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Иш: A Novel Fusion Method for Soybean Yield Prediction Using Sentinel-2 and PlanetScope Imagery

1. Assessing the fidelity of Landsat-based fAPAR models in two diverse sugarcane growing regions

   Sybrand Jacobus Muller, P. Sithole, A. Singels +1

   Мақола20202 иқтибос

   ABIABI:AkademIndex/openalex/2026.other.084610

2. Optimal Soybean (Glycine max L.) Land Suitability Using GIS-Based Multicriteria Analysis and Sentinel-2 Multitemporal Images

   Dorijan Radočaj, Mladen Jurišić, Mateo Gašparović +1

   Мақола20202 иқтибос

   ABIABI:AkademIndex/openalex/2026.other.084612

3. Assessing within-Field Corn and Soybean Yield Variability from WorldView-3, Planet, Sentinel-2, and Landsat 8 Satellite Imagery

   Sergii Skakun, Natacha Kalecinski, Meredith G. L. Brown +4

   Мақола20212 иқтибос

   ABIABI:AkademIndex/openalex/2026.other.084614

4. SOYBEAN YIELD PREDICTION USING REMOTE SENSING IN SOUTHWESTERN PIAUÍ STATE, BRAZIL

   Thatiane Gomes Andrade, Aderson Soares de Andrade Júnior, Melissa Oda‐Souza +2

   Мақола20222 иқтибос

   ABIABI:AkademIndex/openalex/2026.other.084618

5. Maize Yield Estimation in Intercropped Smallholder Fields Using Satellite Data in Southern Malawi

   Chengxiu Li, Ellasy Gulule Chimimba, Oscar Kambombe +7

   Мақола20222 иқтибос

   ABIABI:AkademIndex/openalex/2026.other.084620

6. Crop Yield Prediction using Machine Learning Techniques

   Ramesh Medar, Vijay S. Rajpurohit, Shweta Shweta

   Мақола20192 иқтибос

   ABIABI:AkademIndex/openalex/2026.other.105744

7. The handbook of brain theory and neural networks

   Krzysztof J. Cios, Mark E. Shields

   Мақола19972 иқтибос

   ABIABI:AkademIndex/openalex/2026.other.129942

8. Near real-time agriculture monitoring at national scale at parcel resolution: Performance assessment of the Sen2-Agri automated system in various cropping systems around the world

   Pierre Defourny, Sophie Bontemps, Nicolas Bellemans +26

   Мақола20182 иқтибос

   ABIABI:AkademIndex/openalex/2026.other.129962

9. Comparative assessment of environmental variables and machine learning algorithms for maize yield prediction in the US Midwest

   Yanghui Kang, Mutlu Özdoğan, Xiaojin Zhu +3

   Мақола20202 иқтибос

   ABIABI:AkademIndex/openalex/2026.other.129970

10. On hyperparameter optimization of machine learning algorithms: Theory and practice

    Li Yang, Abdallah Shami

    Мақола20202 иқтибос

    ABIABI:AkademIndex/openalex/2026.other.129973

11. Crop yield prediction using machine learning: A systematic literature review

    Thomas van Klompenburg, Ayalew Kassahun, Cagatay Catal

    Мақола20202 иқтибос

    ABIABI:AkademIndex/openalex/2026.other.129974

12. Machine learning algorithms for soybean yield forecasting in the Brazilian Cerrado

    Valter Barbosa dos Santos, Aline Moreno Ferreira dos Santos, José Reinaldo da Silva Cabral de Moraes +2

    Мақола20212 иқтибос

    ABIABI:AkademIndex/openalex/2026.other.129980

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    ABIABI:AkademIndex/openalex/2026.other.129937

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    ABIABI:AkademIndex/openalex/2026.other.129938

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    ABIABI:AkademIndex/openalex/2026.other.129939

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    ABIABI:AkademIndex/openalex/2026.other.129940

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    ABIABI:AkademIndex/openalex/2026.other.129941

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    ABIABI:AkademIndex/openalex/2026.other.129943

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    ABIABI:AkademIndex/openalex/2026.other.129944

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    ABIABI:AkademIndex/openalex/2026.other.129945

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    ABIABI:AkademIndex/openalex/2026.other.129946

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    ABIABI:AkademIndex/openalex/2026.other.129947

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    ABIABI:AkademIndex/openalex/2026.other.129948

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    ABIABI:AkademIndex/openalex/2026.other.129949

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    ABIABI:AkademIndex/openalex/2026.other.129950