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Detecting and classifying pests in crops using proximal images and machine learning: a review. Author(s): BARBEDO, J. G. A. Abstract: Pest management is among the most important activities in a farm. Monitoring all different species visually may not be effective, especially in large properties. Accordingly, considerable re... ... Repository: BDPA Publication year: 2020
Utilização de machine learning para classificação de plantas saudáveis e plantas submetidas ao estresse. Author(s): VIANA, J. V. S.; DANTAS, L. P.; PAULA, O. R. de; BARRETO, B. B.; MILORI, D. M. B. P. A integração de tecnologias na agricultura tem se tornado cada vez mais comum, trazendo consigo uma série de benefícios, desde o aumento da produtividade até contribuições para a sustentabilidade. Uma... ... Repository: BDPA Publication year: 2023
Identificação de marcadores SNPs para teor de amilose em arroz pela estratégia de Machine Learning. Author(s): SARTORI, D. E. L.; RODRIGUES, A. H. A.; CERRI, R.; BASSINELLO, P. Z.; NARCISO, M. G.; BRONDANI, C.; VIANELLO, R. P. O objetivo deste estudo foi identificar, por meio da estratégia Machine Learning, marcadores SNPs relacionados com TA para uso na seleção assistida por marcadores no programa de melhoramento genético... ... Repository: BDPA Publication year: 2018
Big earth observation data and machine learning for mapping crop-livestock integrated system in Brazil. Author(s): KUCHLER, P. C.; SIMÕES, M.; BEGUE, A.; FERRAZ, R. P. D. The adoption of crop-livestock (iCL) integrated systems has been pointed out as an important strategy for increasing production based on sustainable intensification of land use in Brazil. Mapping and... ... Repository: BDPA Publication year: 2021
Machine learning prediction of multiple anthelmintic resistance and gastrointestinal nematode control in sheep flocks. Author(s): NICIURA, S. C. M.; SANCHES, G. M. The high prevalence of Haemonchus contortus and its anthelmintic resistance have affected sheep production worldwide. Machine learning approaches are able to investigate the complex relationships amon... ... Repository: BDPA Publication year: 2024
Decision Support in Attribute Selection with Machine Learning Approach. Author(s): ARBEX, W. A.; SILVA, F. F. e; SILVA, M. V. G. B.; BORGES, C. C. H.; OLIVEIRA, F. C. de; VARONA, L.; VERNEQUE, R. da S. Repository: BDPA Publication year: 2014
Temporal field phenomics of transgenic maize events subjected to drought stress: cross?validation scenarios and machine learning models. Author(s): PEREIRA, H. D.; NONATO, J. V. A.; MOLTOCARO, R. C. R.; GERHARDT, I. R.; DANTE, R. A.; ARRUDA, P.; YASSITEPE, J. E. de C. T. Global climate change has driven breeding programs to develop abiotic stress?resilient plant varieties. Traditionally, assessing drought resilience involves labor?intensive and time?consuming processe... ... Repository: BDPA Publication year: 2025
Andrological classification of bulls evaluated by machine learning. Author(s): ISLER, S. A.; ABREU, U. G. P. de; NOGUEIRA, E.; WEBER, V. A. de M.; PEDRO, F. de O.; ROSCHEL, M. S.; STERZA, F. de A. M; CORDEIRO, D. A. G.; WEBER, F. de L. Repository: BDPA Publication year: 2024
Genomic prediction of leaf rust resistance to Arabica coffee using machine learning algorithms. Author(s): SOUSA, I. C. de; NASCIMENTO, M.; SILVA, G. N.; NASCIMENTO, A. C. C.; CRUZ, C. D.; SILVA, F. F. e; ALMEIDA, D. P. de; PESTANA, K. N.; AZEVEDO, C. F.; ZAMBOLIM, L.; CAIXETA, E. T. Genomic selection (GS) emphasizes the simultaneous prediction of the genetic effects of thousands of scattered markers over the genome. Several statistical methodologies have been used in GS for the p... ... Repository: BDPA Publication year: 2021
Drought tolerance classification of grapevine rootstock by machine learning for the São Francisco Valley. Author(s): VERSLYPEA, N. I.; NASCIMENTO, A. C. A. do; MUSSER, R. dos S.; CALDASM R, M. de S.; MARTINS, L. S. S.; LEAO, P. C. de S. Machine Learning (ML) algorithms are increasingly being used in several areas of agricultural studies, such as plant breeding. ML can assist in the recognition of relevant patterns or groups, or even... ... Repository: BDPA Publication year: 2023

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