Smart Agriculture Environment

it is a system that build smart environment for agricultural purpose, allow to get maximum yield from crops with min amount of resources (water, fertilizer etc.) and by maintaining and monitoring a favorable environment.

Project Title

Smart Agriculture Environment

Project Area of Specialization

Internet of Things

Project Summary

it is a system that build smart environment for agricultural purpose, allow to get maximum yield from crops with min amount of resources (water, fertilizer etc.) and by maintaining and monitoring a favorable environment.

Project Objectives

The main objectives are

1. Conservation of resources.
2. Increase production.
3. Study of climate sensitive crops.  

Project Implementation Method

we get initial information about the environment ambience like temperature, humidity, light, CO2, moisture of the soil and radiation in greenhouse through different sensors then, to maintain and control the environment we apply Machine learning technique to take smart decision according to sensors reading and use different instrument i.e. cooler, humidifier etc. to normalize the environment. We will use sensor data to analysis correlations of different factors and also to train the machine learning model. We will also use camera for monitoring the effect and to apply computer vision technique to calculate the optimum growth of the plants.

Benefits of the Project

Through this idea we can revolutionize the agricultural sector.  We can harvest the crops that cannot be harvest in the local climate. Increase the yield of existing crops by increasing their immunity from parasites and fungus attacks and it’s also cutoff the cost of pesticides sprays that damage the crops.

Furthermore, it will reduce the consumption of resource i.e. Fertilizer, anti-parasites and water (In near future water will become the most precious thing). In this way we get more organic food and we can grow any crop throughout the year. And in the long run the price of food will also be reduce. In last it could the small step toward the self-sufficient Pakistan.

Technical Details of Final Deliverable

it will be a prototype that consist of glass box having multiple sensor attached in it and software with machine learning model for smart decision making and Nano Jetson developer kit will be used for computer vision that play role to keep track of relative optimum growth.

Final Deliverable of the Project

HW/SW integrated system

Type of Industry

IT , Agriculture , Food

Technologies

Artificial Intelligence(AI), Internet of Things (IoT)

Sustainable Development Goals

Zero Hunger, Responsible Consumption and Production

Required Resources

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