Farmers and agricultural workers would manually inspect crops for signs of pests or use traps to monitor pest populations. The advent of deep learning algorithms such as vision transformers and FastAI ResNet has brought about a significant transformation in pest detection practic...
Open access
Research Article10.9734/jsrr/2025/v31i12797
Accurate spatial yield estimation is crucial for optimizing agricultural management and ensuring food security. This study integrates Sentinel-1A SAR remote sensing data and the DSSAT crop simulation model to predict Bengal gram (chickpea) yield in Nagaur district, Rajasthan, Ind...
Open access
Research Article10.9734/jsrr/2025/v31i12788
Mrunalini Kancheti, Sellaperumal Pazhanivelan, Narendra Kumar, Vellingiri Geethalakshmi, Ragunath Kaliaperumal, S. P. Ramanathan, N. Sritharan, Yogesh Kumar & Girish Prasad Dixit·International Journal of Plant & Soil Science·2023
In modern crop production, essential factors that contribute to narrowing yield gaps and minimizing production costs include making informed decisions about the selection of plant varieties, determining optimal sowing dates, determining appropriate plant populations, selecting su...
Open access
Research Article10.9734/ijpss/2023/v35i183471
Crop cover mapping is an essential tool for controlling and enhancing agricultural productivity. By determining the spatial distribution of different crop types, solidified judgements regarding crop planning, crop management, and risk management can be made. Crop cover classifica...
Open access
Research Article10.9734/ijecc/2023/v13i102688