Automation and AI in Precision Agriculture: Innovations for Enhanced Crop Management and Sustainability

Azmirul Hoque, Mrutyunjay Padhiary · 2024 · Asian Journal of Research in Computer Science

Summary. AI and automation technologies in precision agriculture significantly improve crop monitoring, resource efficiency, and yields. Drones, autonomous tractors, AI-driven irrigation, and predictive analytics increase crop health assessment accuracy by 30–50 percent, boost yields by 5–15 percent while reducing water and fertilizer use by 25–40 percent, and cut labor costs by 20–40 percent. However, scalability, affordability for small farms, and data privacy remain barriers. Future integration of 5G, blockchain, and edge computing could enhance decision-making and transparency.

Read the original

@article{hoque-2024-automation-ai-precision-agriculture-innovations,
  title   = {Automation and AI in Precision Agriculture: Innovations for Enhanced Crop Management and Sustainability},
  author  = {Azmirul Hoque and Mrutyunjay Padhiary},
  journal = {Asian Journal of Research in Computer Science},
  year    = {2024},
  doi     = {10.9734/ajrcos/2024/v17i10512},
  url     = {https://doi.org/10.9734/ajrcos/2024/v17i10512}
}

TY  - JOUR
TI  - Automation and AI in Precision Agriculture: Innovations for Enhanced Crop Management and Sustainability
AU  - Azmirul Hoque
AU  - Mrutyunjay Padhiary
JO  - Asian Journal of Research in Computer Science
PY  - 2024
DO  - 10.9734/ajrcos/2024/v17i10512
UR  - https://doi.org/10.9734/ajrcos/2024/v17i10512
ER  - 

Details

DOI

10.9734/ajrcos/2024/v17i10512

Countries

India

Regions

Asia

Categories

agtech, climate-and-environment, food-systems

Added

2026-04-28