International Journal For Multidisciplinary Research

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AI- and IoT-Based Smart and Adaptive Agriculture System for Monitoring Crop Reduction and Improving Farm Productivity in Sawai Madhopur, Rajasthan

Author(s) Mr. Vijay Kumar Meena
Country India
Abstract This paper develops a district-focused framework for an AI- and IoT-based smart and adaptive agriculture system for Sawai Madhopur, Rajasthan. The purpose is to show how low-cost sensing, satellite observation, farmer-reported information and machine-learning based decision support can be combined to monitor crop reduction, reduce production risk and improve farm productivity. The paper uses secondary data from government and institutional sources such as the Krishi Vigyan Kendra district profile, Agricultural Statistics of Rajasthan, the District Irrigation Plan for Sawai Madhopur, ICAR-CRIDA’s district agriculture contingency plan, and current policy documents on the Digital Agriculture Mission. Sawai Madhopur is suitable for such a study because its farming economy includes both rainfed and irrigated systems, major rabi crops such as mustard and wheat, kharif crops such as bajra, black gram and sesame, and a growing horticulture economy around guava. The district also faces practical risks: variable rainfall, drought spells, waterlogging in intense rainfall, groundwater stress, pest and disease outbreaks, and post-harvest losses. The proposed framework has five layers: field sensing, connectivity, data integration, AI analytics, and farmer advisory. It recommends crop-wise pilots for mustard, wheat, bajra, pulses, sesame and guava orchards. The conclusion is that AI and IoT should not be treated as expensive technology for large farms only; if designed as a shared, local-language, extension-supported system, it can help small and medium farmers make faster decisions on irrigation, drainage, pest control, sowing windows and harvest management.
Keywords smart agriculture, AI, IoT, crop reduction, precision irrigation, Sawai Madhopur, Rajasthan, guava, mustard, adaptive farming
Published In Volume 8, Issue 3, May-June 2026
Published On 2026-05-29
DOI https://doi.org/10.36948/ijfmr.2026.v08i03.79654
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