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Jonathan Richetti

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Commonwealth Scientific and Industrial Research Organisation

Australia

Research Interests

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Professors in Australia Professors in Remote Sensing Remote Sensing professors in Australia

Recent Grants

Grant: Close

CSIRO-INRAe Linkage Program

Open Date: 2024-01-01

Close Date: 2024-01-01

Grant: Close

Sensoriamento Remoto e Modelagem de Cultura para soja no Parana

Open Date: 2017-04-01

Close Date: 2017-12-01

Articles (15)

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2026

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2025

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2023

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2023

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2023

Collaborators (8)

Donald Gaydon

Commonwealth Scientific and Industrial Research Organisation

AUSTRALIA

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Alison McCarthy

Senior Research Fellow

University of Southern Queensland

AUSTRALIA

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Hilmy Baja

Wageningen University & Research

NETHERLANDS

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Robert Strong

Professor

Texas A&M University

UNITED STATES

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Allard de Wit

Wageningen University & Research

NETHERLANDS

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Yacob Beletse

CSIRO Black Mountain Laboratories

AUSTRALIA

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Di He

Commonwealth Scientific and Industrial Research Organisation

AUSTRALIA

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Pratishtha Poudel

Assistant Professor

Purdue University

UNITED STATES

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Jonathan Richetti

Research Interests

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Recent Grants

Articles (15)

CY-Bench: a comprehensive benchmark dataset for sub-national crop yield forecasting

Tackling fluffy clouds: robust agricultural field boundary delineation from Sentinel-1 and Sentinel-2 satellite image time series

A first step towards data ecosystem design for AI in agriculture: A case study assessing variable importance for optimising nitrogen decision-making in wheat

What makes on-farm experimental data suitable for data-driven decision-making? Implications of trial design and spatial distribution of field data for machine learning models

Challenges in modelling the impact of frost and heat stress on the yield of cool-season annual grain crops

DOWNSCALING LONG-TERM SUB-NATIONAL GRAIN YIELDS INTO FIELD-LEVEL EQUIVALENTS

Unlocking chickpea flour potential: AI-powered prediction for quality assessment and compositional characterisation

Model evaluation: The misuse of statistical techniques when evaluating observations versus predictions

How well does APSIM NextGen simulate wheat yields across Australia using gridded input data? Validating Continental-Scale Crop Model Simulations

Within-field extrapolation away from a soil moisture probe using freely available satellite imagery and weather data

Digital strategies for nitrogen management in grain production systems: lessons from multi-method assessment using on-farm experimentation

Tackling fluffy clouds: field boundaries detection using time series of S2 and/or S1 imagery

Estimating Crop Sowing and Harvesting Dates Using Satellite Vegetation Index: A Comparative Analysis

An Approach for Validation of Soil Moisture Algorithms in Heterogenous Agricultural Regions Using Synthetic Dataset

A methods guideline for deep learning for tabular data in agriculture with a case study to forecast cereal yield

Collaborators (8)

Donald Gaydon

Alison McCarthy

Hilmy Baja

Robert Strong

Allard de Wit

Yacob Beletse

Di He

Pratishtha Poudel

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