Wheat Leaf Disease Detection: A Lightweight Approach with Shallow CNN Based Feature Refinement

O Jouini, MOE Aoueileyine, K Sethom, A Yazidi - AgriEngineering, 2024 - mdpi.com
Improving agricultural productivity is essential due to rapid population growth, making early
detection of crop diseases crucial. Although deep learning shows promise in smart …

[PDF][PDF] ML-CSFR: A Unified Crop Selection and Fertilizer Recommendation Framework based on Machine Learning

A Bhola, P Kumar - Scalable Computing: Practice and Experience, 2024 - scpe.org
Sustainable and substantial crop production is essential globally, especially considering the
increasing population. To achieve this, selecting appropriate crops and applying necessary …

[PDF][PDF] Leveraging CIELAB Segmentation and CNN for Wheat Fungi Disease Classification

U Islam, W Ahmad, SMA Shah - researchgate.net
Usman Islam*, Wakeel Ahmad, SM Adnan Shah Department of Computer Science,
University of Engineering and Technology Taxila, Pakistan* Correspondence …