M. Sakthivel, M. Radhakrishnan
Automation in agriculture is gaining more importance among the farmers as it lessens their workload in many ways, resulting in a higher output and fewer human resources being used intervention. The main challenge in the agriculture sector is improving farming efficiency and quality without constant physical monitoring to full fill the speedily increasing demand for the food. In addition to the growing population, the climate circumstance is also a huge challenge in the agricultural industry. The aim of this research paper is to provide a smart farming model based on the Internet of Things using clustering to deal with adverse conditions. In this model, we use many types of sensors for various purposes, such as soil moisture, air pressure, rain detection, and humidity sensors. The data will be gathered and automatically calculated on the cloud. The smart agriculture sector can be adopted from crop control, collection of useful data, and analysis automatically. The goal of this study is to show how the Internet of Things (IoT) may be used to monitor climate, soil conditions, humidity, temperature, and water delivery to fields. The main purpose of this paper proposes a cost-effective smart irrigation technique, which helps in saving the extra water flowing in the land. This extra water can be saved in a separate water storage tank, which can be utilized for multiple purposes. The proposed solution involves very fewer components, which reduces the complexity of the system, and it is very cost effective and the IoT based Smart Farming System being planned using this report, various sensors and a Wi-Fi module are linked to produce a live data feed that can be accessed online.
Arduino, Sensors, Wi-Fi Module, Automation, Intelligent Controller, Smart Irrigation
Cite this paper
M. Sakthivel, M. Radhakrishnan. (2022) Smart Farming System with Reverse Water Control Technique. International Journal of Environmental Science, 7, 190-197