Internet of things is a recent advancement in the technological world. Agriculture being the art and science of cultivating the soil, growing crops, and raising livestock for human consumption requires a day-to-day monitoring and observation of the farm produce. Internet of things enables farmers to obtain data surveys and monitor their farm and storage facilities in real-time. This research is addressing a logical study of the current and potential application of internet of things IoT in agricultural silos, where spatial data, highly varying physical environmental factors, task diversity and mobile devices pose a sole challenge to be overcome compared to other agricultural systems. In this research, a smart security and monitoring device is developed for Agricultural products (Maize) using the Internet of things to observe and preserve storage environment both physically and autonomously. Data is deposited in MySQL database and the communication with the sensed data and webserver is recognized with the help of Arduino. The research is supported by smart phone via android app which increases its flexibility. Monitoring and documenting of data can be achieved on the android app. The system is tested on standardized silo and the result was as expected. The result of the study established that there is a slight difference between the Temperature (17-31 oC) and Humidity (52-78%) obtained from the device and optimum Temperature (18-27 ºC) and Humidity (62-70%) required for maize storage which makes it a better method when compared with the conventional method of storing maize. The result obtained further shows that temperature, humidity, and moisture content contributed to losses in weight of the maize stored if not monitored and maintained during the research period.
The Internet of Things has become an evolving area of wireless technologies. Energy storage plays a crucial role in developing, implementing, and deploying the Internet of Things (IoT) to help solve some of the problems facing our daily activities. It is known that in batteries, energy-stored systems are able to get spoiled due to undercharging or over-charging and might profoundly affect the operation of the whole system. Electric and hybrid vehicles need an exact state-of-charge approximation technique to improve battery safety and lifetime and prevent damage. An efficient battery managing system is vital to accurately indicate the battery operating temperature and state of charge and protect the Battery against cell disproportion. This paper presents a simulation-based Battery Management System (BMS) for e-bikes, it was implemented on Arduino Nano. The battery parameters such as Temperature, Voltage, Current, State-of-Charge (SoC), and Depth-of-Discharging (DoD) will be sent to a cloud server via the BOLT IoT module, and a data analysis tool will be used to approximate bad battery pack cells. To effectively estimate the state-of charge of the system battery, three different mathematical models for a single and packed battery management system techniques, namely, Coulomb Counting (CC), the Unscented Kalman filter (UKF), and the Extended Kalman Filter (EKF), were proposed and explained in this study. The battery Management System is expected to improve the overall performance of the IoT-enabled systems and will also contribute to mass acceptance of renewable energy systems since Battery Management systems would be one of its key components.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.