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Titlebook: Smart Big Data in Digital Agriculture Applications; Acquisition, Advance Haoyu Niu,YangQuan Chen Book 2024 The Editor(s) (if applicable) an

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發(fā)表于 2025-3-26 23:41:13 | 只看該作者
Tree-Level Evapotranspiration Estimation of Pomegranate Trees Using Lysimeter and UAV Multispectral insights into the determination of individual tree ., the spatial variability mapping of . and ., and the overall performance of the individual tree-level evapotranspiration estimation method. The chapter concludes with a set of comprehensive conclusions, summarizing key findings and their implicati
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發(fā)表于 2025-3-27 03:52:37 | 只看該作者
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A Non-invasive Stem Water Potential Monitoring Method Using Proximate Sensor and Machine Learning Clential monitoring. This research opens avenues for advancing digital agriculture through enhanced water management practices. References are provided for further exploration of the methodologies and concepts discussed in this chapter.
36#
發(fā)表于 2025-3-27 18:19:47 | 只看該作者
Book 2024ariability in vast expanses. This combination of data acquisition platforms and advanced analytics generates substantial datasets, necessitating a deep understanding of fractional-order thinking, which is imperative due to the inherent “complexity” and consequent variability within the agricultural
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