Virtual Agronomist App
With a limited budget and time, we created a virtual agronomist that provides the expert’s advice, online farming shop, nutrient plant disease diagnosing, and other functionality, powered by AI and Machine Learning.
- iOS application
- Android application
- Cloud server
- Full-stack development
- QA
Agriculture
4 months
Team Composition
The Task from the Virtual Agronomist App Client
The client decided to diversify his business and use his agricultural knowledge to help people better develop agriculture with the mobile app. There are virtual assistants in many industries, but in agriculture, this application is one of the few. The client initially started a plant growing app development in-house, but soon realized that he could not cope on his own and asked us for extra assistance.
Technology Stack for Agriculture App Development
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The Challenge We Had to Face
The client had a lot of ideas, but the budget and terms were limited. The first obstacle was to figure out what tasks and deadlines to give priority to and how the MVP would work. After that, we made an adequate roadmap for further virtual agronomist app development, which we follow.
- Creating virtual tailored growing spaces
- Choosing a featured plant or creating a new one
- Diagnosing issues with the plants using Machine Learning
- Advanced daily push notifications
- Online seeds and other farming items store
- A step-by-step guide to growing plants
- Access to experienced agronomists
Solution We Have Found for Our Plant Growing App Development
Support from the Experts
The idea behind the concept to build a farm app is a virtual agronomist assistant at your fingertips. Anybody can grow plants with the help of experienced agricultural consultants. So communication with the specialists in the agriculture field from the customer side was one of the most essential for our plant growing app development company.
Virtual Agronomist MVP
The development started with a tight budget and deadlines to launch an MVP, but new features are constantly being added. It was very important to put up a proper architecture in both UX/UI and technical sides to support further extensions of the functional. We started with Firebase services to cover backend tasks, and React Native for mobile applications — we often use this approach to start projects fast and get to MVP launch as soon as possible. Currently, the backend of the system emerged as a microservices' architecture system. Such services include machine learning algorithms, video calls, e-commerce, and so on.
Computer Vision
Computer Vision solution is an artificial intelligence killer-feature to diagnose plant disease status using a mobile phone camera. The Machine Learning model was initially constructed using an open-source plant disease database and has undergone continuous enhancement by the team of agronomists employed by the clients.
Paid Features
For premium paid accounts, we have foreseen some extremely powerful features that will make the process of gardening management much easier. These features were chosen as decisive for stakeholders and core audience to buy a premium account and keep prolonging it.
Premium Features
Computer Vision Assistant
Computer vision AI-based assistant in plant disease and lack of water diagnosing.
Adding Extra Plants
Choosing a featured plant or creating a new one.
Access to Advanced Tutorials
We will tell you all the secrets of taking care of your Growth Spaces.
Client Feedback
Celadonsoft demonstrated a commitment to delivering a high-quality product, much to the client's delight. The team was highly communicative, and internal stakeholders were impressed with the service provider's vast technical understanding and value-driven approach.
Other Cases
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