RICEHERO was created to develop the utilization of technology in agriculture and assist farmers in the farming process, espicially in acccurately detecting diseases and pests in rice. From the results, information will be provided about the symptoms, causes, prevention, and treatment of the disease. The app also has other main features which are Crop Monitoring Schedule, Rice Price and Yield Forecasting, Weather API for Monitoring, consultation, and farming tips & tricks.
Our project, Ricehero, is a project aimed to improve rice accessibility and rice agribusiness. We hoped to develop an application that can help rice farmers plan their rice farming more effectively and efficiently.
As the name suggests, we combine two words from English language, namely Rice and Hero, to capture the dictionary definition of "Rice with good qualities" inline with our goal to provide a platform for rice farmer to improve their crop management accordingly.
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Our team consists of three paths with different tasks, namely Mobile Development path who is responsible for building the android application, Machine Learning path who is responsible for building a machine learning model to classify rice plant disease and forecast future rice price, and Cloud Computing path who is responsible for integrating and facilitating the connection between the other two learning paths through APIs.
Bangkit ID | Name |
---|---|
A151DSX3631 | M Herdian Bayu Pratama |
Bangkit ID | Name |
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C043DSX2602 | Reyhan Nathaniel Adhiwijaya |
C311DSY1351 | Kaila Adriane Jayanti |
Bangkit ID | Name |
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M280DSX0250 | Muhammad Rafli |
M137DSX1476 | Fahrul Dwi Anugrah |
M340DKY3778 | Shelomita Puspa Dara Kinanti |
This feature is useful for displaying information related to the symptoms, causes, prevention, and treatment of rice diseases. This feature is equipped with a camera or direct access to local files to upload images of rice diseases. This feature will classify four rice diseases namely brown spot, blast, bacterial leaf blight, and tungro and combined with healthy rice.
In this feature, combined with the weather API, users will get daily crop management recommendations using the scheduled cycle method and can make informed decisions about their planting schedule. Users can also input planting dates and get day-to-day care recommendations until harvest time.
This feature is used to view the weather when users will be farming. This is useful so that users can make informed decisions regarding their planting schedules.
In this feature, users will get recommendations on weekly rice prices and yields.
This feature is used if the user feels difficulties during the farming process, therefore this feature will provide consultation from experts directly so that it can solve the problems experienced.
This feature is useful for providing users with tips & tricks for successful farming. This feature is intended to help users from the beginning of farming until harvest time. This feature is also useful for the general public who have an interest in agriculture or who want to start farming.
Credit For:
Β© RICEHERO Team's Bangkit Academy 2023