Raspberry pi vs arduino remote sensing12/27/2023 ![]() ![]() N = recvfrom(sock, tBuf, 300, 0, (struct sockaddr*) &from, &fromlen) Memset(&from, 0, sizeof(struct sockaddr_in)) ![]() If(bind(sock, (struct sockaddr *)&server, sizeof(server)) < 0) Memset(&server, 0, sizeof(struct sockaddr_in)) Kanakaraja, P., Syam Sundar, P., Vaishnavi, N., Gopal Krishna Reddy, S., Sai Manikanta, G.: IoT enabled advanced forest fire detecting and monitoring on Ubidots platform. Harikrishnan, R.: An integrated Xbee arduino and differential evolution approach for localization in wireless sensor networks. įan, O., et al.: Automatic delivery and recovery system of Wireless Sensor Networks (WSN) nodes based on UAV for agricultural applications. Selmani, A., et al.: Towards autonomous greenhouses solar-powered. īenyezza, H., Bouhedda, M., Rebouh, S.: Zoning irrigation smart system based on fuzzy control technology and IoT for water and energy saving. Yong, W., et al.: Remote-control system for greenhouse based on open-source hardware. ĭidi, Z., El Azami, I.: IoT design and realization of a supervision device for photovoltaic panels using an approach based on radiofrequency technology. ĭoshi, J., Patel, T., Bharti, S.K.: Smart farming using IoT, a solution for optimally monitoring farming conditions. īagdadee, A.H., Hoque, M.Z., Zhang, L.: IoT based wireless sensor network for power quality control in smart grid. In: IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR), pp.173–176 (2017). Priya, C.G., Pandu, M.A., Chandra, B.: Automatic plant monitoring and controlling system over GSM using sensors. Kumar, A., Singh, V., Kumar, S., Jaiswal, S.P., Bhadoria, V.S.: IoT enabled system to monitor and control greenhouse. Shamshiri, R.R., et al.: Model-based evaluation of greenhouse microclimate using IoT-Sensor data fusion for energy efficient crop production. ![]() Gkiolmas, A., Dimakos, C., Chalkidis, A., Stoumpa, A.: An environmental education project that measures particulate matter via an Arduino interface. ![]() Ronaghi, M.H., Forouharfar, A.: A contextualized study of the usage of the Internet of things (IoTs) in smart farming in a typical Middle Eastern country within the context of unified theory of acceptance and use of technology model (UTAUT). KeywordsĪkhter, R., Sofi, S.A.: Precision agriculture using IoT data analytics and machine learning. Finally, we adopted the different perspectives linked to this comparative study. On the other hand, we have cited the advantages of each approach as well as the limitations that characterize each study to have an integral vision of the approaches that deal with the same subject. In this comparative study, we determined the protocols and technologies used for each approach. In this article, we present a detailed comparative study between the different achievements aimed at this technology in the field of agriculture, and especially in greenhouses to maximize monitoring and to manage resources such as energy and water quantity to properly adapt uniform irrigation and maintain an acceptable humidity value. Using an Arduino microcontroller or a Raspberry pi is a major challenge for farmers. In recent years, there has been a strong integration of Internet of Things (IoT) technology in greenhouses, however, determining the choice between the main elements for processing the data from the sensors remains a big problem. ![]()
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