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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 2025-3-30 09:01:08 | 只看該作者
52#
發(fā)表于 2025-3-30 15:25:04 | 只看該作者
Muhammad Aufeef Chauhan,Christian W. Probstneity. Orchards and plantation crops contribute significantly to terrestrial C-pools but have not received adequate attention. Remote sensing (RS) with vegetation discrimination and monitoring capacity is critical to describe spatial C-pool variability. The natural forest in India has been significa
53#
發(fā)表于 2025-3-30 19:14:31 | 只看該作者
Gitosree Khan,Sabnam Sengupta,Anirban Sarkarfor prediction, and it is a complex task with dependence on many parameters like weather, soil, and farm practices. The fusion of extra information can improve the prediction. Therefore, the chapter studies the impact of vegetation indices on wheat yield prediction using satellite images. The chapte
54#
發(fā)表于 2025-3-30 22:10:37 | 只看該作者
https://doi.org/10.1007/978-3-662-48634-4tion, application of fertilizers, etc. Irrigation is a very important phase of any crop cultivation practice. Irrigation scheduling, water management, crop forecasting, and demands precise crop-specific water requirements (CWR) which nowadays become extremely important for various crops grown under
55#
發(fā)表于 2025-3-31 04:33:50 | 只看該作者
Yuanyang Wang,Xiaohong Chen,Ling Yinf 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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