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Predicting the sugarcane yield in real-time by harvester engine parameters and machine learning approaches

Leonardo Felipe Maldaner, Lucas de Paula Corrêdo, Tatiana Fernanda Canata, José Paulo Molin

2021Computers and Electronics in Agriculture59 citationsDOI

Topics & Concepts

Artificial neural networkMean absolute percentage errorMean squared errorCombine harvesterYield (engineering)Predictive modellingRegression analysisEngineeringStatisticsMathematicsMachine learningComputer scienceMetallurgyMaterials scienceMechanical engineeringSmart Agriculture and AISugarcane Cultivation and ProcessingSpectroscopy and Chemometric Analyses
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