The perfect knowledge of yield before harvest has been a wish puzzling human being since
the beginning of agriculture because seasonal forecast of crop yield plays a critical role in …

Forecasting crop yields, or providing an expectation of ex-ante harvest amounts, is highly
relevant to the whole agricultural production chain. Farmers can adapt their management …

The art of predicting crop production is done before the crop is harvested. Crop output
forecasts will help people make timely judgments concerning food policy, prices in markets …

Crop yield forecast models for barley, canola and spring wheat grown on the Canadian
Prairies were developed using vegetation indices derived from satellite data and machine …

Knowing the expected crop yield in the current growing season provides valuable
information for farmers, policy makers, and food processing plants. One of the main benefits …

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 …

Accurate crop yield forecasting is essential in the food industry's decision-making process,
where vegetation condition index (VCI) and thermal condition index (TCI) coupled with …

Forecasting the maize yield of China's Jilin province from 1962 to 2004, with climate
conditions and fertilizer as predictors, was investigated using multiple linear regression …

Our recent study using historic data of wheat yield and associated plantation area, rainfall,
and temperature has shown that incorporating statistics and artificial neural networks can …

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 …