Sustainable Smart Agriculture Advisor through Artificial Intelligence Approach
Agriculture, constituting the backbone of India's economy and employing 70% of its population, faces critical challenges such as water scarcity, soil degradation, and unpredictable crop yields. Traditional farming methods lack efficiency, contributing to environmental impact and resource inefficiency. To address these issues on smart crop cultivation with artificial intelligence enabled crop advisor sustainable agriculture generation integrates machine learning and data analytic to offer real-time insights and recommendations. This advanced agricultural approach aims to optimize resource utilization, minimize environmental impact, and adapt to changing climatic conditions. By empowering farmers with actionable insights, Smart Crop seeks to revolutionize agriculture, promoting sustainable practices for increased resource efficiency and enhanced resilience against challenges like limited precision farming, climate variability, and yield maximization. This innovative solution endeavors to bridge the gap between traditional farming methods and modern challenges, fostering a more sustainable and productive future for Indian agriculture. The methods analyzed leads to promising results as compared with well known metrics.
Authors
- Vinay Kukreja (ORCID: https://orcid.org/0000-0002-9760-0824)
- N. Venkateswaran
- Pogula Srivani
- Shanmugasundaram Hariharan (ORCID: https://orcid.org/0000-0001-9686-4329)
- Sreenivasulu Gogula (ORCID: https://orcid.org/0000-0001-8939-3303)
- P Jose
Institutions
- Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN)
- Chitkara University (IN)
Publication Details
- Published
- 2024-09-20
- DOI
- https://doi.org/10.1109/icdscnc62492.2024.10939809
- Primary Topic
- Impact of AI and Big Data on Business and Society
- Type
- article
- Field-Weighted Citation Impact
- 0.00