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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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 |
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. |
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