Plant Disease Classification Final Year Projects with Source Code
Plant Disease Classification Final Year Projects for BE, BTech, ME, MSc, MCA and MTech final year engineering students. These Plant Disease Classification 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 Classification Final Year Projects
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Bit-Plane and Correlation Spatial Attention Modules for Plant Disease Classification
This project focuses on automatically identifying plant diseases using artificial intelligence. It improves existing deep learning methods by adding a special attention model that focuses on the most important parts of plant images. The model detects disease areas more accurately and achieves very high accuracy on public plant disease datasets. The experiments show it works better than many commonly used methods. -
EfficientNetB3-Adaptive Augmented Deep Learning AADL for Multi-Class Plant Disease Classification
This project focuses on automatically identifying plant diseases using artificial intelligence. It uses advanced deep learning models that have already been trained on large datasets to recognize 52 types of diseases and healthy leaves. The study tested several models and found that one called EfficientNetB3-AADL gave the most accurate results, correctly identifying diseases 98.7% of the time. This approach can help farmers quickly and accurately detect plant diseases to protect crops. -
FieldPlant A Dataset of Field Plant Images for Plant Disease Detection and Classification With Deep Learning
This project focuses on improving the detection of plant diseases using images taken directly from farms. Researchers created a new dataset called FieldPlant, with over 5,000 real-field images carefully labeled by plant experts. They tested modern deep learning models on this dataset and found that these models performed better than when trained on previous datasets. The goal is to help farmers detect diseases more accurately and reduce food waste.
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Plant Disease Classification Project Synopsis & Presentation
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Plant Disease Classification Project Thesis Writing
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