Assessing the Attitude of Farmers towards Artificial Intelligence in Agriculture
Asian Journal of Agricultural Extension, Economics & Sociology · pp. 59–63 · Published 24 Jul 2024
10.9734/ajaees/2024/v42i72516Abstract
Digital technology innovations, particularly in artificial intelligence (AI), have the potential to significantly benefit agriculture. Agriculture is increasingly being held accountable for ensuring food security and safety while also taking into account environmental concerns. AI in the agricultural sector has the potential to feed a continuously growing global population while also contributing to achieving the UN's Sustainable Development Goals (SDGs). This was the right time to analyse and explore the artificial intelligence in agriculture. The present study was conducted in Dindigul district of Tamil Nadu. The findings indicated that farmers had moderately favourable level of attitude towards AI in agriculture. Farmers had positive attitude towards AI in agriculture because AI-enabled systems make weather predictions, monitor agricultural sustainability, and assess farms for the presence of diseases or pests and undernourished plants using data like temperature, precipitation, wind speed, and sun radiation in conjunction with photographs taken by satellites and drones.
Cited by 2
M. Jameel, M. Saeed, SA Sher · Journal of Life and Social Sciences · 2026
Ranjan Sapkota, Rizwan Qureshi, M. U. Hadi · IEEE Transactions on Automation Science and Engineering · 2025
Related research
- The Impact/Role of Artificial Intelligence in Anesthesia: Remote Pre-Operative Assessment and Perioperative — shares topic coverage
- Detecting Dental Caries through Captured Images Using the Machine Learning Technology Teachable Machine — shares topic coverage
- Harnessing Artificial Intelligence in Healthcare Analytics: From Diagnosis to Treatment Optimization — shares topic coverage
- Diagnostic Accuracy of Artificial Intelligence for Breast Cancer Detection: A Systematic Review — shares topic coverage
- Artificial Intelligence in the Analysis of the Fetal Genome in Utero: A Critical Review of Current Paradigms, Clinical Utility and Future Horizons — shares topic coverage
Article metrics
Real usage data collected on this platform.
29
Page views
0
PDF downloads
3
Outbound clicks
2
Citations
Views over time
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
Traffic sources
Referring site, by host.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.