Elctrical Engineering

Involvement of Machine Learning, Real-time Data Analysis and IOT are critically contributing factors in contemporary technical scenarios. Utilization of these three technologies can play a major role in the success of farming thereby modernizing the irrigation system. This paper is focused on the Smart Irrigation System which draws a lot from real-time data analysis, IOT and Machine Leaning. It also presents a study of a system that processes real time data and takes decision about to what extent the field needs to be irrigated. In this way water is saved, its misuse regulated and can be restored for future use if required. Here we rely on cloud data and some other agri-factors which help in decision making.  The Smart Irrigation System discussed here shall also regulate the use of underground water my incorporating IOT and weather forecast. The system will also contribute to effective irrigation taking in view the contemporary weather conditions and the requirement of water in the ...

The solar systems are an intense need to full fill the energy requirement of developing countries like India. Where, thermal and photovoltaic are the two methods to utilize the solar energy directly from sun. In these methods solar equipments (e.g. flat plat collector and Photovoltaic panel) are kept in tilted position for absorbing maximum solar flux. Hence, finding the optimum tilt angle is the problem of optimization. Therefore, in this paper model driven optimization approach such as particle swarm optimization (PSO) estimator has been proposed to find optimum tilt angle and its results are compared with analytical results. A novel cost function has been applied to determine periodical optimum tilt angle. To validate the performance of PSO estimator results, statistical analysis study is carried out. Where, three statistical approaches such as descriptive method, direct method and Altman-Bland methods are adopted. The PSO estimator results are found satisfactory to ANA results at 95% confidence interval under statistical study.

Electrical Conductivity is a very quick, simple and inexpensive method that farmers and home gardeners can use to check the health of their soils. Whereas pH is a good indicator of the balance of available nutrients in your soil, Electrical Conductivity can almost be viewed as the quantity of available nutrients in your soil.

This paper is intended as an overview of automation of gates of water reservoir. Water reservoir are crucial to country's economy as they are the resources of power generation, irrigation, water conservation and so on. This paper is focused on automation the gates of water reservoir and controlling variable parameters like level and flow of water with real time implementation using programmable logic controller. In this paper, a programmable logic controller is act as an industrial computer, playing role of a control device and level sensors provide incoming signals to the control unit. The prototype model is provided with five levels and depending on the level sensor outputs, ladder logic is actuated. This work uses PLC of Semeins-Simatic S7300 with 32 digital I/O and 8 analog I/O.