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Guided soil sampling using soil management zones and proximal soil sensors to improve cost-benefit ratio of fertilizer recommendations. The objective was to integrate soil data from two proximal soil sensors to improve the delineation of homogeneous soil regions using a k-means clustering algorithm defining three distinct management z... ... Repository: BDPA Publication year: 2024
Field proximal soil sensor fusion for improving high-resolution soil property maps. Mapping soil properties, using geostatistical methods in support of precision agriculture and related activities, requires a large number of samples. To reduce soil sampling and measurement time and c... ... Repository: BDPA Publication year: 2020
Remote and proximal sensors data fusion: digital twins in irrigation management zoning. The scientific field of precision agriculture employs increasingly innovative techniques to optimize inputs, maximize profitability, and reduce environmental impact. However, obtaining a high number o... ... Repository: BDPA Publication year: 2024
Análise discriminante canônica aplicada a dados de reflectância espectral foliar de videiras, oriundos de sensor proximal. O sensoriamento remoto proximal ou em nível de folha, com sensores equipados de centenas ou milhares de bandas, contribui com perfis espectrais detalhados sobre estado vegetativo das plantas. Repository: BDPA Publication year: 2019
Estimativa da biomassa da parte aérea em pastagem de Urochloa decumbens com o uso de um sensor proximal de refletância do dossel. Author(s): BERNARDI, A. C. de C.; PEZZOPANE, J. R. M. As gramíneas forrageiras tropicais, como a Urochloa (syn. Brachiaria) decumbens, são as mais utilizadas na bovinocultura extensiva e intensiva do Brasil. A U. decumbens é altamente aclimatada, princip... ... Repository: BDPA Publication year: 2019
Proximal and remote sensor data fusion for in-depth salinization mapping in the Brazilian semiarid via machine learning. Mapping the salinization in irrigated cropland is a challenging practice. As an alternative, data from proximal and remote sensors have been implemented together via datafusion and machine learning al... ... Repository: BDPA Publication year: 2022
Management zones from proximal soil sensors capture within-field soil property and terrain variations. The objectives are to delineate soil management zones from soil proximal sensor data, and compare soil property values among zones in a 72-ha crop field in southeastern Brazil. Apparent electrical con... ... Repository: BDPA Publication year: 2022
Estimativa do índice de área foliar em pastagem extensiva a partir de um sensor proximal de refletância do dossel. Author(s): BERNARDI, A. C. de C.; PEZZOPANE, J. R. M. O conhecimento das propriedades e parâmetros biofísicos do solo e planta são importantes para o manejo adequado de insumos utilizados nas pastagens. Um parâmetro importante é o índice de área foliar (... ... Repository: BDPA Publication year: 2019
A machine learning framework to predict nutrient content in valencia-orange leaf hyperspectral measurements. Author(s): JORGE, L. A. de C. 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. Author(s): NOGUEIRA, S. F.; PEZZOPANE, J. R. M.; BERNARDI, A. C. de C.; SILVA, G. B. S. da 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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