Machine learning models based on remote and proximal sensing as potential methods for in-season biomass yields prediction in commercial sorghum fields. [PDF]
Habyarimana E, Baloch FS.
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The severity of dry and hot climate extremes and their related impacts on vegetation in Madagascar. [PDF]
Gouveia CM, Silva M, Russo A.
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Vegetation cover change as a growing driver of global leaf area index dynamics. [PDF]
Wang D +6 more
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Cross-ECV consistency at global scale: LAI and FAPAR changes.
Mota B +5 more
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A 20-year dataset (2001-2020) of global cropland water-use efficiency at 1-km grid resolution. [PDF]
Jiang M, Zheng C, Jia L, Chen J.
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From spectrum to yield: advances in crop photosynthesis with hyperspectral imaging. [PDF]
Panda D +7 more
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From rows to yields: how foundation models for tabular data simplify crop yield prediction. [PDF]
Sabo F +7 more
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Evaluating crop yield prediction models in illinois using aquacrop, semi-physical model and artificial neural networks. [PDF]
Gautam V, Gani A, Pathak S, Shukla AK.
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The Response of Carbon Uptake to Soil Moisture Stress: Adaptation to Climatic Aridity. [PDF]
Mengoli G, Harrison SP, Prentice IC.
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