Despite the increasing population (the Food and Agriculture Organization of the United Nations estimates 70% more food will be needed in 2050 than was produced in 2006), issues related to food production have yet to be completely addressed. In recent years, Internet of Things technology has begun to be used to address different industrial and technical challenges to meet this growing need. These Agro-IoT tools boost productivity and minimize the pitfalls of traditional farming, which is the backbone of the world's economy. Aided by the IoT, continuous monitoring of fields provides useful and critical information to farmers, ushering in a new era in farming. The IoT can be used as a tool to combat climate change through greenhouse automation; monitor and manage water, soil and crops; increase productivity; control insecticides/pesticides; detect plant diseases; increase the rate of crop sales; cattle monitoring etc. Agricultural Informatics: Automation Using the IoT and Machine Learning focuses on all these topics, including a few case studies, and they give a clear indication as to why these techniques should now be widely adopted by the agriculture and farming industries.

The book will provide the basic and fundamental knowledge of understanding the concepts of Bioinformatics

Despite the increasing population (the Food and Agriculture Organization of the United Nations estimates 70% more food will be needed in 2050 than was produced in 2006), issues related to food production have yet to be completely addressed. In recent years, Internet of Things technology has begun to be used to address different industrial and technical challenges to meet this growing need. These Agro-IoT tools boost productivity and minimize the pitfalls of traditional farming, which is the backbone of the world's economy. Aided by the IoT, continuous monitoring of fields provides useful and critical information to farmers, ushering in a new era in farming. The IoT can be used as a tool to combat climate change through greenhouse automation; monitor and manage water, soil and crops; increase productivity; control insecticides/pesticides; detect plant diseases; increase the rate of crop sales; cattle monitoring etc. Agricultural Informatics: Automation Using the IoT and Machine Learning focuses on all these topics, including a few case studies, and they give a clear indication as to why these techniques should now be widely adopted by the agriculture and farming industries.

In recent years, the role of information and communications technologies in the development of agriculture and environmental issues has received significant attention in different types of international forums. With new technologies constantly developing, there is a need for research dedicated to technological progress. Innovations and Trends in Environmental and Agricultural Informatics provides emerging research on the design, development, and implementation of complex agricultural and environmental information systems, addressing the integration of several scientific domains including agronomy, mathematics, economics, and computer science. While highlighting topics such as image quality assessment, environmental policy, and supervised classification, this publication explores the applications and progress of various technologies within agricultural and environmental professions. This book is an important resource for researchers, professionals, academics, students, and scientists seeking current research on the rapidly evolving field of technology integration in agricultural production and environmental issues.

Throughout the Year of Excellence 2023, Digital FAO has redoubled its efforts to upscale the Organization's digital capabilities, capacity -building and advisory services needed to enable and accelerate targeted interventions with actionable and concrete results worldwide, leaving no one behind. Digital technology is at the nexus of multiple Sustainable Development Goals (SDGs), including the eradication of poverty, climate action and environmental protection, ending hunger, and improving nutrition and access to healthy diets. In this light, this publication highlights FAO strong digital cooperation, as well as the significant developments in the technology domain, with further acceleration of digital transformation globally, including a strong focus on agrifood systems. It aims to provide further insights into the strategic direction, achievements and efforts of Digital FAO, with the overall objective to achieve FAO four betters and the Sustainable Development Goals at their largest.

"This book examines the design, development, and implementation of complex agricultural and environmental information systems to quickly process and access environmental data in order to make informed decisions for the protection of the environment"--