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A machine learning framework to predict nutrient content in valencia-orange leaf hyperspectral measurements. This paper presents a framework based on machine learning algorithms to predict nutrient content in leaf hyperspectral measurements. This is the first approach to evaluate macro- and micronutrient con... ... Repository: BDPA Publication year: 2020
Forage mass estimation in silvopastoral and full sun systems: evaluation through proximal remote sensing applied to the SAFER model. Abstract: The operational slowness in the execution of direct methods for estimating forage mass, an important variable for defining the animal stocking rate, gave rise to the need for methods with fa... ... Repository: BDPA Publication year: 2023

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