Multimodal data fusion (MMDF) is the process of combining disparate data streams (of
different dimensionality, resolution, type, etc.) to generate information in a form that is more …

In this study a new method for predicting soybean yield over large spatial scales,
overcoming the difficulties of scalability, is proposed. The method is based on the so-called …

BACKGROUND We evaluated different machine learning (ML) models for predicting
soybean productivity up to 1 month in advance for the Matopiba agricultural frontier (States …

In science, estimation is the calculation of a current value, while forecasting (or prediction) is
the calculation of a future value. Both estimation and forecasting are based on covariates …

The primary objective of soybean-breeding programs is to develop cultivars that offer both
high grain yield and a maturity cycle tailored to the specific soil and climatic conditions of …

A previsão dos preços dos alimentos desempenha um papel essencial na gestão da
segurança alimentar, uma vez que permite aos governos e às empresas planejarem a …

The objectives of this study were to evaluate the effect of the chemical composition of
soybean seeds and the efficiency of seed mineral supplementation on physiological quality …

The research is devoted to the development of new, self-adapting irrigation management
systems allowing the control decisions reliability increasing based on the consideration of …

Integrated systems between crops and livestock are of great interest for the intensification of
sustainable agriculture, but it has not yet been possible to accurately assess all its benefits …

Crop yield prediction is essential for sustainable production planning. In agroecological
systems, the traditional linear or non-linear regression models used for this purpose present …