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Titlebook: Digital Ecosystem for Innovation in Agriculture; Sanjay Chaudhary,Chandrashekhar M. Biradar,Mehul S Book 2023 The Editor(s) (if applicable

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發(fā)表于 2025-3-25 06:59:41 | 只看該作者
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Hyperspectral Remote Sensing for Agriculture Land Use and Land Cover Classificationf these emissions. Land use information is important for agriculture management, the information about which can be obtained by hyperspectral (HyS) remote sensing. The high spectral information from hyperspectral sensors can help in differentiating various LU/LC classes. In LULC, focus is to be laid
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發(fā)表于 2025-3-25 21:34:12 | 只看該作者
Computer Vision Approaches for Plant Phenotypic Parameter Determinationr the challenges. In plant breeding, phenotypic trait measurement is necessary to develop improved crop varieties. Plant phenotyping refers to studying the plant‘s morphological and physiological characteristics. Plant phenotypic traits like the number of spikes/panicle in cereal crops and senescenc
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Role of Virtual Plants in Digital Agriculturetrategy to address the impending challenge of food security. In VP modeling, first step is to select the study crop and decide on what traits to be examined, then set up a field experiment, gathering temporal data on crop growth, perform statistical analysis of this data to explore the relationship
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