Food fraud detection using explainable artificial intelligence by Okan Buyuktepe (17991493)

“…A deep learning model was built based on this dataset and XAI tools have been investigated on the proposed deep learning model. …”

A control algorithm to increase the efficient operation of wind energy conversion systems under extreme wind conditions by Nyam Jargalsaikhan (17380429)

“…In general, most wind turbines cut off when wind speed is over the cut-out rate; as a result, the power generation of the wind farm decreases. This study introduces the look-up table pitch angle and rotational speed control to generate extra power in a strong wind region. …”

Plant Disease Classifier: Detection of Dual-Crop Diseases Using Lightweight 2D CNN Architecture by Hasibul Islam Peyal (17983828)

“…Also, the precision, recall, F1-score of the proposed model is 97 % and Area Under Curve (AUC) score of the model is 99.9% which is an indicator of the very good performance of the model. …”

Monitoring the variation of soil quality with sewage sludge application rates in absence of rhizosphere effect by Rahma Inès, Zoghlami

“…Agricultural soils in semi-arid regions have frequently been degraded due to adverse climatic conditions, organic matter depletion, and poor farming practices. To enhance soil quality, this study examines the reuse of sewage sludge (SS) as an available source of organic matter in a typical Mediterranean sandy-loam soil. …”
Get full text
Get full text
Get full text

Enhancing sustainability through resource efficiency in beef production systems using a sliding time window-based approach and frame scores by Muhammad Ismail (3176079)

“…The system boundary of the proposed model includes beef farms and processing facilities. …”

Essays on international environmental policy by Marrouch, Walid

“…Also, this tax highlights important `eco-conditionality' aspects and the trade-off that exists between land productivity and soil erosion as farming activities are moved away from the riverbank. …”
Get full text
Get full text
Get full text

Data-Efficient Wheat Disease Detection Using Shifted Window Transformer: Enhancing Accuracy, Sustainability, and Global Food Security by Muhammad Khubaib (22927822)

“…To enhance interpretability, Grad-CAM visualization techniques were applied, confirming model reliability. This research advances precision agriculture by improving the efficiency of wheat disease identification and supporting sustainable farming through state-of-the-art deep learning methodologies.…”