Agriculture is considered one of the most important sectors that play a strategic role in
ensuring food security. However, with the increasing world's population, agri-food demands …

Abstract Machine learning is an important decision support tool for crop yield prediction,
including supporting decisions on what crops to grow and what to do during the growing …

Climate change is posing new challenges to crop-related concerns, including food
insecurity, supply stability, and economic planning. Accurately predicting crop yields is …

Abstract Machine learning (ML) and its branch, deep learning (DL), is rapidly evolving and
gaining popularity as it outperforms other, more traditional methods in different areas of …

Recently, data-driven approaches have become the dominant solution for prediction
problems in agricultural industries. Several deep learning models have been applied to crop …

Accurate and comprehensive modelling aimed at investigating the impact of climate change
on rainfed crop yields is of great importance due to the interconnected issues of water …

Yield prediction is a major determinant of many management decisions for crop production.
Farmers and their advisors want user-friendly decision support tools for predicting yield …

Since there has been concern about food security, accurate prediction of wheat yield prior to
harvest is a key component. Random Forest (RF) has been used in many classification and …

In order to guarantee the rice yield more effectively, the prediction of rice yield should be
taken into account. Because the rice yield every year can be seen as a sequence of time …

Chat bots for customer service that are powered by artificial intelligence (AI) are
revolutionizing customer assistance and engagement. As intelligent virtual assistants, these …