Zobrazeno 1 - 4
of 4
pro vyhledávání: '"João Luís Mendes Pedroso de Lima"'
Autor:
José Lucas Pereira da Silva, Francisco Bento da Silva Junior, João Pedro Alves de Souza Santos, Alexsandro Claudio dos Santos Almeida, Thieres George Freire da Silva, José Francisco de Oliveira-Júnior, George do Nascimento Araújo Júnior, Christopher Horvath Scheibel, Jhon Lennon Bezerra da Silva, João Luís Mendes Pedroso de Lima, Marcos Vinícius da Silva
Publikováno v:
Remote Sensing, Vol 16, Iss 15, p 2834 (2024)
Monitoring areas susceptible to desertification contributes to the strategic development of regions located in environments of extreme hydric and social vulnerability. Therefore, the objective of this study is to evaluate the process of soil degradat
Externí odkaz:
https://doaj.org/article/ba60058eb86b43c0b4419d177f6780c2
Autor:
Oto Barbosa de Andrade, Abelardo Antônio de Assunção Montenegro, Moisés Alves da Silva Neto, Lizandra de Barros de Sousa, Thayná Alice Brito Almeida, João Luis Mendes Pedroso de Lima, Ailton Alves de Carvalho, Marcos Vinícius da Silva, Victor Wanderley Costa de Medeiros, Rodrigo Gabriel Ferreira Soares, Thieres George Freire da Silva, Bárbara Pinto Vilar
Publikováno v:
AgriEngineering, Vol 6, Iss 1, Pp 509-525 (2024)
Precision agriculture requires accurate methods for classifying crops and soil cover in agricultural production areas. The study aims to evaluate three machine learning-based classifiers to identify intercropped forage cactus cultivation in irrigated
Externí odkaz:
https://doaj.org/article/3eb491aeb37b42f9ba262877bf9d1bf1
Autor:
Renato Augusto Soares Rodrigues, João Luis Mendes Pedroso de Lima, Abelardo Antônio Assunção Montenegro, Thayná Almeida, José Roberto Lopes da Silva
Publikováno v:
Dyna, Vol 90, Iss 226 (2023)
The semiarid is characterized by extreme heat, which affects agricultural production by limiting the soil's ability to retain water. The objective of this study was to investigate the influence of mulch on soil temperature and soil moisture in a drip
Externí odkaz:
https://doaj.org/article/46adc97018c14bf691d574c60ebdfa07
Autor:
Lizandra de Barros de Sousa, Abelardo Antônio de Assunção Montenegro, Marcos Vinícius da Silva, Thayná Alice Brito Almeida, Ailton Alves de Carvalho, Thieres George Freire da Silva, João Luis Mendes Pedroso de Lima
Publikováno v:
Remote Sensing, Vol 15, Iss 10, p 2550 (2023)
Precipitation estimation is a challenging task, especially in regions where its spatial distribution is irregular and highly variable. This study evaluated the spatial distribution of annual rainfall in a semiarid Brazilian basin under different regi
Externí odkaz:
https://doaj.org/article/f0a37d319d9b45cdb7193835a6e30bce