Applications of Computer Vision and Drone Technology in Agriculture 4.0

This edited book focus on two most emerging areas and covers the different aspects of computer vision and drone technology in the field of agriculture. It comprises various applications including segmentation/classification of plant diseases, monitoring of crops, grade/quality estimation of fruits/f...

Бүрэн тодорхойлолт

-д хадгалсан:
Номзүйн дэлгэрэнгүй
Байгууллагын зохиогч: SpringerLink (Online service)
Бусад зохиолчид: Chouhan, Siddharth Singh (Засварлагч), Singh, Uday Pratap (Засварлагч), Jain, Sanjeev (Засварлагч)
Формат: Цахим Цахим ном
Хэл сонгох:англи
Хэвлэсэн: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Хэвлэл:1st ed. 2024.
Нөхцлүүд:
Онлайн хандалт:https://doi.org/10.1007/978-981-99-8684-2
Шошгууд: Шошго нэмэх
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
Агуулга:
  • Chapter 1 - Introduction to Computer Vison and Drone Technology
  • Chapter 2 - Digital Insights into Plant Health: Exploring Vegetation Indices through Computer Vision
  • Chapter 3 - Computer Vision and Agricultural Robotics for Disease Control
  • Chapter 4 - Automated system for comprehensive plant disease analysis
  • Chapter 5 - Computer Vision-Based Smart Monitoring and Control System for Crop
  • Chapter 6- Implementations and Rationale for Blockchain Technique in Agriculture
  • Chapter 7 - LeafNet – Design and Evaluation of a Deep CNN Model for Recognition of Plant Leaves, Chapter 8 - Harnessing Computer Vision for Agricultural Transformation: Insights, Techniques, and Applications
  • Chapter 9 - Different vegetation indices measurement using computer vision
  • Chapter 10 - Disease Control Measures Using Vision Enabled Agricultural Robotics
  • Chapter 11 - Assessing the Quantity of a Crop Field Using Aerial Images
  • Chapter 12 - Drone Based Intelligent Spraying of Pesticides: CurrentChallenges and its Future Prospects
  • Chapter 13 - Drone spraying system for efficient agrochemical application in precision agriculture
  • Chapter 14 - Efficient Patch-wise Crop Detection Algorithm for UAV-generated Orthomosaic
  • Chapter 15 - Economic Evaluation of UAV-Based Soil Sampling Approaches
  • Chapter 16 - Ariel Green Vision using Quad copter Pesticide Sprayer Drones - A Third Eye for Farmers
  • Chapter 17 - Revolutionizing Agriculture: The Application of Computer Vision and Drone Technology.