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Proximal sensor data fusion for Brazilian soil properties prediction: Exchangeable/available macronutrients, aluminum, and potential acidity

Marcelo Mancini, Renata Andrade, Anita Fernanda dos Santos Teixeira, Sérgio Henrique Godinho Silva, David C. Weindorf, Somsubhra Chakraborty, Luiz Roberto Guimarães Guilherme, Nilton Curi

2022Geoderma Regional20 citationsDOI

Topics & Concepts

Categorical variableCompositional dataSensor fusionComputer scienceUsabilityData pre-processingPreprocessorSaturation (graph theory)Soil scienceEnvironmental scienceData miningMathematicsMachine learningArtificial intelligenceHuman–computer interactionCombinatoricsSoil Geostatistics and MappingSoil Moisture and Remote SensingSoil and Unsaturated Flow
Proximal sensor data fusion for Brazilian soil properties prediction: Exchangeable/available macronutrients, aluminum, and potential acidity | Litcius