Abstract
At present, intelligent agriculture has been used in several industrial and agricultural sectors. Additionally, artificial intelligence or AI has been increasingly used in agriculture, but there is also the need to study the complex characteristics of plants. We therefore need to develop tools that can collect the information of plants. Instruments for collecting plant phenotype data are difficult to access and are mostly located in research institutes or large industries, and these instruments are costly. We therefore see the importance of the plant data collection in order to make it easily accessible for anyone by designing a low cost, automated greenhouse used for plant phenotyping. This developed greenhouse utilizes commercially available microcontrollers and readily available devices, the phenotypic-measuring automated greenhouse has developed and designed as a machine that is capable of controlling the environment and growing crops using a controlled hydroponics system. It is designed to collect two phenotype data: leaf area and Normalized Difference Vegetation Index (NDVI). This tool can control the growing environment. It can track the plant growth and plant health, which can collect the information that is useful for plant development.
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CITATION STYLE
Pongkorn, A., Suriya, N., & Orapadee, J. (2023). Design and development of a low cost automated greenhouse for plant phenotyping. In ACM International Conference Proceeding Series (pp. 201–206). Association for Computing Machinery. https://doi.org/10.1145/3622896.3622929
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