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 …

Investment in technological research is imperative to stimulate the development of
sustainable solutions for the agricultural sector. Advances in Internet of Things, sensors and …

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 …

An early and reliable estimation of crop yield is essential in quantitative and financial
evaluation at the field level for determining strategic plans in agricultural commodities for …

Crop yield prediction is extremely challenging due to its dependence on multiple factors
such as crop genotype, environmental factors, management practices, and their interactions …

Crop yield is a highly complex trait determined by multiple factors such as genotype,
environment, and their interactions. Accurate yield prediction requires fundamental …

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 …

Precision agriculture represents the new age of conventional agriculture. This is made
possible by the advancement of various modern technologies such as the internet of things …

Crop yield prediction is crucial for global food security yet notoriously challenging due to
multitudinous factors that jointly determine the yield, including genotype, environment …

Abstract The soil, Soul of Infinite Life, is the entity responsible for sustaining life on earth. In
spite of significant advances in the service sector, agriculture remains the major provider of …