Improving the Approval Process for Durum Wheat Grain Quality in Algeria Using Computer Vision and Machine Learning

Improving the Approval Process for Durum Wheat Grain Quality in Algeria Using Computer Vision and Machine Learning تحسين عملية الموافقة على جودة حبوب القمح الصلب في الجزائر باستخدام الرؤية الحاسوبية والتعلم الآلي Amélioration du processus d'approbation de la qualité des grains de blé dur en Algérie à l'aide de la vision par ordinateur et de l'apprentissage automatique Mejora del proceso de aprobación de la calidad del grano de trigo duro en Argelia mediante visión artificial y aprendizaje automático

This research aimed to develop computer vision and machine learning models to improve durum wheat qu

Identification of Injera Mixture Using Computer Vision and Machine Learning Approach

Injera is a culturally significant food in Ethiopia, and the majority of the population consumes it

Computer vision framework for wheat disease identification and classification using Jetson GPU infrastructure

Computer vision framework for wheat disease identification and classification using Jetson GPU infrastructure

Poster presented at the Deep Learning Indaba 2023 by Tage Aboneh

Study of the quality and loses of durum wheat (Triticum durum) during storage: an overview of traditional storage in Algeria

Wheat is one of the most significant crops commercially because of its growing use. There is a real

Investigating Statistical and Machine Learning Techniques to Improve the Credit Approval Process in Developing Countries

Multispectral Vegetation Indices and Machine Learning Approaches for Durum Wheat (Triticum durum Desf.) Yield Prediction across Different Varieties

Durum wheat (Triticum durum Desf.) is one of the most widely cultivated cereal species in the Medite