[ENHANCEMENT]Add AI-based Crop Disease Detection with Farmer Advisory Recommendations

[ayushk687]

Farmers often face crop losses due to late identification of plant diseases. Currently, the platform does not provide a real-time disease detection and advisory feature.

This issue proposes building a Smart Crop Disease Detection & Advisory System that allows farmers to upload plant images and receive:

🌿 Disease identification

📊 Severity estimation

💊 Treatment recommendations

🌦 Preventive measures based on local weather

This feature will improve early diagnosis and increase productivity.

Problem Statement

No AI-based disease detection system available.

Farmers depend on manual inspection.

Delayed treatment leads to yield loss.

No integrated advisory system for prevention.

Proposed Solution

Implement an AI-powered module with the following components:

1️⃣ Image Upload Module

Allow users to upload crop images (mobile/web).

Validate image format and size.

2️⃣ Disease Classification Model

Use a pre-trained CNN model (e.g., MobileNet, ResNet).

Train on crop disease dataset (PlantVillage dataset recommended).

Output:

Disease name

Confidence score

Advisory Engine

Map disease → recommended treatment.

Include:

Organic solution

Chemical solution

Preventive measures

Suggested fertilizers

4️⃣ Weather Integration (Optional Enhancement)

Fetch local weather using API.

Provide disease risk alerts.

Implementation Steps
Phase 1: Research & Planning

Identify dataset (PlantVillage / custom dataset)

Select ML framework (TensorFlow / PyTorch)

Define API structure

Phase 2: Model Development

Data preprocessing

Model training

Model validation

Export model

Phase 3: Backend Integration

Create /predict API endpoint

Load trained model

Return prediction JSON response

Phase 4: Frontend Development

Image upload component

Display disease result

Display treatment recommendations

Phase 5: Testing

Unit testing

API testing

Real-world validation

Expected Deliverables

Trained ML model

REST API for predictions

Integrated frontend UI

Documentation (README + API docs)

Deployment guide

Labels Suggested

enhancement AI/ML backend frontend agritech good-first-issue (if simplified version)

[github-actions]

Thank you for raising this issue!

We'll review it as soon as possible. We truly appreciate your contributions! ✨

Meanwhile make sure you've visited the README.md, CONTRIBUTING.md, and CODE_OF_CONDUCT.md before creating a PR for this. Also, please do NOT create a PR until this issue has been assigned to you. 😊