Agricultural Informatics
Agricultural Informatics

Author: Amitava Choudhury

Publisher: John Wiley & Sons

Published: 2021-03-02

Total Pages: 304

ISBN-13: 1119769213

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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.

Agricultural Informatics
Agricultural Informatics

Author: Amitava Choudhury

Publisher: John Wiley & Sons

Published: 2021-04-06

Total Pages: 304

ISBN-13: 1119768845

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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.

Environmental and Agricultural Informatics
Environmental and Agricultural Informatics

Author: Information Resources Management Association

Publisher: Engineering Science Reference

Published: 2019-08-02

Total Pages: 0

ISBN-13: 9781522596219

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"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"--

Agricultural and Environmental Informatics, Governance and Management
Agricultural and Environmental Informatics, Governance and Management

Author: Zacharoula Andreopoulou

Publisher: IGI Global

Published: 2011

Total Pages: 0

ISBN-13: 9781609606213

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"This book is a state-of-the-art reference book that explores how rural policymakers and stakeholders can use information and communication technologies to sustainably manage agricultural and natural resources"--Provided by publisher.

Agro-Informatics
Agro-Informatics

Author: G. Vanitha

Publisher: New India Publishing Agency- Nipa

Published: 2023-02-11

Total Pages: 0

ISBN-13: 9788196089368

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

Management of Data in AI Age
Management of Data in AI Age

Author: Amandeep Kaur

Publisher: CSMFL Publications

Published: 2020-10-10

Total Pages: 120

ISBN-13: 8194848350

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This book is a compilation of contributed works on management of data in the age of artificial intelligence. The AI technologies have changed the way the businesses do manage themselves in modern times. It becomes much more important to manage the data a business owns when the same can be collated and used by the allied AI technologies for forming business decisions. This book highlights how AI and machine learning can help businesses categorise and manage their organizational data. The book introduces how small businesses can benefit from AI technologies for their data management with limited budgets. The book advocates for making AI processes to be core part of consumer experience and support management within the businesses. As a unique feature, this book also goes to make an awareness as to how human brain can use AI’s deep learning capabilities to make reflective decisions. The book also introduces as to how big data and big data analytics can help agriculture and farm management sector. It is hoped that the readership will find this book useful in the areas of big data management, machine learning and data decisions, AI technologies for small businesses, usage of AI in emerging sectors and those areas where data needs to managed in an environment of automation.

Empirical Analyses on Rice Yield Determinants of Smart Farming in Japan
Empirical Analyses on Rice Yield Determinants of Smart Farming in Japan

Author: Dongpo Li

Publisher: Springer Nature

Published: 2021-02-13

Total Pages: 170

ISBN-13: 9813362561

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This book consists of the major findings of the series projects on smart rice farming in Japan, headed by President of the Society of Agricultural Informatics. It is the gateway to know the paddy agriculture, by incorporating the findings of series national projects. The scenario includes soil analysis, growth investigation, environmental observation of air temperature, water temperature, water depth, cultivation and management records, yield, and quality analysis. In addition to the analysis of this large database, it showcases the new generation large-scale rice farming technology system, integrated with agri-machineries, field sensors, visualized farming, and skill-transferring system. This book presents an analytical framework of big data in agriculture and shows the empirical results for rice farm innovation. The authors want to have the pleasure to contribute the agricultural innovations of adopting smart technologies and empirical studies, in countries no matter far or near to Japan. The authors also hope this book conveys the innovative and elaborate sprites of smart agriculture to the next generation and is of interest to students with curiosity on agriculture, smart technology, and empirical study.