Abstract
Recently, horticulture farming, especially in Indonesia, are facing various obstacles, including the lack of young farmers regeneration, agricultural land decreasing, and climate change. Climate change increase extreme and uncertain weather for horticulture cultivation. Farmers frequently face frequent damage to crops and decreasing in quantity and quality of plants. The development of a monitoring system that can help farmers grow crops is a crucial issue. In this paper, a study for a system for monitoring the performance of indoor micro-climate horticulture is presented. An electronic sensors Internet-of-Things (IoT) board is implemented to monitor the cultivation process. The sensor reading is collected into a database. The database is also integrated with the Indonesian Meteorological Agency data which consists of weather data and daily at the cultivation location. For our future work, the collected data are expected to be used for training machine learning models for the development of intelligence automated indoor micro-climate horticulture.
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