Apprentice
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AI For Crop Disease Detection using Hyperspectral imaging
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Module 5: Machine Learning for Crop Disease Classification

Module 5: Machine Learning for Crop Disease Classification

by NSTC NSTC

July 4, 2026

About Module 5: Machine Learning for Crop Disease Classification

Module Content

Module 5: Machine Learning for Crop Disease Classification

9 Lessons

Chapter 5.1: AI Workflow for Disease Classification

Lesson 1: Lesson 5.1.1: End-to-end AI workflow for hyperspectral disease analysis

Lesson 2: Lesson 5.1.2: Data preprocessing for machine learning models

Lesson 3: Lesson 5.1.3: Building a baseline crop disease classifier

Chapter 5.2: Classical Machine Learning Models

Lesson 1: Lesson 5.2.1: Logistic Regression and K-Nearest Neighbors

Lesson 2: Lesson 5.2.2: Support Vector Machine for spectral classification

Lesson 3: Lesson 5.2.3: Random Forest for crop disease detection

Chapter 5.3: Model Training and Optimization

Lesson 1: Lesson 5.3.1: Model training and validation strategy

Lesson 2: Lesson 5.3.2: Hyperparameter tuning basics

Lesson 3: Lesson 5.3.3: Handling class imbalance in crop disease datasets

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