Enhancing assessment of corn growth performance using unmanned aerial vehicles (UAVs) and deep learning

Enhancing assessment of corn growth performance using unmanned aerial vehicles (UAVs) and deep learning

The advancement of unmanned aerial vehicles (UAVs) offers precise and accurate spectral and spatial information about crops and plays a pivotal role in precision agriculture. This study used UAVs, geographic information systems (GIS), and deep learning technology to monitor corn growth performance a...

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Bibliographic Details
Main Authors: Xiao, Juan, Suab, Stanley Anak, Chen, Xinyu, Singh, Chander Kumar, Singh, Dharmendra, Aggarwal, Ashwani Kumar, Korom, Alexius, Widyatmanti, Wirastuti, Mollah, Tanjinul Hoque, Minh, Huynh Vuong Thu, Khedher, Khaled Mohamed, Avtar, Ram
Format: Article
Language:English
Published: Elsevier B.V. 2023
Subjects:
Land Use and Environmental Planning
Online Access:https://repository.ugm.ac.id/286400/1/scopus7.bib

Internet

https://repository.ugm.ac.id/286400/1/scopus7.bib

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