The advancement in science and technology has led to a substantial amount of data from
various fields of agriculture to be incremented in the public domain. Hence a desideratum …

The impact of climate change in India, most of the agricultural crops are being badly affected
in terms of their performance over a period of the last two decades. Predicting the crop yield …

Agriculture is essential for the existence of all human beings. It is not only a need, but it also
contributes to national growth. Agriculture is the only industry that benefits both itself and the …

Although agriculture remains the dominant economic activity in many countries around the
world, in recent years this sector has continued to be negatively impacted by climate change …

Objective: This paper has been prepared as an effort to reassess the research studies on the
relevance of machine learning techniques in the domain of agricultural crop production …

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 …

Global agricultural production, in particular, is of increasing concern to the major
international organizations in charge of nutrition. The rising demand for food globally due to …

The use of ML in agronomy has been increasing exponentially since the start of the century,
including data-driven predictions of crop yields from farm-level information on soil, climate …

Agriculture is one of the most crucial field contributing to the development of any nation. It
not only affects the economy of nation but also has impact on the world food grain statistics …

Background Price forecasting of perishable crop like vegetables has importance
implications to the farmers, traders as well as consumers. Timely and accurate forecast of …