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Monitoring crop health, growth and its stand count attributes using UAV based precision agriculture: a study in tropical farmland of Thailand
负责人:
Teerayut Horanont, Advisor
关键词:
NDVI Modified infrared CMOS sensor UAV photogrammetry Multi-temporal CSM Crop growth Deep-learning Object detection Crop Counting
DOI:
doi:10.14457/tu.the.2017.344
摘要:
on SfM to create a multitemporal surface models (DTM & DSM), followed by the difference method to generate canopy height model (CHM) which was use

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