Digital Hydroponic
Digital hydroponic is a self-farming technique that allows you to grow healthy and fresh vegetables or fruits for your personal use. Many individuals need to do farming in their home or on adjacent farms, yet in the ongoing period, self-farming is becoming troublesome s
2025-06-28 16:26:43 - Adil Khan
Digital Hydroponic
Project Area of Specialization Artificial IntelligenceProject SummaryDigital hydroponic is a self-farming technique that allows you to grow healthy and fresh vegetables or fruits for your personal use.
Many individuals need to do farming in their home or on adjacent farms, yet in the ongoing period, self-farming is becoming troublesome step by step because of expanding obstacles i.e., the shrinkage of farmable land because of formative works for living by the social orders and people, not having appropriate farming information, and possessing less energy for the consideration expected for farms. Thus, the dirt less farming arrangements, for example, hydroponics is getting well known among not just the people be that as it may, as well for farmers It will allow a user to fit that hydroponic system in a house other than on large land, which will be also less disease-prone and provides better growth. It is also very easy to manage as compared to traditional agriculture techniques as it can be managed by housewives as a hobby.
Project ObjectivesAgricultural research shows that the hydroponic system is not only soil-less farming but it has also the following features
- Provides better production rate and better growth
- Less disease prone
- Relatively easy to manage
In keeping these points in mind we choose to take it to another level which includes
- Providing a mobile application for customers to manage the hydro farm remotely.
- Producing healthy plants.
- Making web for providing information about farming as well as detailed crops information
- Predicting the growth of crops by taking values of different sensors including humidity, temperature, light, water quality, and fertilizers
- Detecting the best plant growth parameters by using our dataset.
- Using AI to predict diseases and recommend solutions.
This project is implemented in the following steps:
- Connecting IoT-based devices and sensors for making an environment for plants. (Microprocessor, Temperature sensor, Other sensors).
- Making a website for our project which will help us understand and knowledge about the plant life cycle ( nutrients requirement, fertilizer, temperature information, humidity information, and other environment controlling information). Also, have an E-shop that has all the required materials and tools. It will alternatively give you authentic information by training and testing the plant growth factors through our dataset.
- Making Android Application for it that directly controls the environment of the system, having first an auto mode that controls the environment using the dataset made by analyzing the factors and secondly the manual mode that is used if someone wants to change environment according to its requirement.
- It also includes a disease detection module that is implemented through machine learning algorithms that checks the picture of the plant and analyzes its health and also recommends acknowledged solutions from our website.
- Firstly according to the land shortage, natural disasters, non-fertile soil, water requirement, environmental issues like population, pollution and foremost as an agricultural country, it takes a good part in the growth and solution to these issues.
- Roofs can be altered according to a model of our project and enough growth can be made.
- Users will be able to get a well-structured guide along with a plantation schedule through this system while sitting at home.
- Users will be able to control hydroponic devices through this system manually as well as automatically.
- There will be no need for self-presence you can control it remotely as it is an AI system.
- Users will be able to get notifications and timely solutions for any disease detected.
- Users will be able to get a platform where he/she can get a guide, order the product and control the hydroponic device through mobile applications and websites.
The project may finally conclude with the following outcome:
IOT MODEL:
An Iot-based model of different sensors and effectors (temperature sensor, humidity sensor, moisture sensor, fan, water flow regulator, and many others ) surrounds the plant to read and change its environment connected with a microprocessor.
WEBSITE:
A website that contains all the information about the plantation and different techniques to acknowledge new users: it recommends the best materials for the plant from E-Store and manages it. It also analyzes the data from the sensors readings and provides us with the best health values for the plant.
MOBILE APPLICATION:
An Android Application is also made that manages the system in two modes:
- Auto Mode
- Manual Mode
In Auto mode, it analyzes the values and gives you a notification about the growth and anything needed. It is best for the users that have no experience.
In Manual Mode, it is controlled by the user according to its view and all the manual values are analyzed for testing and training of dataset for better growth of plants.
It also sends a reminder/notifications if there is any disease on the plant and goes to the website for a recommendation of nutrients or solutions for the disease. The application also shows the status of the hydroponic system. It also includes the review section so that user can write their review which may help us to build a good dataset.
Final Deliverable of the Project HW/SW integrated systemCore Industry AgricultureOther Industries IT , Food Core Technology Artificial Intelligence(AI)Other Technologies Internet of Things (IoT), OthersSustainable Development Goals Good Health and Well-Being for People, Affordable and Clean Energy, Decent Work and Economic GrowthRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 78792 | |||
| Essentials Tools | Equipment | 9 | 1500 | 13500 |
| Base of System | Equipment | 6 | 1600 | 9600 |
| Planting | Equipment | 3 | 4599 | 13797 |
| Sensors & Effectors | Equipment | 15 | 300 | 4500 |
| Domain & Hosting ( 6 month ) | Equipment | 1 | 4000 | 4000 |
| Play Store Account | Equipment | 1 | 4500 | 4500 |
| Amazon Aurora Database (6 month) | Equipment | 6 | 970 | 5820 |
| Raspberry Pi & Kit | Equipment | 1 | 14000 | 14000 |
| Printing & Others | Miscellaneous | 55 | 165 | 9075 |