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cs.CV2026
STS-NET: Spatio-Temporal Stress Network for Self-Supervised Crop Stress Detection using Satellite Image Time Series
Pradeep Dalal, Rajiv Ranjan, Sushil Ghildiyal +2
Early and accurate detection of crop stress is essential to improve agricultural productivity and ensure global food security. However, collecting a large labeled crop stress datas…
cs.CV2026
CGMap: A Geospatially Aware Deep Learning Framework for Crop Gap Mapping Using UAV
Karan Sharma, Rajiv Ranjan, Dinesh Kumar +1
In India, crop germination is primarily monitored by visual inspection and manual counting, which are prone to errors, despite their crucial role in determining eventual yield pote…
cs.CV2024
Evaluating Sugarcane Yield Variability with UAV-Derived Cane Height under Different Water and Nitrogen Conditions
Rajiv Ranjan, Tejasavi Birdh, Nandan Mandal +2
This study investigates the relationship between sugarcane yield and cane height derived under different water and nitrogen conditions from pre-harvest Digital Surface Model (DSM)…