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Precision crop load management part 2. Author(s): ROBINSON, T.; HOYING, S.; SAZO, M. M.; RUFATO, A. de R. The Precision Crop Load management protocol, which was used by some growers in 2013, consisted of first defining the optimum fruit number/tree (target fruit number) and then pruning to reduce flower b... ... Repository: BDPA Publication year: 2014
Clustering approaches and ensembles applied in the delineation of management classes in precision agriculture. Author(s): SPERANZA, E. A.; CIFERRI, R. R.; CIFERRI, C. D. de A. Abstract. This paper describes an experiment performed using different approaches for spatial data clustering, aiming to assist the delineation of management classes in Precision Agriculture (PA). The... ... Repository: BDPA Publication year: 2016
Geotechnologies and soil mapping for delimitation of management zones as an approach to precision viticulture. Author(s): FILIPPINI ALBA, J. M.; FLORES, C. A.; MIELE, A. Data of the physical and chemical properties of soils from three vineyards located in Vale dos Vinhedos, Bento Gonc ̧alves, Rio Grande do Sul state, in southern Brazil, were processed. Soil mappi... ... Repository: BDPA Publication year: 2017
Remote sensing and kriging with external drift to improve sparse proximal soil sensing data and define management zones in precision agriculture. Author(s): RODRIGUES, H. M.; CEDDIA, M. B.; VASQUES, G. M.; MULDER, V. L.; HEUVELINK, G. B. M.; OLIVEIRA, R. P. de; BRANDAO, Z. N.; MORAIS, J. P. S.; NEVES, M. L.; TAVARES, S. R. de L. The precision agriculture scientific field employs increasingly innovative techniques to optimize inputs, maximize profitability, and reduce environmental impacts. Therefore, obtaining a high number o... ... Repository: BDPA Publication year: 2023
Livestock IoT: precision livestock management in agribusiness. Author(s): KASSAB, M.; ARBEX, W. A.; GRACIANO NETO, V. V.; GOMES, J.; BRAGA, R.; DAVID, J. M.; OLIVEIRA, R. This paper introduces Livestock IoT (LIoT), a Software Ecosystem (SECO) tailored for precision livestock management within the broader Internet of Things (IoT) concept in agribusiness. In response to... ... Repository: BDPA Publication year: 2024
Using ensembles with spatial clustering approaches applied in the delineation of management classes in precision agriculture. Author(s): SPERANZA, E. A.; CIFERRI, R. R. This paper describes experiments performed using diff erent approaches for spatial data clustering, aiming to assist the delineation of management classes in Precision Agriculture (PA). These approach... ... Repository: BDPA Publication year: 2017
Smart water management platform: IoT-based precision irrigation for agriculture. Author(s): KAMIENSKI, C.; SOININEN, J. P.; TAUMBERGER, M.; DANTAS, R.; TOSCANO, A.; CINOTTI, T. S.; MAIA, R. F.; TORRE NETO, A. Repository: BDPA Publication year: 2019
Equations to estimate tree gaps in a precision forest management area the Amazon based on crown morphometry. Author(s): FIGUEIREDO, E. O.; OLIVEIRA, M. V. N. d'; FEARNSIDE, P. M.; BRAZ, E. M.; PAPA, D. de A. The precision forest management technique still has much to be improved with the incorporation of forest biometric techniques and forest profiling with airborne LIDAR. When planning the cutting of a t... ... Repository: BDPA Publication year: 2017
LIDAR-based estimation of bole biomass for precision management of an Amazonian forest: comparisons of ground-based and remotely sensed estimates. Author(s): FIGUEIREDO, E. O.; OLIVEIRA, M. V. N. d'; BRAZ, E. M.; PAPA, D. de A.; FEARNSIDE, P. M. Based on airborne LIDAR data on canopymorphology and height of Amazon forest trees, we developed allometric models to estimate dry biomass stored in the boles of dominant and co-dominant individuals a... ... Repository: BDPA Publication year: 2016
Management of precision: a new step aiming at tropical natural forest sustainability. Author(s): BRAZ, E. M.; PASSOS, C.; OLIVEIRA, L. C.; OLIVEIRA, M. V. N. d'; MATTOS, P. P. de Repository: BDPA Publication year: 2005

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