首页|Sao Paulo State University (UNESP) Reports Findings in Machine Learning (Using s entinel-2 satellite images and machine learning algorithms to predict tropical p asture forage mass, crude protein, and fiber content)

Sao Paulo State University (UNESP) Reports Findings in Machine Learning (Using s entinel-2 satellite images and machine learning algorithms to predict tropical p asture forage mass, crude protein, and fiber content)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject o f a report. According to news reportingoriginating in Jaboticabal, Brazil, by N ewsRx journalists, research stated, “Grasslands cover approximately24% of the Earth’s surface and are the main feed source for cattle and other ruminan ts. Sustainable andefficient grazing systems require regular monitoring of the quantity and nutritive value of pastures.”Financial support for this research came from Fundacao de Amparo a Pesquisa do E stado de SaoPaulo.

JaboticabalBrazilSouth AmericaAlgo rithmsCyborgsEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.25)