This chapter describes the case study on “Crop Disease Detection and Yield prediction”. The study includes identification of crop condition, disease detection, prediction about specific crop and ...

🎯 Objectives Build a robust classification model for corn leaf disease detection. Apply ensemble learning using BaggingClassifier with Support Vector Machine (SVM) as the base estimator. Evaluate the ...

They trained the algorithm by feeding it huge datasets — over 50,000 images — gathered as a part of PlantVillage, an open access online archive of plant photos including images of plant disease.

The study employs deep learning techniques, a subfield of machine learning, to automatically optimize computational models for tasks such as object detection, localization, and image classification.