The world of plants for smart solutions
Use artificial intelligence to diagnose plant diseases
Welcome
With the increasing growth, there was a need to create solutions in the field agriculture to balance the need and demand in the world.
In our plant world app, we demonstrate the existing trends and challenges for the detection of plant leaf disease using Artificial Intelligence to identify plant diseases in Jordan, to determine whether the plant was infected with a disease or not, and secondly, determine the type of disease that affected the plant, finally, suggested an appropriate treatment compatible with the disease identified.
OUR SERVICES
Diagnosing plant diseases
Diagnosing plant diseases by analyzing the input images using artificial intelligence
Detecting the deficiency of essential elements on a plant
offer a deficiency detection service for plants such as iron, and phosphorous.
Consulting service
We offer a consulting service by agricultural engineers and plant disease protection engineers
OUR SERVICES
Recommendation treatment service
Recommendation for the treatment of diseases that appear on plants by purchasing the agricultural treatment through the application
E-commerce system
Through the application, we provide the service of purchasing fruit and ornamental plants, and agricultural fertilizers
ABOUT OUR AIMS
Achieving one of the sustainable development goals is to eradicate hunger by increasing agricultural productivity and reducing losses from agricultural pests.
Saving time, effort, and experience in the process of diagnosing the disease and recommending treatment.
OUR VALUES
The use of artificial intelligence
The strength of our app is that it uses AI to help growers identify diseases on a plant, and recommend the best treatment.
Protect the environment
It helps to protect the environment by early detection of diseases and by reducing the use of unsuitable chemical treatments and pesticides on plants that lead to crop burns, soil contamination and groundwater contamination.
Early detection
early detection of the disease and continuous monitoring