Plant Disease Detection Final Year Projects with Source Code

Plant Disease Detection Final Year Projects for BE, BTech, ME, MSc, MCA and MTech final year engineering students. These Plant Disease Detection projects give practical experience and help complete final-year submissions. All projects follow IEEE standards and each project includes source code, project thesis report, presentation, project execution and explanation.

Plant Disease Detection Final Year Projects

  1. A Systematic Literature Review on Plant Disease Detection Motivations Classification Techniques Datasets Challenges and Future Trends
    This study reviews research on detecting plant pests and diseases using artificial intelligence. The authors analyzed 176 important papers from over 1300 studies to understand how AI, machine learning, and deep learning are used with images and datasets. They found that some methods, like SVMs and cognitive CNNs, perform well, but detecting the exact disease location remains a challenge. The study highlights the need for lightweight models that work on small devices and across many crops.
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At Final Year Projects, we provide complete guidance for Plant Disease Detection IEEE projects for BE, BTech, ME, MSc, MCA and MTech students. We assist at every step from topic selection to coding, report writing, and result analysis.

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Plant Disease Detection Project Synopsis & Presentation

Final Year Projects helps prepare Plant Disease Detection project synopsis, including problem statement, objectives, existing system, disadvantages, proposed system, advantages and research motivation. We provide PPT slides, tutorials, and full documentation for presentations.

Plant Disease Detection Project Thesis Writing

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