A dataset for pasture parameter estimation based on satellite remote sensing and weather variables.

ABSTRACT: Estimating pasture parameters is essential for decision-making in the management of livestock and agriculture. Despite that, the time-consuming acquisition of outdoor forage samples and the high cost of laboratory analysis make it infeasible to predict parameters of quality and quantity forage recurrently and with great accuracy. Previous work has shown that multispectral and weather data have correlation with forage parameters, enabling the design of supervised machine learning models to predict forage conditions. Nevertheless, datasets with pasture yield and nutritional parameters, remote sensing and weather information are scarce and rarely available, limiting the design of prediction models. This paper presents a dataset with more than 300 samples of pasture laboratory analyses collect

SUBMITTER: Defalque G 

PROVIDER: S-EPMC10904182 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature