1 citations · 1 across the 3 of their papers we have counts for
4 papers
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…
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…
LLM-CSEC: Empirical Evaluation of Security in C/C++ Code Generated by Large Language Models
Muhammad Usman Shahid, Chuadhry Mujeeb Ahmed, Rajiv Ranjan
The security of code generated by large language models (LLMs) is a significant concern, as studies indicate that such code often contains vulnerabilities and lacks essential defen…
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)…