
Precision Agriculture for Sustainability
Use of Smart Sensors, Actuators, and Decision Support Systems
- 472 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Precision Agriculture for Sustainability
Use of Smart Sensors, Actuators, and Decision Support Systems
About this book
This new book delves into how modern technologies—i.e., global positioning systems (GPS), unmanned aerial vehicles (drones), image processing methods, artificial intelligence, machine learning, and deep learning—are being used to make agriculture more farmer-friendly and more economically profitable. The volume focuses on the use of smart sensors, actuators, and decision support systems to provide intelligent data about crop health and for monitoring for yield prediction, soil quality, nutrition requirement prediction, etc. The authors discuss robotic-based innovations in agriculture, soft computing methodologies for crop forecasting, machine learning techniques to classify and identify plant diseases, deep convolutional neural networks for recognizing nutrient deficiencies, and more.
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Information
Table of contents
- Cover Page
- Half Title page
- Title Page
- Copyright Page
- Series Page
- About the Editors
- Contents
- Dedication
- Contributors
- Abbreviations
- Acknowledgment
- Preface
- Part 1: Al in Agriculture
- Part 2: Robotic-Based Innovations in Agriculture
- Part 3: Intelligent Computing in Agriculture
- Part 4: IoT in Agriculture
- Index