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Jonathan Richetti
Jonathan Richetti
Research Scientist - CSIRO
在 csiro.au 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
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Köppen, Thornthwaite and Camargo climate classifications for climatic zoning in the State of Paraná, Brazil
LEO Aparecido, GS Rolim, J Richetti, PS Souza, JA Johann
Ciência e Agrotecnologia 40, 405-417, 2016
1772016
A review of methods to evaluate crop model performance at multiple and changing spatial scales
D Pasquel, S Roux, J Richetti, D Cammarano, B Tisseyre, JA Taylor
Precision Agriculture 23 (4), 1489-1513, 2022
502022
How will the next-generation of sensor-based decision systems look in the context of intelligent agriculture? A case-study
AF Colaço, J Richetti, RGV Bramley, RA Lawes
Field Crops Research 270, 108205, 2021
342021
Remotely sensed vegetation index and LAI for parameter determination of the CSM-CROPGRO-Soybean model when in situ data are not available
J Richetti, KJ Boote, G Hoogenboom, J Judge, JA Johann, ...
International Journal of Applied Earth Observation and Geoinformation 79 …, 2019
242019
Mapping summer soybean and corn with remote sensing on Google Earth Engine cloud computing in Parana state–Brazil
A Paludo, WR Becker, J Richetti, LCDA Silva, JA Johann
International Journal of Digital Earth 13 (12), 1624-1636, 2020
222020
Using phenology-based enhanced vegetation index and machine learning for soybean yield estimation in Paraná State, Brazil
J Richetti, J Judge, KJ Boote, JA Johann, MA Uribe-Opazo, WR Becker, ...
Journal of Applied Remote Sensing 12 (2), 026029-026029, 2018
202018
A methods guideline for deep learning for tabular data in agriculture with a case study to forecast cereal yield
J Richetti, FI Diakogianis, A Bender, AF Colaço, RA Lawes
Computers and Electronics in Agriculture 205, 107642, 2023
142023
Data Mining Techniques for Separation of Summer Crop Based on Satellite Images1
WR Becker, JA Johann, J Richetti, LC Silva
Engenharia Agrícola 37, 750-759, 2017
122017
Using remote sensing, process-based crop models, and machine learning to evaluate crop rotations across 20 million hectares in Western Australia
R Lawes, G Mata, J Richetti, A Fletcher, C Herrmann
Agronomy for Sustainable Development 42 (6), 120, 2022
72022
Agricultural soybean and corn calendar based on moderate resolution satellite images for southern Brazil
WR Becker, J Richetti, E Mercante, JCDM Esquerdo, CA da Silva Junior, ...
Semina: Ciências Agrárias 41 (5supl1), 2419-2428, 2020
72020
Classificações climáticas de Köppen, Thornthwaite e Camargo para o zoneamento climático do Estado do Paraná, Brasil
LEO Aparecido, GS Rolim, J Richetti, PS Souza, JA Johann
Ciência e Agrotecnologia 40, 405-417, 2016
72016
Harvest date forecast for soybeans from maximum vegetative development using satellite images
WR Becker, LCDA Silva, J Richetti, TB Ló, JA Johann
International Journal of Remote Sensing 42 (3), 1121-1138, 2021
62021
Algoritmos de Aprendizado de Máquina para classificação de soja em imagens Landsat-8
LCDA Silva, J Richetti, WR Becker, A Paludo, WR Verica, JA Johann
Acta Iguazu 6 (3), 65-78, 2017
42017
Digital strategies for nitrogen management in grain production systems: lessons from multi-method assessment using on-farm experimentation
AF Colaço, BM Whelan, RGV Bramley, J Richetti, M Fajardo, ...
Precision Agriculture, 1-31, 2024
32024
Three Decades after: Landscape Dynamics in Different Colonisation Models Implemented in the Brazilian Legal Amazon
V Moura, RA Souza, E Mercante, J Richetti, JA Johann
Remote Sensing 13 (22), 4581, 2021
32021
Crop modeling with less data: the FAO model for Soybean yield estimation
J Richetti, JA Johann, MA Uribe-Opazo
Engenharia Agrícola 41, 196-203, 2021
32021
Data mining techniques for rainfall regionalization in Parana state
J Richetti, EG Cima, JA Johann, MA Uribe-Opazo
Acta Iguazu 7 (1), 1-8, 2018
32018
Obtenção de dados espaciais e temporais das culturas agrícolas no estado do Paraná
WR Becker, VHR Prudente, JA Johann, J Richetti, E Mercante
Anais do Simpósio Brasileiro de Sensoriamento Remoto, João Pessoa, PB, Brasil 17, 2015
32015
Processamento E Classificação De Imagens Landsat-8 Para Uso E Ocupação Do Município De Tupãssi-Pr Utilizando O Google Earth Engine.[Paper Presentation]
EM Rambo, LC de Albuquerque Silva, WR Becker, J Richetti, J Bortolini, ...
Xix Simpósio Brasileiro De Sensoriamento Remoto. Santos, São Paulo, Brasil, 2019
22019
TÉCNICAS PARA DETECÇÃO DE PONTOS INFLUENTES EM VARIÁVEIS CONTÍNUAS REGIONALIZADAS
JAJ Jonathan Richetti, Miguel A. Uribe-Opazo, Fernanda de Bastiani
Revista Brasileira de Engenharia Agrícola 36 (1), 152-165, 2016
2*2016
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