Forecasting sugarcane yields using agro-climatic indicators and Canegro model: A case study in the main production region in Brazil-Reference-Cited by-同舟云学术

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Forecasting sugarcane yields using agro-climatic indicators and Canegro model: A case study in the main production region in Brazil

Published:2017-06 Issue: Volume:154 Page:45-52
ISSN:0308-521X
Container-title:Agricultural Systems
language:en
Short-container-title:Agricultural Systems

Author:

Pagani Valentina,Stella Tommaso,Guarneri Tommaso,Finotto Giacomo,van den Berg Maurits,Marin Fabio Ricardo,Acutis Marco,Confalonieri Roberto

Funder

European Community's Seventh Framework Programme

Publisher

Elsevier BV

Subject

Agronomy and Crop Science,Animal Science and Zoology

Reference52 articles.

1. Advances in remote sensing of agriculture: context description, existing operational monitoring systems and major information needs;Atzberger;Remote Sens.,2013

2. A stochastic modelling approach for real-time forecasting of winter wheat yield;Bannayan;Field Crop Res.,1999

3. RB867515 Sugarcane cultivar;Barbosa;Crop Breed. Appl. Biotechnol.,2008

4. Operational forecasting of South African sugarcane production: part 1 – system description;Bezuidenhout;Agric. Syst.,2007

5. Operational forecasting of South African sugarcane production: part 2 – system evaluation;Bezuidenhout;Agric. Syst.,2007

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2. Regional Model to Predict Sugarcane Yield Using Sentinel-2 Imagery in São Paulo State, Brazil;Sugar Tech;2024-08-28

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5. Digital soil mapping and crop modeling to define the spatially-explicit influence of soils on water-limited sugarcane yield;Plant and Soil;2024-03-22

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