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An operational workflow to assess rice nutritional status based on satellite imagery and smartphone apps.

, , , , , , and . Comput. Electron. Agric., (2018)

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ISIde: A rice modelling platform for in silico ideotyping., , , , and . Comput. Electron. Agric., (2016)Quantifying the Accuracy of Digital Hemispherical Photography for Leaf Area Index Estimates on Broad-Leaved Tree Species., , , and . Sensors, 18 (4): 1028 (2018)Uncertainty in crop model predictions: What is the role of users?, , , , , , , , , and 11 other author(s). Environ. Model. Softw., (2016)Estimating Leaf Area Index (LAI) in Vineyards Using the PocketLAI Smart-App., , , , , , , and . Sensors, 16 (12): 2004 (2016)Downstream Services for Rice Crop Monitoring in Europe: From Regional to Local Scale., , , , , , , , , and 25 other author(s). IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 10 (12): 5423-5441 (2017)An operational workflow to assess rice nutritional status based on satellite imagery and smartphone apps., , , , , , and . Comput. Electron. Agric., (2018)Estimating Crop Nutritional Status Using Smart Apps to Support Nitrogen Fertilization. A Case Study on Paddy Rice., , , , , , , , and . Sensors, 19 (4): 981 (2019)