Implementation of Mini-Greenhouse Based on Precision Agriculture
As the saying goes: “Food is the first priority for the people.” Agriculture has been a national priority since ancient times. In recent years, due to the severe impacts of extreme climate and the decline in the agricultural workforce in rural areas, many agricultural challenges have become increasingly urgent. To address these challenges, governments worldwide, including ours, have placed great importance on agricultural issues. One of the key strategies to combat the effects of extreme climate on agriculture is the introduction of greenhouses. In addition to traditional large-scale greenhouses, we implemented a mini-greenhouse based on standardized precision planting, making planting accessible to general users and agriculture to every corner. In our implementation, we use the Raspberry Pi board to automate the control mechanism of the mini-greenhouse. Users can customize the planting environment for different crops by accessing a web page where they can set parameters such as lighting, exhaust fan temperature, and water supply. The mini-greenhouse enables automated and precise planting by using sensors to monitor conditions such as light levels, atmospheric temperature and humidity, as well as soil temperature and moisture. To ensure reliability and future scalability, all sensors adhere to industrial standards and are based on the RS485 Modbus protocol. With this simple mini-greenhouse, built on the principles of precision agriculture, we aim to bring agriculture into everyday households.
Authors
- Xiang-Yu Zhuang
- Robert F. Chen (ORCID: https://orcid.org/0000-0003-0625-9323)
- WEI-CHING CHIEN
- Che‐Wei Chang (ORCID: https://orcid.org/0000-0002-3675-4512)
- Yufa Wu
- Wei-Min Cheng
- Yu-Jen Chen (ORCID: https://orcid.org/0000-0001-5755-6200)
- T.-C. Chen
Institutions
- Chaoyang University of Technology (TW)
- Lunghwa University of Science and Technology (TW)
Publication Details
- Published
- 2024-12-10
- DOI
- https://doi.org/10.1109/ispacs62486.2024.10868011
- Primary Topic
- Wireless Sensor Networks and IoT
- Type
- article
- Field-Weighted Citation Impact
- 0.00