Achieve Precision Farming by Optimizing the Agriculture Production and giving optimum solutions
The mission of this project is concerned with food crop agriculture and using machine learning to help optimize land for maximal crop yield by efficiently utilizing land resources. Crop yield relies strongly on how effectively the basic land requirements can be utilized, land refers to soil type, soil nutrients, water content, temperature, humidity, quality of water, and all such factors related to crop growth on farmable areas.
Objectives :
To provide a system that allows farmers access to relevant information
--- Average farmer has access to crude sources of information such as TV, radio, newspapers, fellow farmers, government agricultural agencies, farm supply, and traders. there is, therefore, a need for a system that allows farmers access to relevant information
To Provide them correct solution/Information
--- Farmers will always need information to refer to, most especially when growing crops that are not common in their land so we provide them with correct solution.
To Provide a mobile application interface
--- Most farmers do not have access to a central repository of relevant information that will help them make full use of and optimize their farmland. This work provided a mobile application interface that allows farmers to access their farmland information and guarantees them the services they need instantly
How Can Be Predictive Analytics Be Used In Precision Agriculture?
Optimizing crop yields
- 90% of crop loss is due to weather
Minimizing large variable costs
- Labour
Intelligent Pesticide, Herbicide, and Fungicide spraying.
Why do we prefer precision farming and optimization?
An process, or methodology of making something(such as a design, system, or decision) as fully perfect, functional, or effective as possible.
GPS System
To use new technologies to increase crop yields.