Editors: S. Gowrishankar, Hamidah Ibrahim , A. Veena, K.P. Asha Rani , A.H. Srinivasa

Data Science for Agricultural Innovation and Productivity

eBook: US $49 Special Offer (PDF + Printed Copy): US $95
Printed Copy: US $70
Library License: US $196
ISBN: 978-981-5196-18-4 (Print)
ISBN: 978-981-5196-17-7 (Online)
Year of Publication: 2024
DOI: 10.2174/97898151961771240101


Data Science for Agricultural Innovation and Productivity explores the transformation of agriculture through data-driven practices. This comprehensive book delves into the intersection of data science and farming, offering insights into the potential of big data analytics, machine learning, and IoT integration.

Readers will find a wide range of topics covered in 10 chapters, including smart farming, AI applications, hydroponics, and robotics. Expert contributors, including researchers, practitioners, and academics in the fields of data science and agriculture, share their knowledge to provide readers with up-to-date insights and practical applications. The interdisciplinary emphasis of the book gives a well-rounded view of the subject.

With real-world examples and case studies, this book demonstrates how data science is being successfully applied in agriculture, inspiring readers to explore new possibilities and contribute to the ongoing transformation of the agricultural sector. Sustainability and future outlook are the key themes, as the book explores how data science can promote environmentally conscious agricultural practices while addressing global food security concerns.

Key Features:
  • - Focus on data-driven agricultural practices
  • - Comprehensive coverage of modern farming topics with an interdisciplinary perspective
  • - Expert insights
  • - Sustainability and future outlook
  • - Highlights practical applications

Data Science for Agricultural Innovation and Productivity is an essential resource for researchers, data scientists, farmers, agricultural technologists, students, educators, and anyone with an interest in the future of farming through data-driven agriculture.


Researchers, data scientists, farmers, agricultural technologists, students, educators, and general readers.


Agriculture, which contributes 15.4% to the GDP of India, was the foundation on which we built our nation and this has undergone several development phases. Agriculture is the practice of growing the food and cash crops that humans need, and its techniques and technology have advanced quickly. The selection of farming methods depends on climate, terrain, traditions, and the financial condition of the farmer. Depending on the exposure to technology, the availability of land, capital, and skilled labor, the aforementioned techniques can be used in large-scale or small-scale farming.

Each crop needs different growth conditions, differing harvesting seasons, and distinct attention. It is hard to deny the common techniques of agriculture that farmers across the world use. These include ploughing, the use of modern machinery, fertilizers, various types of seeds, etc. But looming on the horizon is India’s population boom, which is set to rise to 1.515 billion by 2030 from 1.417 billion in 2022. This has increased pressure on the agriculture sector.

The full potential of agricultural innovation has to be fully realised in many emerging nations. Understanding and implementing the innovation drivers and procedures that are essential for realising innovation's potential and sparking it are the keys to success. Unfortunately, the cost of the agricultural cycle, beginning from the preparation of soil to the selling of the produce, has ratcheted up, along with the risks. As this book shows, relevancy in information is key and keeping track of crops, the environment and the market may help farmers to make better decisions and ease problems related to agriculture. Technologies like IoT, Machine learning, deep learning, hydroponics, and smart farming can attain information and process it. The authors of this book present a powerful argument for the application and implementation of such aforementioned technologies that will surely help alleviate many challenges we currently face, if not outsec prevent it.

Sharath Malve
Technology Expert
Hewlett Packard Enterprise
Bengaluru, Karnataka, India