CORTEXA
← Browse

Shashank Tamaskar

2 papers indexed

arxivcs.CV2026-07-21

STS-NET: Spatio-Temporal Stress Network for Self-Supervised Crop Stress Detection using Satellite Image Time Series

Pradeep Dalal, Rajiv Ranjan, Sushil Ghildiyal, Shashank Tamaskar, Neeraj Goel

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 dataset is a challenging task. To address this challenge, we introduce a novel spatial-temporal stress ne…

View free PDFSource page
arxivcs.CV2026-07-21

CGMap: A Geospatially Aware Deep Learning Framework for Crop Gap Mapping Using UAV

Karan Sharma, Rajiv Ranjan, Dinesh Kumar, Shashank Tamaskar

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 potential. This paper highlights a deep learning based pipeline which uses object detection methods and…

View free PDFSource page