Yield Prediction

Yield Prediction refers to the process of estimating the amount of a crop that will be produced in a given agricultural area over a specified period. It involves analyzing various factors that can affect crop yields, such as weather conditions, soil quality, pest and disease occurrence, farming practices, and crop variety. Yield prediction aims to provide farmers, agronomists, and agricultural stakeholders with insights to make informed decisions regarding planting, resource allocation, and market strategies. Accurate yield predictions can enhance food security, optimize farming operations, and improve economic returns by allowing for better planning and management of agricultural resources. Typically, various statistical models, historical data, and sometimes remote sensing technologies are used to forecast yields in modern agricultural practices.
India Bets Big on Homegrown AI: A Gamble to Boost Innovation Over Regulation

India Bets Big on Homegrown AI: A Gamble to Boost Innovation Over Regulation

India is emerging as a leader in artificial intelligence innovation, focusing on fostering development rather than imposing strict regulations. The government encourages startups, researchers, and entrepreneurs to develop foundational AI models, hoping to overcome economic and technological barriers. An international panel is
March 1, 2025