首页|Investigators at Sao Paulo State University (UNESP) Report Findings in Machine L earning (A Machine Learning Models Approach and Remote Sensing To Forecast Yield In Corn With Based Cumulative Growth Degree Days)
Investigators at Sao Paulo State University (UNESP) Report Findings in Machine L earning (A Machine Learning Models Approach and Remote Sensing To Forecast Yield In Corn With Based Cumulative Growth Degree Days)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingfrom Jaboticabal, Brazil, by NewsRx journalists, research stated, “Pre-harvest yield forecasting is importantfor th e sustainability of agricultural companies, enabling more sustainable economic d ecision-making. Inthe present study, we propose an approach based on the sum of degree days of the corn crop related to thedates of satellite images to organi ze the data of two crops generating predictive models with the k-nearestneighbo rs (KNN) and extreme gradient boosting (XGBoost).”
JaboticabalBrazilSouth AmericaCybo rgsEmerging TechnologiesMachine LearningRemote SensingSao Paulo State Un iversity (UNESP)
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