Abstract
The increasing diversion of agricultural land in Indonesia has not been followed by a decrease in the need for food in society. This change in agricultural land use poses a serious threat to food security. To solve this problem, a home-scale farming tool called Multi-Agro has been developed, which can planting independently and automatically. This tool uses a cartesian method-based robot manipulator to determine the exact coordinate points during the planting, maintenance, and harvesting process of the plants. Plant watering time can be set on the app automatically so that plant health is maintained. In addition, a weed detection system using a camera can also improve plant health. With the automatic system and monitoring that can be accessed through the app, this independent farming becomes more efficient and does not require much time from agricultural actors. Based on the experiment conducted in a real-physical miniature model of home-scale farming it can be concluded that the proposed project has a significant improvement in smart urban farming. Hopefully, this research can help to overcome the increasing need for food even though agricultural land is increasingly limited.
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