Author:
P Archana,N Chaithanya,Viswanathan Pavitra,M S Shalin,J S Rajashekar
Abstract
A greenhouse is a covered structured area which protect the plants from extreme weather condition, providing a controlled environment for their growth and cultivation. The innovative Internet of Things (IoT) technology uses a series of sensors connected to a central computer to control the greenhouse environment. Greenhouse sensor systems include elements that monitor and control temperature, humidity, soil moisture, lighting, and external weather conditions. The research aims to design a greenhouse monitoring and control system based on the Internet of Things (IoT). In smart greenhouses, IoT involves sensors, devices, and information and communication infrastructure for real-time monitoring, data collection, and processing to control the environment inside the greenhouse unit. Controlled greenhouses, supported by computer technology, can enhance quality and increase crop yields. This research involves three greenhouses that are independently monitored and controlled through an Internet of Things (IoT) cloud platform. Cloud monitoring facilitates better integration of devices across different geographical locations.
Publisher
Inventive Research Organization
Reference13 articles.
1. [1] Maraveas, Chrysanthos, D. Piromalis, Konstantinos G. Arvanitis, Thomas Bartzanas, and Dimitrios Loukatos. "Applications of IoT for optimized greenhouse environment and resources management." Computers and Electronics in Agriculture 198 (2022): 106993.
2. [2] Ullah, Israr, Muhammad Fayaz, Muhammad Aman, and DoHyeun Kim. "An optimization scheme for IoT based smart greenhouse climate control with efficient energy consumption." Computing 104, no. 2 (2022): 433-457.
3. [3] Sinha, Bam Bahadur, and R. Dhanalakshmi. "Recent advancements and challenges of Internet of Things in smart agriculture: A survey." Future Generation Computer Systems 126 (2022): 169-184.
4. [4] Thakor, Harshkumar Prakashbhai, and Sailesh Iyer. "Development and analysis of smart digi-farming robust model for production optimization in agriculture." In 2019 6th International Conference on Computing for Sustainable Global Development (INDIACom), pp. 461-465. IEEE, 2019.
5. [5] Maraveas, Chrysanthos. "Incorporating artificial intelligence technology in smart greenhouses: Current State of the Art." Applied Sciences 13, no. 1 (2022): 14.