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International Journal of Remote Sensing Volume 42, 2021 - Issue 24
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Research Article

Benchmarking statistical modelling approaches with multi-source remote sensing data for millet yield monitoring: a case study of the groundnut basin in central Senegal

Yawogan Jean Eudes Gbodjoa INRAE, MathNum Department, UMR TETIS, University of Montpellier, Montpellier, FranceCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-6923-0248View further author information
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Dino Iencoa INRAE, MathNum Department, UMR TETIS, University of Montpellier, Montpellier, FranceORCID Iconhttps://orcid.org/0000-0002-8736-3132View further author information
ORCID Icon &
Louise Lerouxb CIRAD, Persyst Department, UPR AÏDA, Dakar, Sénégal;c Persyst Department, AIDA, University of Montpellier, CIRAD, Montpellier, France;d Centre de Suivi Ecologique, Dakar, SénégalORCID Iconhttps://orcid.org/0000-0002-7631-2399View further author information
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Pages 9285-9308 | Received 08 Apr 2021, Accepted 09 Oct 2021, Published online: 09 Nov 2021

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Pradeep Kumar, Arti Choudhary, P. K. Joshi, Rajendra Prasad & Sudhir Kumar Singh. (2024) Multiple crop yield estimation and forecasting using MERRA-2 model, satellite-gauge and MODIS satellite data by time series and regression modelling approach. Geocarto International 37:27, pages 16590-16619.
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Articles from other publishers (3)

Tesfamariam Engida Mengesha, Lulseged Tamene Desta, Paolo Gamba & Getachew Tesfaye Ayehu. (2024) Multi-Temporal Passive and Active Remote Sensing for Agricultural Mapping and Acreage Estimation in Context of Small Farm Holds in Ethiopia. Land 13:3, pages 335.
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Ibrahima Diack, Serigne Mansour Diene, Leroux Louise, Diouf Abdoul Aziz, Heuclin Benjamin, Roupsard Olivier, Letourmy Philippe, Audebert Alain, Sarr Idrissa & Diallo Moussa. (2024) Combining UAV and Sentinel-2 Imagery for Estimating Millet FCover in a Heterogeneous Agricultural Landscape of Senegal. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 17, pages 7305-7322.
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Johann Desloires, Dino Ienco & Antoine Botrel. (2023) Out-of-year corn yield prediction at field-scale using Sentinel-2 satellite imagery and machine learning methods. Computers and Electronics in Agriculture 209, pages 107807.
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