iamtariqul/Digital_Farmer-Plant_Diseases_Recognition

The identification of plant disease is the premise of the prevention of plant disease efficiently and precisely in a complex environment. Machine Learning algorithm this work attempt to predict in an earlier stage and outcomes are better.

26
/ 100
Experimental

This project helps farmers and horticulturists quickly identify plant diseases by analyzing answers to a set of 38 questions about a plant's health and appearance. It takes these question responses as input and provides an early prediction of whether a plant has a disease, what kind it might be, and its overall health. This tool is for agricultural professionals seeking to detect plant issues early, without waiting for formal lab tests.

No commits in the last 6 months.

Use this if you are a farmer or horticulturist who needs a fast and cost-effective way to get an initial assessment of a plant's health and potential diseases using a structured questionnaire.

Not ideal if you require definitive, laboratory-level diagnostic accuracy or if your primary input is plant imagery rather than answers to specific questions.

agriculture horticulture plant-pathology crop-management farm-diagnostics
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 14 / 25

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JavaScript

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Last pushed

Mar 13, 2023

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