Affiliation:
1. Mechanical Engineering, Muthayammal Engineering College, India
Abstract
Water scarcity and poor quality are major challenges in agriculture, affecting crop growth and food security. IoT and AI techniques are being explored for sustainable development, including water management, precision irrigation, and data analytics. IoT sensors collect real-time data, while AI algorithms predict availability and optimize irrigation schedules. Precision irrigation improves water use efficiency and productivity by utilizing data analytics and clustering algorithms. IoT and AI in agriculture offer economic benefits like increased crop yields, water savings, and sustainable practices. However, initial investment costs, social acceptance, and policy considerations hinder widespread adoption. Future directions should focus on scaling, collaboration, investment, customizable solutions, farmer-to-farmer knowledge transfer, and research funding. Addressing data privacy, security, and connectivity concerns is crucial for trust and confidence among stakeholders.
Reference57 articles.
1. Environmental Tracking System using IoT Based WSN: Smart Agriculture
2. Congestion Control in Cognitive IoT-Based WSN Network for Smart Agriculture
3. Anitha, C., Komala, C., Vivekanand, C. V., Lalitha, S., & Boopathi, S. (2023). Artificial Intelligence driven security model for Internet of Medical Things (IoMT). IEEE Explore, 1–7.
4. Bikash Chandra Saha, M. S., Deepa, R., Akila, A., & Sai Thrinath, B. V. (2022). IOT based smart energy meter for smart grid. Academic Press.
5. Boopathi, S. (2021). Pollution monitoring and notification: Water pollution monitoring and notification using intelligent RC boat. Academic Press.
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