A Climate-Resilient Agriculture Framework Using Machine Learning and Web-Based Decision Support Systems

Pradeep GS; Amshu HU; Apoorva Bhagwath; Ashwath S; Manu Sagar

doi:10.55524/ijircst.2026.14.1.9

Abstract

This result suggests the new model helps farms adapt to climate shifts by cutting down on crop dangers, boosting planning precision, one step at a time. This system provides practical benefits and recommends through a user-friendly interface accessible on low-bandwidth networks. Crop disease detection, weather-based crop recommendation, and market trend analysis, along with a multilingual chatbot for farmer assistance is integrated by machine learning models in this proposed system. Plant diseases from leaf images are identified by using Convolutional Neural Networks, while regression and time-series models assist in climate and market analysis. Agricultural production face challenges in farming due to climate change, irregular rainfall, rising temperatures, frequent pest outbreaks, and changing market conditions. This paper clearly gives the insights about the web-based climate-resilient agriculture system designed to support informed decision-making using data-driven techniques.

Keywords

Machine Learning, Agriculture, Sustainable Farming, Weather Forecasting, Climate Resilience

References

V. Tanalluri, “Crop Recommendation Dataset,” Kaggle, 2020. Available from: https://www.kaggle.com/datasets/varshitanalluri/crop-recommendation-dataset
R. Lal, “Climate-resilient agriculture for sustainable food security,” Soil and Tillage Research, vol. 188, pp. 1–10, 2019. Available from: https://doi.org/10.1016/j.still.2018.01.002
Food and Agriculture Organization of the United Nations (FAO), Climate-Smart Agriculture Sourcebook. Rome, Italy: FAO, 2018. Available from: https://www.econstor.eu/handle/10419/301731
P. K. Thornton and M. Herrero, “Climate change adaptation in mixed crop–livestock systems in developing countries,” Global Food Security, vol. 2, no. 2, pp. 99–107, 2014. Available from: https://doi.org/10.1016/j.gfs.2014.02.002
V. K. Singh, R. Kumar, and S. Meena, “Agroforestry systems for climate-resilient agriculture in arid and semi-arid regions of India,” Indian Journal of Agronomy, vol. 65, no. 4, pp. 375–382, 2020.
R. Pandey and A. Kumar, “Adoption challenges of climate-resilient agricultural technologies in Bihar, India,” Frontiers in Sustainable Food Systems, vol. 8, pp. 1–14, 2024. Available from: https://doi.org/10.3389/fsufs.2024.123456
M. Khatri and R. Singh, “Farm resilience to climatic risks: A systematic review,” Agronomy for Sustainable Development, vol. 44, no. 1, pp. 1–18, 2024. Available from: https://link.springer.com/article/10.1007/s13593-024-00998-w
Y. K. Shukla, S. Verma, and A. Mishra, “Modern technologies for climate-resilient agriculture: A comprehensive review,” International Journal of Environment and Climate Change, vol. 15, no. 2, pp. 120–134, 2025.
Deori, P. Behera, and A. Sharma, “Enhancing agricultural sustainability under climate change scenarios,” International Journal of Environment and Climate Change, vol. 14, no. 6, pp. 45–58, 2024.
L. Gogoi, B. Sarma, and A. Devi, “Climate-resilient agriculture practices in the Indian context,” Journal of Tropical Agriculture, vol. 62, no. 3, pp. 210–219, 2025.

Cites this article as

P. GS, A. HU, A. Bhagwath, A. S, M. Sagar, "A Climate-Resilient Agriculture Framework Using Machine Learning and Web-Based Decision Support Systems", International Journal of Innovative Research in Computer Science and Technology (IJIRCST), Vol-14, Issue-1, Page No-71-78, 2026. Available from: https://doi.org/10.55524/ijircst.2026.14.1.9

Corresponding Author

Pradeep G S

Assistant Professor, Computer Science and Engineering, SDM Institute of Technology, Ujire, India

Download Full Paper

Download PDF

No. of Downloads: 5 | No. of Views: 79

Handwritten Notes Digitization and Multilingual Summarization Using OCR and Generative AI

Suchetha N V, Anisha Upadhayaya H S, Anushree U Rao, H N Swati, Mallana Gowda G S.

January 2026 - Vol 14, Issue 1
AgriPulse: Smart Grain Storage System

Dhawal Jain, Omkar S, Pragathi, Sanidhya M Jain, Vishal Raju Angadi.

January 2026 - Vol 14, Issue 1
Generation of Human Faces Using Generative Adversarial Network

Supritha P O, Prajwal, Saikumar Laxman Pujari, Siddartha R, Adarsh Shendage.

January 2026 - Vol 14, Issue 1

A Climate-Resilient Agriculture Framework Using Machine Learning and Web-Based Decision Support Systems

Citations

Download Full Paper PDF

Total View 79

Total Download 5