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Agri Sense AI: An App-Based Early Warning System for Weather, Pest and Soil Risk Prediction Using Machine Learning
Authors
1 2 Department of Artificial Intelligence and Machine Learning, Sasi Institute of Technology and Engineering Tadepalligudem, Andhra Pradesh, India.
Article Information
- Organised By
- Madanapalle Institute of Technology & Science (MITS)
- Conference Date
- 9 & 10 March 2026
- Pages
- 23-27
- Article Type
- Research Article
- Check for updates
-
References
1. FAO, “FAOSTAT – Food and Agriculture Data,” Food and Agriculture Organization, 2023.
2. IPCC, “Climate Change and Agriculture,” Intergovernmental Panel on Climate Change, 2022.
3. Government of India, “Agricultural Statistics at a Glance,” Ministry of Agriculture, India, 2022.
4. World Bank, “Climate-Smart Agriculture in South Asia,” World Bank Report, 2021.
5. Wolfert et al., “Big Data in Smart Farming – A Review,” Agricultural Systems, 2017.
6. FAO, “Digital Technologies in Agriculture,” FAO Report, 2021.
7. Patel et al., “Challenges Faced by Small Farmers,” IEEE Access, 2020.
8. Smith et al., “Machine Learning in Precision Agriculture: A Review,” IEEE Access, 2023.
9. Van Klompenburg et al., “Crop Yield Prediction Using Machine Learning,” Computers and Electronics in Agriculture, 2020.
10. Zhang et al., “Precision Agriculture Decision Support Systems,” IEEE Transactions on Industrial Informatics, 2022.
11. Li et al., “Data Preprocessing Techniques for Agricultural ML,” IEEE Access, 2021.
12. Jawad et al., “IoT-Based Smart Agriculture Systems: A Review,” IEEE Access, 2021.
13. Ray, “Challenges of IoT Deployment in Rural Areas,” IEEE Communications Magazine, 2020.
14. Miorandi et al., “IoT in Smart Agriculture,” IEEE Internet of Things Journal, 2018.
15. Patel et al., “Mobile-Based Agricultural Advisory Systems,” IEEE Access, 2022.
16. NASA, “POWER Climate Data for Agroclimatology,” NASA POWER Project.
17. Breiman, “Random Forests,” Machine Learning Journal, 2001.
18. FAO, “Digital Agriculture Platforms for Farmers,” FAO, 2021.
19. World Economic Forum, “Digital Transformation of Agriculture,” WEF Report, 2020.
20. Klerkx et al., “Smart Farming and Digital Innovation,” Agricultural Systems, 2019.
21. Hochreiter and Schmidhuber, “Long Short-Term Memory,” Neural Computation, 1997.
22. Kumar et al., “Weather Forecasting Using LSTM Networks,” IEEE Journals, 2021.
23. Chen and Guestrin, “XGBoost: A Scalable Tree Boosting System,” KDD, 2016.
24. Mohanty et al., “Deep Learning for Plant Disease Detection,” IEEE Access, 2019.
25. Madasamy et al., “Microclimate-Based Pest Management,” Agriculture (MDPI), 2020.
26. FAO, “Soil Health and Fertility Management,” FAO Technical Report.
2. IPCC, “Climate Change and Agriculture,” Intergovernmental Panel on Climate Change, 2022.
3. Government of India, “Agricultural Statistics at a Glance,” Ministry of Agriculture, India, 2022.
4. World Bank, “Climate-Smart Agriculture in South Asia,” World Bank Report, 2021.
5. Wolfert et al., “Big Data in Smart Farming – A Review,” Agricultural Systems, 2017.
6. FAO, “Digital Technologies in Agriculture,” FAO Report, 2021.
7. Patel et al., “Challenges Faced by Small Farmers,” IEEE Access, 2020.
8. Smith et al., “Machine Learning in Precision Agriculture: A Review,” IEEE Access, 2023.
9. Van Klompenburg et al., “Crop Yield Prediction Using Machine Learning,” Computers and Electronics in Agriculture, 2020.
10. Zhang et al., “Precision Agriculture Decision Support Systems,” IEEE Transactions on Industrial Informatics, 2022.
11. Li et al., “Data Preprocessing Techniques for Agricultural ML,” IEEE Access, 2021.
12. Jawad et al., “IoT-Based Smart Agriculture Systems: A Review,” IEEE Access, 2021.
13. Ray, “Challenges of IoT Deployment in Rural Areas,” IEEE Communications Magazine, 2020.
14. Miorandi et al., “IoT in Smart Agriculture,” IEEE Internet of Things Journal, 2018.
15. Patel et al., “Mobile-Based Agricultural Advisory Systems,” IEEE Access, 2022.
16. NASA, “POWER Climate Data for Agroclimatology,” NASA POWER Project.
17. Breiman, “Random Forests,” Machine Learning Journal, 2001.
18. FAO, “Digital Agriculture Platforms for Farmers,” FAO, 2021.
19. World Economic Forum, “Digital Transformation of Agriculture,” WEF Report, 2020.
20. Klerkx et al., “Smart Farming and Digital Innovation,” Agricultural Systems, 2019.
21. Hochreiter and Schmidhuber, “Long Short-Term Memory,” Neural Computation, 1997.
22. Kumar et al., “Weather Forecasting Using LSTM Networks,” IEEE Journals, 2021.
23. Chen and Guestrin, “XGBoost: A Scalable Tree Boosting System,” KDD, 2016.
24. Mohanty et al., “Deep Learning for Plant Disease Detection,” IEEE Access, 2019.
25. Madasamy et al., “Microclimate-Based Pest Management,” Agriculture (MDPI), 2020.
26. FAO, “Soil Health and Fertility Management,” FAO Technical Report.
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