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Optimal models under multiple resource types for Brix content prediction in sugarcane fields using machine learning

Chanreaksa Chea, Khwantri Saengprachatanarug, Jetsada Posom, Kanda Runapongsa Saikaew, Mahisorn Wongphati, Eizo Taira

2022Remote Sensing Applications Society and Environment17 citationsDOI

Topics & Concepts

Normalized Difference Vegetation IndexGradient boostingMathematicsBrixMachine learningVegetation (pathology)Leaf area indexArtificial intelligenceStatisticsAgronomySugarComputer scienceRandom forestBiologyFood sciencePathologyMedicineRemote Sensing in AgricultureSpectroscopy and Chemometric AnalysesSugarcane Cultivation and Processing
Optimal models under multiple resource types for Brix content prediction in sugarcane fields using machine learning | Litcius