Smart Mini Gardening System

Smart farming is a concept of using communication and information technologies in order to increase productivity and quality of vegetables.  Pakistan has a wide range of agro-climate which allows it to grow vegetables in a wide range. Pakistan?s largest profitable crop is wheat, but on the othe

Project Title

Smart Mini Gardening System

Project Area of Specialization

Internet of Things

Project Summary

Smart farming is a concept of using communication and information technologies in order to increase productivity and quality of vegetables.  Pakistan has a wide range of agro-climate which allows it to grow vegetables in a wide range. Pakistan’s largest profitable crop is wheat, but on the other hand vegetables have also very important role in Pakistan economy. Pakistan’s world share of tomato exports was negligible in 2000. Losing $3.8 billion and 0.6% of its GDP. Therefore, there is need for changing our traditional gardening system to smart gardening which is the most suitable system for take care of our home grown plants. In our smart farming system, our research synthesized the following research objectives are i) to develop a baseline for detection of moisture and temperature ii) to classify the plants species by their images iii) to utilize deep learning approaches for the classification of a plant diseases using cameras (healthy/affected) iv) to automate the irrigation and temperature control v) to utilize cloud server for transmission and disease detection vi) to detect minerals level of the soil. System uses soil moisture sensors and temperature sensors to detect the baseline for temperature and moisture. It uses the multiple cameras to take images of the plant to classify plants and their diseases in respective classes. System will use the cloud server for disease detection and classification processing. Smart farming system will irrigate the plants automatically. Furthermore, manages the optimal temperature for the plants automatically. Also, notifies the user about plant’s health and minerals level daily. Moreover, an android application notifies the user about plant’s health status (i.e. Disease), application will also capture the plants image with help of mobile camera at runtime.

Project Objectives

The following objectives of this project are as follows:

• To detect the baseline for soil moisture, temperature, PH and soil nutrients.
• To automate the irrigation.
• To control shed based on temperature.
• To classify the plants in respective species
• To utilize deep learning approaches for the classification of disease.
• To utilize cloud server for transmission and disease detection.
• To develop an android application for monitoring the system and identifying the disease of the plant based on the captured image.

Project Implementation Method

Data Collection

                         In this section, there are several gadgets for data acquisition like soil moisture sensors, temperature sensors, soil minerals analyzer sensor and cameras. All the sensors are connected to an arduino controller and cameras to raspberry pie. Data will transmit to cloud database via arduino and raspberry pie. Moreover, an image can be captured with help of mobile camera using an android application in real time.

Deep Learning

                    Deep learning approaches are used to detect and classify the plants diseases into respective diseases classes. In this approach, we will use convolutional neural network. It is a type of neural network that contains convolutional layers. First, we will take images of entire plants belonging to healthy and diseased classes, then we will classify the plants on the basis of the trained model. Similarly, we will collect images of different species of plants. These images will be used to detect the species of the plant then the health of the plant will be analyzed.

Levels Classification

Basic items that all plants needs/requires are as follows:

• Temperature
• Light
• Water
• Air
• Nutrients

                     In state of the art, growth of each plants requires different temperature and water requirements. As different plants needs different water levels at different stages of growth. As some plants need minimum water levels at beginning and average at middle age and maximum at the age of fruit giving stage. In the same way, some of them requires more water level as compared to their full bloom state. Moreover, different plants need different amount of nutrients and PH value. The nutrients level and the PH in the soil will be tracked.

Controls

                     Moreover, the water requirements for plants will be fulfilled with the help of soil moisture sensor readings which will be performed by arduino module to automate the irrigation system. Also, the temperature sensors readings controls the motorized shed to maintain the optimal temperature for different plants. Furthermore, the cameras capture the plant images and send to cloud server for processing and classification.

Status

                   In this section, we have an android application, which is connected to a cloud server. This application receives the results from the cloud server and notifies the user about plants status daily. Also, this application can capture the images to classify the diseases of plants at run time.

Benefits of the Project

Our Smart Farming system will help the community in growing healthy plants without having to worry about how little they know about farming. It will allow people to start adding variety to their farm and shift to growing their own organic vegetables and fruits instead of going broke purchasing them from the market. In the times today, we all lead very busy lives and too many a times, it becomes hard to give everything we do, a hundred per cent. Thus, this Smart farming system will prove to be a high-in-demand technology as it is a one-time investment with an ever-green outcome. That is to say, not only will it remove the need for hiring people to take care of your plants but also make the entire process of increasing plantations to battle pollution easier. It will help us shift to an organic diet without having to worry about chemicals ruining our health.

Technical Details of Final Deliverable

Smart Farming system consists of multiple gadgets like soil moisture sensors, Temperature sensors, soil analysis sensors, water pump, motorized shed, an android application and cameras. System automates the irrigation system with help of soil moisture sensors data. Furthermore, system automates the temperature control with help of temperature sensors data using motorized shed. Moreover, the plant images will be used to classify the plant’s specie, plants disease detection and disease classification on the cloud server and if the plant’s health status is critical notify the user via mobile application. Also the system notifies the user about soil minerals levels daily.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Agriculture

Other Industries

Core Technology

Internet of Things (IoT)

Other Technologies

Artificial Intelligence(AI)

Sustainable Development Goals

Quality Education, Industry, Innovation and Infrastructure

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com