Research
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Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods
Publication · September 04, 2025
Drone-Assisted Plant Disease Identification Using Artificial Intelligence: A Critical Review
Abstract
: Artificial intelligence has been incorporated into modern agriculture to increase agricultural output and resource e ffi ciency. Utilizing deep learning, particularly convolutional neural networks, for recognizing and diagnosing plant...
Publication · September 04, 2025
Artificial Intelligence-based Detection of Fava Bean Rust Disease in Agricultural Settings: An Innovative Approach
Abstract
—The traditional methods used to identify plant diseases mostly rely on expert opinion, which causes long waits and enormous expenses in the control of crop diseases and field activities, especially given that the majority of crop infec...
Publication · September 04, 2025
Advancing disease identification in fava bean crops: A novel deep learning solution integrating YOLO-NAS for precise rust
Abstract
A significant concern is the economic impact of agricultural diseases on the world’s crop production. The disease significantly reduces agricultural production across the world. Loss of nutrients caused by parasite infection of leaves,...
Publication · September 04, 2025
Deep Learning Structure for Real-time Crop Monitoring Based on Neural Architecture Search and UAV
Abstract
: Real-time monitoring of crop growth has become indispensable in modern agriculture, facilitating prompt detection of crop stress, diseases, and nutrient deficiencies by farmers. This study investigates the feasibility of leveraging un...
Publication · September 04, 2025
Optimizing Multi-Level Crop Disease Identification using Advanced Neural Architecture Search in Deep Transfer Learning
Publication · September 04, 2025
Exploring the Potential of Wind Data through Weibull and Rayleigh Functions at Ten Sites along Morocco's Atlantic Shore
Abstract
This article aims to assess the offshore wind potential of ten locations along the Atlantic coast of the Kingdom of Morocco. Wind data collected at a height of 50 meters between 2013 and 2022 were extracted from the Merra2 climatic rean...
Publication · September 04, 2025
Assessing the advancement of artificial intelligence and drones’ integration in agriculture through a bibliometric study
Abstract
Integrating artificial intelligence (AI) with drones has emerged as a promising paradigm for advancing agriculture. This bibliometric analysis investigates the current state of research in this transformative domain by comprehensively r...
Publication · September 04, 2025
Enhancing Crop Health in Smart Greenhouse Through IoT-Based Data Optimization and Deep Learning Algorithms
Abstract
Integrating convolutional neural networks (CNNs) with the Internet of Things (IoT) is paramount in agriculture, particularly greenhouses. By leveraging IoT capabilities, operators can collect agro-environmental information inside the gr...
Publication · September 04, 2025
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