STM Journals Peer-reviewed research from Consortium e-Learning Network

Research & Reviews : Journal of Agricultural Science and Technology Review Article

IoT Integration in Sustainable Agriculture

  1. Rohit Birdawade Computer Engineering Department, Rajgad Dnyanpeeth;s Shree Chhatrapati Shivajiraje College of Engineering
  2. Shreya Bhosale Computer Engineering Department, Rajgad Dnyanpeeth;s Shree Chhatrapati Shivajiraje College of Engineering
  3. Deepak Khaladkar Electronics and Telecommunication Engineering, Rajgad Dnyanpeeth "s Shree Chhatrapati Shivajiraje College of Engineering
  4. Shivanjali Dhumal Electronics and Telecommunication Engineering, Rajgad Dnyanpeeth "s Shree Chhatrapati Shivajiraje College of Engineering
  5. Priyanka Mankar Electronics and Telecommunication Engineering, Rajgad Dnyanpeeth "s Shree Chhatrapati Shivajiraje College of Engineering
  6. S. B. Patil Rajgad Dnyanpeeth's:Shree Chhatrapati Shivajiraje College of Engineering,

Abstract

The increasing demand for food production, environmental concerns, and resource limitations have necessitated the adoption of Internet of Things (IoT)-based innovative farming solutions. The current paper introduces an IoT-based system that integrates hydroponics, aquaponics, and poultry to promote sustainability, resource utilization, and agricultural productivity. Conventional farming practices are riddled with ineffective use of resources, uncertain environmental effects, and expensive operations. The new system facilitates real-time monitoring, automated decision support, and precision agriculture through IoT sensors, cloud computing, and AI-based analytics. The system uses IoT-enabled sensors to monitor critical parameters like soil moisture, pH, electrical conductivity (EC), temperature, humidity, CO₂, ammonia levels, and water quality in hydroponic, aquaponic, and poultry conditions. The data gathered is processed on cloud computing platforms like ThingSpeak and AWS IoT, wherein AI-driven models scan environmental patterns, predict crop health, and streamline feeding and irrigation timetables. Computerized irrigation, climate control, and animal husbandry systems respond in real-time to up-to-date information, cutting down on human labor, conserving resources, and improving efficiency. The proposed impact is an increased utilization of resources, added agricultural output, a lower environmental footprint, and better food safety. Integrating IoT-based automation and AI-predictive analysis enables the proposed system to enable precision farming techniques to undertake sustainable and eco-friendly agricultural practices. The evidence suggests that integrating IoT with hydroponic, aquaponic, and poultry farming systems provides an affordable and expandable solution to new smart agriculture. Future advancements in edge computing and blockchain-based data security will further strengthen the reliability and adoption of IoT-driven sustainable farming.

Keywords

References (15)

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