Application of IoT and Cloud Computing in Automation of Agriculture Irrigation

Abstract

All living things, including plants, animals, and humans, need water in order to live. Even though the world has a lot of water, only about 1% of it is fresh and usable. As the population has grown and water has been used more, fresh water has become a more valuable and important resource. Agriculture uses more than 70% of the world’s fresh water. People who work in agriculture are not only the world’s biggest water users by volume, but also the least valuable, least efficient, and most subsidized water users. Technology like smart irrigation systems must be used to make agricultural irrigation more efficient so that more water is used. A system like this can be very precise, but it needs information about the soil and the weather in the area where it is going to be used. This paper analyzes a smart irrigation system that is based on the Internet of Things and a cloud-based architecture. This system is designed to measure soil moisture and humidity and then process this data in the cloud using a variety of machine learning techniques. Farmers are given the correct information about water content rules. Farming can use less water if they use smart irrigation.

GPS Receiver Position Estimation and DOP Analysis Using a New Form of the Observation Matrix Approximations

“…In this article, GPS input data is taken from all satellite vehicles which are in view with respect to the GPS receiver. Due to page limitations, see [10,13,[21][22][23][24][25][26], and [27] for a detailed explanation of all DOP parameters and their calculation formulas. But, the GDOP calculation formula is given in equation ( 1).…”

“…The comparative results reveal that, the RMS error in position due to the application of H is lesser than the RMS mean position error due H as shown in Figure 6. Thus, H improves the precision in the estimation of 3D position [22,25,[28][29][30][31][32][33][34][35][36]. The convergence rate of both proposed and existing observation matrices in terms of the number of iterations is given in Figure 7.…”

“…The remaining part of this manuscript are ordered as follows. The derivation of the proposed observation matrix has been discussed in the second section [19][20][21][22][23]. The third section presents experimental results and applications [24][25][26].…”

A Review on Frequency Stability Enhancement and Effective Energy Storage through Various Optimization Techniques

“…Also, HESS is concerned with determining the impact of WECS power variations on the duration of the battery throughout a charging cycle [30]. Moreover, this research contributes to how FACTS devices (TCSC) and energy storage (SMES) can work together to alleviate oscillatory conditions on the power system induced by load fluctuations utilizing one of the intelligent strategies known as PSO [9,10]. A new design framework for system frequency regulation using HESS (coupled battery and SC) is presented as shown in Figure 1 [48].…”

Low-Cost Home Security Notification System Using IoT and Telegram Bot: A Design and Implementation

“…IoT is a collection of sensors, actuators, software, electronics embedded with home appliances, physical devices, and vehicles, which connect with each other to connect and exchange data over a network without requiring human-to-human or human-to computer interaction. Recently, IoT has been applied to numerous applications (Abd Kadir et al, 2020;Filho et al, 2021;Phasinam et al, 2022) because it is low-cost, compatible and easy to develop. Therefore, the use of IoT in home security to enhance and improve the current system, especially in cases of theft involving property at home need to be considered accordingly.…”