smart healthcare for farms: A smart agriculture IoT
architecture with edge-AI." IEEE Consumer Electronics Magazine, 10(5), 32-41.
[28] A. Khattab and A. Abdelgawad, "Scalable IoT Architecture for Precision Farming Using Edge-Fog-Cloud Integration," Internet of Things,
vol. 22, 2023.
[29] P. Awasthi, "Comprehensive IoT-Based Smart Farming System Integrating Soil Nutrient Monitoring with Automated Irrigation,"
Journal of Agricultural Informatics, vol. 16, no. 1, 2025.
[30] Gupta, M., Abdelsalam, M., Khorsandroo, S., & Mittal, S. (2020). "Security and privacy in smart farming: Challenges and
opportunities." IEEE Access, 8, 34564-34584.
of irrigation and application of pesticides and herbicides." Artificial Intelligence in Agriculture, 4, 58-73.
[2] Paudel, D., Boogaard, H., de Wit, A., Janssen, S., Osinga, S., & Athanasiadis, I. N. (2021). "Machine learning for large-scale crop yield
forecasting." Agricultural Systems, 187, 103016.
[3] van Klompenburg, T., Kassahun, A., & Catal, C. (2020). "Crop yield prediction using machine learning: A systematic literature review."
Computers and Electronics in Agriculture, 177, 105709.
[4] Kumar, Y. J. N., Spandana, V., & Vaishnavi, V. S. (2020). "Agriculture crop selection using machine learning algorithms: A
comparative study." International Journal of Scientific & Technology Research, 9(5), 18-24.
[5] A. Sharma and K. Shivandu, "Fusing Edge Computing and Artificial Intelligence to Revolutionize Traditional Farming," IEEE
Transactions on Sustainable Computing, vol. 9, no. 2, 2024.
[6] T. Alahmad et al., "The Transformative Influence of IoT Sensors and Big Data Systems in Precision Crop Production," IEEE Access, vol.
11, 2023.
[7] H. Zare et al., "Crop Yield Prediction Using Multi-Model Ensemble with Data Assimilation Techniques," Agricultural Systems, vol. 210,
2024.
[8] S. Jeon et al., "Greenhouse Environment Control Using XGBoost Algorithm for Melon Yield Prediction," Sensors, vol. 24, no. 5, 2024.
[9] Rashid, M., Bari, B. S., Yusup, Y., Kamaruddin, M. A., & Khan, N. (2021). "A comprehensive review of crop yield prediction using
machine learning approaches with special emphasis on ensemble learning." IEEE Access, 9, 110753-110771.
[10] R. Kumar and V. Singh, "Transformer-Based Models for Crop Yield Prediction Using Sequential Sensor Data," Computers and
Electronics in Agriculture, vol. 216, 2025.
[11] Hassan, S. M., Maji, A. K., Jasiński, M., Leonowicz, Z., & Jasińska, E. (2021). "Identification of plant-leaf diseases using CNN and
transfer-learning approach." Electronics, 10(12), 1388.
[12] Chen, J., Chen, J., Zhang, D., Sun, Y., & Nanehkaran, Y. A. (2020). "Using deep transfer learning for image-based plant disease
identification." Computers and Electronics in Agriculture, 173, 105393.
[13] Mohanty, S. P., Hughes, D. P., & Salathé, M. (2016). "Using deep learning for image-based plant disease detection." Frontiers in Plant
Science, 7, 1419.
[14] Y. Zhang et al., "Implementation of TinyML on Resource-Constrained Microcontrollers for Real-Time Plant Disease Detection," IEEE
Internet of Things Journal, vol. 12, no. 4, 2025.
[15] Liu, J., & Wang, X. (2021). "Plant disease detection using deep learning and mobile devices." IEEE Access, 9, 13245-13255.
[16] Karthik, R., Hariharan, M., Anand, S., Mathikshara, P., Johnson, A., & Menaka, R. (2020). "Attention embedded residual CNN for disease
detection in tomato leaves." Applied Soft Computing, 86, 105933.
[17] Abbas, A., Jain, S., Gour, M., & Vankudothu, S. (2021). "Tomato plant disease detection using transfer learning with C-GAN synthetic
images." Computers and Electronics in Agriculture, 187, 106279.
[18] Soni, P., & Kumara, A. (2024). "Crop Price Prediction Using Machine Learning and Time Series Analysis." International Journal
of Computer Applications, 183(45), 12-18.
[19] Alhassan, I., Zhang, X., Shen, H., & Xu, H. (2020). "Power of Deep Learning for Determination of Soil Moisture Content in
Agriculture." Computational Intelligence and Neuroscience, 2020, 1-13.
[20] T. H. Aldhyani et al., "Soil Moisture Forecasting Using LSTM for Efficient Irrigation Scheduling," Water, vol. 15, no. 3, 2023.
[21] Elavarasan, D., & Vincent, D. R. (2020). "Crop yield prediction and efficient market price forecasting using LSTM and GRU neural
networks." Journal of Ambient Intelligence and Humanized Computing, 1-14.
[22] Reddy, D. J., & Kumar, M. R. (2021). "Crop Yield and Price Prediction Using Random Forest and LSTM." International Journal of
Electrical and Computer Engineering, 11(6), 567-575.
[23] Elijah, O., Rahman, T. A., Orikumhi, I., Leow, C. Y., & Hindia, M. N. (2018). "An overview of Internet of Things (IoT) and data
analytics in agriculture: Benefits and challenges." IEEE Internet of Things Journal, 5(5), 3758-3773.
[24] Friha, O., Ferrag, M. A., Shu, L., Maglaras, L., & Choo, K. K. R. (2021). "Internet of Things for the future of smart agriculture: A
comprehensive survey of emerging technologies." IEEE/CAA Journal of Automatica Sinica, 8(4), 718-752.
[25] Rehman, A., Saba, T., Kashif, M., Fati, S. M., Bahaj, S. A., & Chaudhry, H. (2022). "A revisit of Internet of Things technologies for smart
agriculture applications." Sustainable Cities and Society, 79, 103666.
[26] L. Abdo-Peralta et al., "Edge-Computing Solution for Precision Irrigation in Strawberry Cultivation," Smart Agricultural Technology, vol.
7, 2024.[27] Udutalapally, V., Mohanty, S. P., Pallam Setty, S., & Kougianos, E. (2020). "Smart healthcare for farms: A smart agriculture IoT
architecture with edge-AI." IEEE Consumer Electronics Magazine, 10(5), 32-41.
[28] A. Khattab and A. Abdelgawad, "Scalable IoT Architecture for Precision Farming Using Edge-Fog-Cloud Integration," Internet of Things,
vol. 22, 2023.
[29] P. Awasthi, "Comprehensive IoT-Based Smart Farming System Integrating Soil Nutrient Monitoring with Automated Irrigation,"
Journal of Agricultural Informatics, vol. 16, no. 1, 2025.
[30] Gupta, M., Abdelsalam, M., Khorsandroo, S., & Mittal, S. (2020). "Security and privacy in smart farming: Challenges and
opportunities." IEEE Access, 8, 34564-34584.
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