Importance of Smart Agriculture and Use of Artificial Intelligence in Shaping the Future of Agriculture

Chanda Thapliyal Nautiyal

Department of Higher Education Uttarakhand-248001, India.

Pankaj Nautiyal *

Krishi Vigyan Kendra (ICAR-CSSRI), Hardoi-II, UP- 241203, India.

Gaurav Papnai

Krishi Vigyan Kendra (ICAR-IARI), Gurugram, Haryana-122004, India.

Harsh Mittal

Department of Plant Pathology, SHUAT, Prayagraj, UP-211007, India.

Khusboo Agrawal

Texas Tech University, Lubbock, TX 79409, Texas, USA.

Shivani

Department of Agronomy, DIBNS, Dehradun, Uttarakhand-248001, India.

Vishesh

Department of Agronomy, SGRR University, Dehradun, Uttarakhand-248001, India.

Raj Nandini

Department of ARTD, RKMVERI, Ranchi, Jharkhand-834008, India.

*Author to whom correspondence should be addressed.


Abstract

India, the second-most populated country globally with 1.4 billion people, faces significant challenges in its agriculture sector, including the need to feed a growing global population, mitigate climate change impacts, and ensure sustainable resource management. To address these challenges, innovative techniques and advanced technologies are required. Modern farming techniques, coupled with artificial intelligence (A.I.), offer promising solutions. Technologies such as drones, biotechnology, genetics, and precision farming can enhance efficiency, productivity, and sustainability. Implementing these approaches can lead to a fiftyfold increase in yield and a 50% reduction in manpower, contributing to increased crop yields, reduced water usage, minimized chemical applications, and improved labor efficiency. Smart agriculture holds the potential to revolutionize the industry, significantly contributing to global food security and the preservation of natural resources.

Keywords: Precision, drones, smart agriculture, robotics, regenerative


How to Cite

Nautiyal , C. T., Nautiyal , P., Papnai , G., Mittal , H., Agrawal , K., Shivani, Vishesh, & Nandini , R. (2024). Importance of Smart Agriculture and Use of Artificial Intelligence in Shaping the Future of Agriculture. Journal of Scientific Research and Reports, 30(3), 129–138. https://doi.org/10.9734/jsrr/2024/v30i31864

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