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  1. 1
    Spatial Rice Yield Estimation Based on MODIS and Sentinel-1 SAR Data and ORYZA Crop Growth Model

    Spatial Rice Yield Estimation Based on MODIS and Sentinel-1 SAR Data and ORYZA Crop Growth Model von Setiyono, Tri, Quicho, Emma, Gatti, Luca, Campos-Taberner, Manuel, Busetto, Lorenzo, Collivignarelli, Francesco, García-Haro, Francisco, Boschetti, Mirco, Khan, Nasreen, Holecz, Francesco


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  2. 2
    Spatial Rice Yield Estimation Using Multiple Linear Regression Analysis, Semi-Physical Approach and Assimilating SAR Satellite Derived Products with DSSAT Crop Simulation Model

    Spatial Rice Yield Estimation Using Multiple Linear Regression Analysis, Semi-Physical Approach and Assimilating SAR Satellite Derived Products with DSSAT Crop Simulation Model von Pazhanivelan, Sellaperumal, Geethalakshmi, Vellingiri, Tamilmounika, R., Sudarmanian, N. S., Kaliaperumal, Ragunath, Ramalingam, Kumaraperumal, Sivamurugan, A. P., Mrunalini, Kancheti, Yadav, Manoj Kumar, Quicho, Emma D.

    Veröffentlicht in Agronomy (Basel)

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  3. 3
    Southeast Asia must narrow down the yield gap to continue to be a major rice bowl

    Southeast Asia must narrow down the yield gap to continue to be a major rice bowl von Yuan, Shen, Stuart, Alexander M, Laborte, Alice G, Rattalino Edreira, Juan I, Dobermann, Achim, Kien, Le Vu Ngoc, Thúy, Lưu Thị, Paothong, Kritkamol, Traesang, Prachya, Tint, Khin Myo, San, Su Su, Villafuerte, 2nd, Marcelino Q, Quicho, Emma D, Pame, Anny Ruth P, Then, Rathmuny, Flor, Rica Joy, Thon, Neak, Agus, Fahmuddin, Agustiani, Nurwulan, Deng, Nanyan, Li, Tao, Grassini, Patricio

    Veröffentlicht in Nature food

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