Agricultural Informatics: Automation Using the IoT and Machine Learning

Agricultural Informatics: Automation Using the IoT and Machine Learning
PDF, ePUB
  • eBook:
    Agricultural Informatics: Automation Using the IoT and Machine Learning
  • Author:
    Amitava Choudhury, Arindam Biswas, Manish Prateek, Amlan Chakrabarti
  • Edition:
    1 edition
  • Categories:
  • Data:
    April 6, 2021
  • ISBN:
    1119768845
  • ISBN-13:
    9781119768845
  • Language:
    English
  • Pages:
    304 pages
  • Format:
    PDF, ePUB

Book Description
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.

Content

1. A Study on Various Machine Learning Algorithms and Their Role in Agriculture
2. Smart Farming Using Machine Learning and IoT
3. Agricultural Informatics vis-à-vis Internet of Things (IoT): The Scenario, Applications and Academic Aspects—International Trend & Indian Possibilities
4. Application of Agricultural Drones and IoT to Understand Food Supply Chain During Post COVID-19
5. IoT and Machine Learning-Based Approaches for Real Time Environment Parameters Monitoring in Agriculture: An Empirical Review
6. Deep Neural Network-Based Multi-Class Image Classification for Plant Diseases
7. Deep Residual Neural Network for Plant Seedling Image Classification
8. Development of IoT-Based Smart Security and Monitoring Devices for Agriculture
9. An Integrated Application of IoT-Based WSN in the Field of Indian Agriculture System Using Hybrid Optimization Technique and Machine Learning
10. Decryption and Design of a Multicopter Unmanned Aerial Vehicle (UAV) for Heavy Lift Agricultural Operations
11. IoT-Enabled Agricultural System Application, Challenges and Security Issues
12. Plane Region Step Farming, Animal and Pest Attack Control Using Internet of Things

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