Farmers have access to many data‐intensive technologies to help them monitor and control
weeds and pests. Data collection, data modelling and analysis, and data sharing have …

Agriculture is the primary source of livelihood which forms the backbone of our country.
Current challenges of water shortages, uncontrolled cost due to demand-supply, and …

This paper provides a review of research on the application of data mining techniques for
decision making in agriculture. The paper reports the application of a number of data mining …

Food production in India is largely dependent on cereal crops including rice, wheat and
various pulses. The sustainability and productivity of rice growing areas is dependent on …

Predicting crop yield response to management and environmental variables is a crucial step
towards nutrient management optimization. With the increase in the amount of data …

Accurate crop yield prediction for more precise forecasting of price volatility in crop markets,
better agricultural planning and enhanced national food security is one of the important …

This paper aims at collecting and analysing temperature, rainfall, soil, seed, crop production,
humidity and wind speed data (in a few regions), which will help the farmers improve the …

California's almond growers face challenges with nitrogen management as new legislatively
mandated nitrogen management strategies for almond have been implemented. These …

Accurate pre-harvest yield forecasting of mango is essential to the industry as it supports
better decision making around harvesting logistics and forward selling, thus optimizing …

Maize is a widely grown crop in China, and the relationships between agroclimatic
parameters and maize yield are complicated, hence, accurate and timely yield prediction is …