Vol. 12, Issue 10 (2023)

Author(s):
Sunil Kumar Upadhyay, PS Kulhare, Sanjay Singh Jatav, Rishikesh Tiwari, Sangya Singh, Vishakha Rai and Devid Sahu

Abstract:
Chickpea is a critical crop known for its high protein, fiber, and mineral content, providing essential nutrition to millions worldwide. To enhance chickpea agriculture and address food security challenges, researchers are increasingly utilizing remote sensing technology. The research focuses on understanding the relationship between nutrient availability, spectral reflectance, and crop parameters to develop effective nutrient management strategies. Remote sensing, including satellite imagery and aerial surveys, along with geospatial tools, play an important role in achieving these goals. Land cover changes, specifically the expansion of chickpea areas over the last decade, are analyzed to gain valuable insights into crop dynamics and their impact on agricultural landscapes. Hyperspectral data analysis is highlighted as a valuable tool for soil property determination, outperforming traditional methods. This enables precision nutrient management tailored to the crop's specific needs and reduces yield losses through early detection of nutrient stress. The findings have practical implications for farmers, as data-driven precision nutrient management optimizes fertilizer application based on specific nutrient requirements in different field areas. This improves crop health while minimizing environmental impacts. Agronomists and policymakers benefit from the (IRS) with (GIS), enabling accurate soil mapping and promoting sustainable land management practices. Informed decisions can be made to support environmentally friendly agricultural practices and enhance overall food security.