Luciano Shozo Shiratsuchi

According to our database, Luciano Shozo Shiratsuchi authored at least 7 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Precision agriculture in the United States: A comprehensive meta-review inspiring further research, innovation, and adoption.

Marcelo Rodrigues Barbosa Júnior, Bruno Rafael de Almeida Moreira, Vinicius dos Santos Carreira, Armando Lopes de Brito Filho, Carolina Trentin, Flávia Luize Pereira de Souza, Danilo Tedesco, Tri Setiyono, Joao Paulo Flores, Yiannis Ampatzidis, Rouverson Pereira da Silva, Luciano Shozo Shiratsuchi

Comput. Electron. Agric., 2024

2023

Machine Learning in the Hyperspectral Classification of Glycaspis brimblecombei (Hemiptera Psyllidae) Attack Severity in Eucalyptus.

Gabriella Silva de Gregori, Elisângela de Souza Loureiro, Luis Gustavo Amorim Pessoa, Gileno Brito de Azevedo, Glauce Taís de Oliveira Sousa Azevedo, Dthenifer Cordeiro Santana, Izabela Cristina de Oliveira, João Lucas Gouveia de Oliveira, Larissa Pereira Ribeiro Teodoro, Fábio Henrique Rojo Baio, Carlos Antonio da Silva Junior, Paulo Eduardo Teodoro, Luciano Shozo Shiratsuchi

Remote. Sens., December, 2023

Machine Learning in the Classification of Soybean Genotypes for Primary Macronutrients' Content Using UAV-Multispectral Sensor.

Dthenifer Cordeiro Santana, Marcelo Carvalho Minhoto Teixeira Filho, Marcelo Rinaldi da Silva, Paulo Henrique Menezes das Chagas, João Lucas Gouveia de Oliveira, Fábio Henrique Rojo Baio, Cid Naudi Silva Campos, Larissa Pereira Ribeiro Teodoro, Carlos Antonio da Silva Junior, Paulo Eduardo Teodoro, Luciano Shozo Shiratsuchi

Remote. Sens., March, 2023

Maize Yield Prediction with Machine Learning, Spectral Variables and Irrigation Management.

Fábio Henrique Rojo Baio, Dthenifer Cordeiro Santana, Larissa Pereira Ribeiro Teodoro, Izabela Cristina de Oliveira, Ricardo Gava, João Lucas Gouveia de Oliveira, Carlos Antonio da Silva Junior, Paulo Eduardo Teodoro, Luciano Shozo Shiratsuchi

Remote. Sens., January, 2023

2021

Predicting Days to Maturity, Plant Height, and Grain Yield in Soybean: A Machine and Deep Learning Approach Using Multispectral Data.

Paulo Eduardo Teodoro, Larissa Pereira Ribeiro Teodoro, Fábio Henrique Rojo Baio, Carlos Antonio da Silva Junior, Regimar Garcia dos Santos, Ana Paula Marques Ramos, Mayara Maezano Faita Pinheiro, Lucas Prado Osco, Wesley Nunes Gonçalves, Alexsandro Monteiro Carneiro, José Marcato Junior, Hemerson Pistori, Luciano Shozo Shiratsuchi

Remote. Sens., 2021

19-year remotely sensed data in the forecast of spectral models of the environment.

Fernando Saragosa Rossi, Carlos Antonio da Silva Junior, José Francisco de Oliveira-Júnior, Paulo Eduardo Teodoro, Luciano Shozo Shiratsuchi, Mendelson Lima, Larissa Pereira Ribeiro Teodoro, Auana Vicente Tiago, Guilherme Fernando Capristo-Silva

Int. J. Digit. Earth, 2021

2019

Object-based image analysis supported by data mining to discriminate large areas of soybean.

Carlos Antonio da Silva Junior, Marcos Rafael Nanni, José Francisco de Oliveira-Júnior, Everson Cezar, Paulo Eduardo Teodoro, Rafael Coll Delgado, Luciano Shozo Shiratsuchi, Muhammad Shakir, Marcelo Luiz Chicati

Int. J. Digit. Earth, 2019