Smart pest management system - An augmented reality based approach for an organic cultivation -- 2
Budget: $50 – $250 USD
This system should be able to identify the insects and augmented reality-based detection of the stage of its Lifecycle to provide solutions organically. This mainly focuses on Tomato and Onion plants and their crop pests. The system could identify the insect using machine learning techniques and give the most accurate result. The system could identify the insect once the user uploads an insect's image. The system will then instruct the user if that is a harmful insect (crop pest) or beneficial insect.
The system also should have video processing. It will help to predict the flying insects and crop pests which effect in nighttime. After the identification, the system will analyze that crop pest's stage in its Lifecycle, and the system will use augment-reality technology and showcase the 3D image of that crop pest's Lifecycle and highlight the current stage of that crop pest with its scientific name.
The system can identify the crop pest by the plant's symptoms or damage caused to the plant. The system will also identify the exact crop pest that has affected the plant once the user uploads a plant or plant leaves picture with the affected area. Once users have detected specific crop pests using the system. Then system will identify the stage of the damage. High, medium, and low levels are examples of stages of damage. According to the outcome, if the damage is no longer dangerous, the system will suggest the consumer remove relevant pests, cause damage, destroy, and organically provide solutions to prevent that.
This is for a college assignment.
The system also should have video processing. It will help to predict the flying insects and crop pests which effect in nighttime. After the identification, the system will analyze that crop pest's stage in its Lifecycle, and the system will use augment-reality technology and showcase the 3D image of that crop pest's Lifecycle and highlight the current stage of that crop pest with its scientific name.
The system can identify the crop pest by the plant's symptoms or damage caused to the plant. The system will also identify the exact crop pest that has affected the plant once the user uploads a plant or plant leaves picture with the affected area. Once users have detected specific crop pests using the system. Then system will identify the stage of the damage. High, medium, and low levels are examples of stages of damage. According to the outcome, if the damage is no longer dangerous, the system will suggest the consumer remove relevant pests, cause damage, destroy, and organically provide solutions to prevent that.
This is for a college assignment.