Artificial Intelligence and Computer Vision Technologies for Ecological Informatics

Ecological informatics or more commonly known as Ecoinformatics is the study of environmental sciences and ecological information. It is an emerging interdisciplinary framework for the management, analysis, and synthesis of the ecological data with the help of advanced computational intelligence algorithms. Where management in this context is data acquisition, preprocessing, and sharing the data. Analysis and synthesis are the process of extracting useful information and forecasting with the help of intelligent algorithms. The aim of this book is to encapsulate concepts and theories of artificial intelligence and computer vision algorithms used for the evaluation of various ecological informatics applications. It focuses on soft computing, machine learning, deep learning, artificial intelligence, bio-inspired algorithms, data analysis tools, data visualization tools, and computer vision algorithms used in ecological informatics. The book covers remote sensing applications, water bodies evaluation, agriculture mapping, aquatic mapping, forest management, terrestrial ecosystem among all. The book will be useful to students, researchers, scientist, and field experts in directing their work towards this domain and deliver/design models/prototypes useful for the beneficial of society and environment.