editedbook
ARTIFICIAL INTELLIGENCE – A MULTI-DIMENSIONAL APPROACH TO SMART FARMING
Area/Stream: Agriculture Engineering & Food Sciences,
Authors: Jagriti Patel, Jyoti Bala
Keywords: AI, Artificial intelligence, Smart agriculture, Smart farming, Agricultural robotics, AI in soil sciences"
Book Name /series: Futuristic Trends in Agriculture Engineering & Food Sciences, Volume 2, Book 9, Chapter 26
Publication: IIP Proceedings
Year: 2022,
Month: November
Page No: 347-361,
ISSN/ISBN: 978-93-95632-65-2,
DOI/Link: https://www.rsquarel.org/assets/docupload/rsl202335DE2BE17D9D9DD.pdf
Abstract:
A sustainable and secure food supply is a challenge in this changing world with rapid population growth, which is estimated to reach 9 billion people in 2050. However, due to climate change and other factors like limited land resources, the agriculture industry is facing a number of challenges and obstacles in terms of increasing and diversifying production. The farmers' traditional methods were unable to meet these demands. This led to the introduction of new automated techniques. These innovative techniques have the potential to supply the world's food needs while simultaneously giving billions of people access to jobs. The introduction of artificial intelligence to agriculture has revolutionised the whole sector. It can also bring about a paradigm shift in how we see farming today. Artificial intelligence applications in agriculture include automated irrigation, weeding, and spraying using sensors and other tools built into robots and drones. These technologies reduce the overuse of water, pesticides, and herbicides, thereby preserving soil fertility, assisting in the effective use of human resources, increasing output, and enhancing product quality. Hence, artificial intelligence is not a static sector but a dynamic one, opening new doors of research and innovation in the agriculture sector every day.
Cite this: Jagriti Patel, Jyoti Bala,"ARTIFICIAL INTELLIGENCE – A MULTI-DIMENSIONAL APPROACH TO SMART FARMING", Futuristic Trends in Agriculture Engineering & Food Sciences, Volume 2, Book 9, Chapter 26, November, 2022, 347-361, 978-93-95632-65-2, https://www.rsquarel.org/assets/docupload/rsl202335DE2BE17D9D9DD.pdf