P. K. Singh

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...

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, c...