Smart Agricultural Robot for Spraying Pesticide with Image Processing based Disease Classification Technique
Objective
This work presents an automatic disease classification and pesticide controller based on Image Processing (IP) and Machine Learning (ML) techniques.
Abstract
The excellent development of crops decides the different parameters like worth, store consumption moreover final money-making profits of farming output. On the other hand, there are important factors that are required for the development of agriculture harvesting, which consist of macronutrients, less important nutrients, micronutrients, as well as pesticides. Conventionally, the checking of all the grain, fruit, vegetables, etc development mostly depends on an individual human verdict and is not well-timed or exact. Maintain regular surveillance over crop is an important facet of precision agriculture that uses facts at various crop growth phases. This paper presents an automatic disease classification and pesticide controller based on an Image Processing (IP) technique. Having precise information about the disease for classification and to spray pesticides is very much supportive in enhancing the production efficiency. Compared with manual processes, the proposed automatic disease classification and pesticide controller system can identify the disease in crops and can present a consistent and precise basis for suitable regulation.
Keywords: Crops disease classification, pesticide controller, Image processing, robot.
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Block Diagram
Specifications
Software: Matlab 2020a or above
Hardware:
Operating Systems:
- Windows 10
- Windows 7 Service Pack 1
- Windows Server 2019
- Windows Server 2016
Processors:
Minimum: Any Intel or AMD x86-64 processor
Recommended: Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support
Disk:
Minimum: 2.9 GB of HDD space for MATLAB only, 5-8 GB for a typical installation
Recommended: An SSD is recommended A full installation of all MathWorks products may take up to 29 GB of disk space
RAM:
Minimum: 4 GB
Recommended: 8 GB
Learning Outcomes
· Introduction to Matlab
· What is EISPACK & LINPACK
· How to start with MATLAB
· About Matlab language
· Matlab coding skills
· About tools & libraries
· Application Program Interface in Matlab
· About Matlab desktop
· How to use Matlab editor to create M-Files
· Features of Matlab
· Basics on Matlab
· What is an Image/pixel?
· About image formats
· Introduction to Image Processing
· How digital image is formed
· Importing the image via image acquisition tools
· Analyzing and manipulation of image.
· Phases of image processing:
o Acquisition
o Image enhancement
o Image restoration
o Color image processing
o Image compression
o Morphological processing
o Segmentation etc.,
· How to extend our work to another real time applications
· Project development Skills
o Problem analyzing skills
o Problem solving skills
o Creativity and imaginary skills
o Programming skills
o Deployment
o Testing skills
o Debugging skills
o Project presentation skills
o Thesis writing skills
Related Projects
Paper Publishing
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