Plant Disease Dataset Final Year Projects for BE, BTech, ME, MSc, MCA and MTech final year engineering students. These Plant Disease Dataset 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 Dataset Final Year Projects

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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At Final Year Projects, we provide complete guidance for Plant Disease Dataset 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 Dataset Project Synopsis & Presentation

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Plant Disease Dataset Final Year Projects with Source Code