In agriculture, crop pest detection is considered as one of the challenging tasks for the farmers. An automatic insect detection system using machine vision and image analysis provides better identification of crop insects on early stage with reduced time and greater accuracy which helps farmers to
Insect shape detection in field crops by machine vision and image processing
In agriculture, crop pest detection is considered as one of the challenging tasks for the farmers. An automatic insect detection system using machine vision and image analysis provides better identification of crop insects on early stage with reduced time and greater accuracy which helps farmers to increase the crop yield. In the present work, digital image processing techniques were applied for crop insects images to perform preprocessing, segmentation and feature extraction to detect the shape of insects in the sugarcane crop.
This project based on insect detection in which we can detect the insect by doing his face scan or retina scan .
This is a few week development process and we can submit our project on 2021-02-16.
It has a camera which can detect the insect or we can detect this by inserting picture in it.
The main objective of this project is to detect the different insects which can present in our daily life.
we can detect the insect and according to this we can take more diecisions,
it is very effective in agriculture field.
thin this project we are using opencv-python
which can detect the insect by opening lapto's or mobile's front camera or back camera .it can be implemented in the agriculture field
In agriculture field the benefits of this projrct is that we can detect insects in our fields and according tothe insect type we use fertilizers,by doing this our growth increase in agriculture
No more technical things is used in this projects .it is simple project in opencv-python which can only used your camera
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| camera | Equipment | 1 | 30000 | 30000 |
| Total in (Rs) | 30000 |
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