IoT Based Irrigation Management System For Smart Farming Applications
Agriculture is one of the main resources of the profession in India and plays an important role in contributing GDP to 4%. Effective addressing of food loss and waste is important in securing food and nutrition, meeting climate goals and reducing environmental strain. The adoption of smart farming serves as an effective practice to guarantee food production and safeguard the environment. It is important to develop and implement smart farming technologies to meet food demands and improve the livelihoods of farmers sustainably. In agriculture, using Internet of Things (IoT) technology has made farming more efficient and sustainable. Smart farming, which relies on IoT, is a big change from old-fashioned farming methods to using data for precision farming. This change is made possible by putting sensors, data analysis tools, and actuators on farms. These tools help farmers monitor their farms in real-time, analyse data, and make better decisions. By using IoT, farmers can use resources better, reduce risks, and produce more food, which is important for feeding the world while dealing with environmental challenges. IoT-based smart farming brings many benefits to farming. For example, using sensors to measure soil moisture, temperature, and nutrients gives farmers great insights into their crops and the environment. Automated irrigation systems, guided by data, can water the crops precisely, reducing waste and improving yields. Similarly, IoT tools can help farmers track their animals’ health, behaviour, and productivity in real-time, making it easier to manage farms and increase efficiency. In this paper, an attempt is made to envisage farm monitoring system and the water scarcity issue to deal with the optimised use of scarce resources such as water for irrigation by allowing the system to take the decision on its own with minimal human interventions.
Authors
- B. S. Vinay
- Vipin Kamble (ORCID: https://orcid.org/0000-0002-9563-9514)
- Parul Sahare (ORCID: https://orcid.org/0000-0002-9342-1159)
- Vishal R. Satpute (ORCID: https://orcid.org/0000-0001-9944-9489)
- Naveen Cheggoju (ORCID: https://orcid.org/0000-0002-4734-9344)
- P.V.V Nikhilesh
Institutions
- Visvesvaraya National Institute of Technology (IN)
- Indian Institute of Information Technology Una (IN)
- Indian Institute of Information Technology, Nagpur (IN)
Publication Details
- Published
- 2024-12-06
- DOI
- https://doi.org/10.1109/ihcsp63227.2024.10960076
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00