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Open access Sep 2026

Comparative evaluation of classical machine learning and deep learning models for early weed detection in precision agriculture

Unless treated and controlled early, weeds considerably impede the growth of crops as they compete over vital factors (resources) like nutrients, water, and light. To overcome this problem, an automated weed species early detection and classification system using machine learning-based image analysis is suggested. The...

Raj Kumar, P. K. Singh, Rohit Kumar Tiwari · 0 citations
Open access Aug 2026

Prediction of agricultural production based on multivariate data with feature aware machine learning models

In the context of climate change, yield prediction in agriculture becomes extremely important for achieving food security, precision agriculture, and sustainable resource management but the productivity of crop production involves a nonlinear relationship between environmental, climatic, and soil variables and cannot b...

Raj Kumar, P. K. Singh, Rohit Kumar Tiwari · 0 citations

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