APPLICATION DEVELOPMENT FOR PLANT VISUALIZATION, IRRIGATION CONTROL, AND PLANT NUTRITION IN VEGETABLE FARMS

Indonesia is one of the agricultural countries capable of producing a significant amount of vegetables, reaching 12,799,185 vegetables per year in 2021. However, farm management in Indonesia still faces various challenges, such as the lack of effective monitoring and regulation of irrigation and...

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Bibliographic Details
Main Author: Felisha, Jacelyn
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/75663
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:Indonesia is one of the agricultural countries capable of producing a significant amount of vegetables, reaching 12,799,185 vegetables per year in 2021. However, farm management in Indonesia still faces various challenges, such as the lack of effective monitoring and regulation of irrigation and nutrient provision for vegetable farms, as well as a decline in public interest in farming activities. The FKGG (Gunung Geulis Communication Forum) Demonstration Farm is one of the vegetable farms that still face these challenges. Therefore, the development of the FKGG Farm application was initiated to enable users to remotely monitor and regulate irrigation and nutrient provision for the FKGG demonstration farm. The development of the FKGG Farm application utilizes the Flutter framework for the frontend, Firebase as the database, and Vercel as the deployment platform for the web-based mobile application. The application has been successfully developed with several key features, such as recording plant information, irrigation control, nutrient provisioning for plants, and real-time visualization of watering and nutrient data. The application was tested through functional testing, non-functional testing, and user acceptance testing. The results of the testing indicated that the application successfully provides visualization, irrigation control, and nutrient provision from a remote location, facilitating the work of farmers in the FKGG demonstration farm. For future development, the application can be enhanced by adding post-harvest plant management features, generating automatic monthly reports. The historical data of planting, irrigation, and nutrient provision can also be utilized for predicting harvest dates.