Editors: Praveen Kumar Shukla, Tushar Kanti Bera

Future Farming: Advancing Agriculture with Artificial Intelligence

eBook: US $39 Special Offer (PDF + Printed Copy): US $66
Printed Copy: US $47
Library License: US $156
ISBN: 978-981-5124-73-6 (Print)
ISBN: 978-981-5124-72-9 (Online)
Year of Publication: 2023
DOI: 10.2174/97898151247291230101


Artificial Intelligence is playing a vital role in implementing the smart methods for the agriculture and it will change the aspects of performing agricultural activities. The objective of this book is to inform readers about how artificial intelligence is improving agriculture by exploring its applications. The book addresses several aspects of the artificial intelligence applications in the smart agriculture including, pest control, leaf disease identification, identification of weed, field security and applications of drones in smart farming. Chapters are contributed by experts in agriculture, computer science and biotechnology.

Key Themes:

  • - Advanced machine learning techniques for pest control and disease identification
  • - Automated recognition and classification of plant diseases, focusing on tomatoes and pearl millet
  • - Integration of artificial intelligence for solar-powered robots to identify weeds and damages in vegetables
  • - Development of field prevention systems to deter wild animals in farming areas
  • - Utilization of machine learning for weather forecasting to facilitate smart agriculture practices
  • - Intelligent crop planning and precision farming through AI applications
  • - Integration of artificial intelligence and drones to enhance efficiency and effectiveness in smart farming operations

Other features of the book include a list of references and simple summaries in each chapter to distil the information for readers. The book is a reference material for courses on automation in agriculture and as a handbook for anyone interested in new advances in farming.

Readership Students and trainees in agriculture automation; researchers, general readers and enthusiasts in AI applications and farming.


It gives me immense pleasure to introduce the book “Future Farming: Advancing Agriculture with Artificial Intelligence” edited by Dr. Praveen Kumar Shukla, Department of Computer Science & Engineering, School of Engineering, Babu Banarasi Das University, Lucknow, India and Dr. Tushar Kanti Bera, Department of Electrical Engineering, National Institute of Technology, Durgapur, India. I appreciate the sincere efforts of the editors and authors of the book in framing the content on the most recent and promising area of smart agriculture.

The application of technology-driven solutions in the implementation of agricultural activities is a key concern in the agriculture sector nowadays. Basically, it is one of the most effective ways of raising agricultural production and subsequently fulfilling the food requirements in society. Artificial Intelligence, the Internet of Things (IoT), Robotics, Drones, Sensors, Telecommunications, Data Analytics, Satellite, Geo-positioning Systems, Unmanned Aerial Vehicles, etc. are the most promising technologies being utilized in smart agriculture. The implementation of smart agriculture is helping farmers by automating agricultural activities, i.e. monitoring of crop health, prediction of crop yield, variable rate irrigation, precise use of fertilizers, diagnosis and curing the crop diseases.

Although there are many advantages of applying technology in the agricultural activities, but its adoption in society is still facing problems. The reasons may be of social acceptance and lack of awareness, lack of light weight intelligent algorithms for precise decision making, data and quality of data for real time decision making, financial issues, security concerns for the deployed systems, etc.

I feel that this book will be an outstanding contribution to the researchers working in the area of smart and precision agriculture.

Vrijendra Singh
Department of Information Technology,
Indian Institute of Information Technology Allahabad Prayagraj,