AAP Research Notes on Optimization and Decision Making Theories Precision Agriculture for Sustainability

Covers digital technological intervention for precision agriculture for sustainable development. It delves into how modern technologies i.e., GPS, image processing, artificial intelligence, machine learning, Internet of Things, and deep learning are being used in agriculture to make it more farmer-friendly and economically profitable. 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.