Bücher online kaufen
Unmanned Aerial Systems in Precision Agriculture
-0 %
 |
| Der Artikel wird am Ende des Bestellprozesses zum Download zur Verfügung gestellt. |
Technological Progresses and Applications
eBook
Sofort lieferbar | Lieferzeit: Sofort lieferbar
Artikel-Nr:
9789811920271
Veröffentl:
2022
Einband:
eBook
Seiten:
136
Autor:
Zhao Zhang
Serie:
2, Smart Agriculture
eBook Typ:
PDF
eBook Format:
Reflowable eBook
Kopierschutz:
Digital Watermark [Social-DRM]
Sprache:
Englisch
Beschreibung:
This book, consisting of 8 chapters, describes the state-of-the-art technological progress and applications of unmanned aerial vehicles (UAVs) in precision agriculture. It focuses on the UAV application in agriculture, such as crop disease detection, mid-season yield estimation, crop nutrient status, and high-throughput phenotyping. Different from individual papers focusing on a specific application, this book provides a holistic view for readers with a wide range of subjects. In addition to researchers in the areas of plant science, plant pathology, breeding, engineering, it is also intended for undergraduates and graduates who are interested in imaging processing, artificial intelligence in agriculture, precision agriculture, agricultural automation, and robotics.
This book, consisting of 8 chapters, describes the state-of-the-art technological progress and applications of unmanned aerial vehicles (UAVs) in precision agriculture. It focuses on the UAV application in agriculture, such as crop disease detection, mid-season yield estimation, crop nutrient status, and high-throughput phenotyping. Different from individual papers focusing on a specific application, this book provides a holistic view for readers with a wide range of subjects. In addition to researchers in the areas of plant science, plant pathology, breeding, engineering, it is also intended for undergraduates and graduates who are interested in imaging processing, artificial intelligence in agriculture, precision agriculture, agricultural automation, and robotics.
Applications of UAVs and machine learning in agriculture.- Robot Operating System Powered Data Acquisition for Unmanned Aircraft Systems in Digital Agriculture.- Unmanned aerial vehicle (UAV) applications in cotton production.- Time effect after initial wheat lodging on plot lodging ratio detection using UAV imagery and deep learning.- UAV mission height effects on wheat lodging ratio detection.- Wheat-Net: An Automatic Dense Wheat Spike Segmentation Method Based on An Optimized Hybrid Task Cascade Model.- UAV multispectral remote sensing for yellow rust mapping: opportunities and challenges.- Corn Goss's Wilt disease assessment based on UAV imagery.