Abstract Input management practices within precision agriculture systems have enabled grain and oilseed producers to apply agricultural inputs variably, facilitating resource, yield, and profit optimization. Despite significant progress in variable rate technologies, research comparing different methodologies and comprehensive guidelines to assist ...
Karen Joané Truter +3 more
wiley +1 more source
Atmospheric correction of vegetation reflectance with simulation-trained deep learning for ground-based hyperspectral remote sensing. [PDF]
Qamar F, Dobler G.
europepmc +1 more source
This review synthesizes AI advancements in food systems, leveraging machine learning, computer vision, robotics, and IoT for 96%–100% accurate quality inspection, 30% reduced downtime, and enhanced traceability from farm to fork. It highlights transformative potential in sustainability and SDGs while addressing data, ethical, and scalability challenges
Muhammad Waqar +9 more
wiley +1 more source
Band Selection via Band Density Prominence Clustering for Hyperspectral Image Classification
Band clustering has been widely used for hyperspectral band selection (BS). However, selecting an appropriate band to represent a band cluster is a key issue.
Chein-I Chang +2 more
doaj +1 more source
Non-Destructive Determination of Bayberry Sugar and Acidity by Hyperspectral Remote Sensing of Si-Sensor and Low-Cost Portable Instrument Development. [PDF]
Wang J +6 more
europepmc +1 more source
AI application can be very helpful in addressing different issues and shaping novel techniques in food production, food safety and quality, and food intake. AI application in food science, such as the food industry and processing, food safety and packaging, and nutrition.
Yaseen Galali +7 more
wiley +1 more source
Hyperspectral Remote Sensing for Phenotyping the Physiological Drought Response of Common and Tepary Bean. [PDF]
Wong CY +7 more
europepmc +1 more source
Backpropagation Network‐Based Contrastive Learning for Unsupervised Domain Adaptation
Unsupervised domain adaptation for contractive learning. ABSTRACT This study introduces a new method for domain adaptation for image classification tasks that aims to improve the model's performance on a target domain after being trained on a source domain.
Yushui Xiao, Yong Huang, Yujie Li
wiley +1 more source
A New SCAE-MT Classification Model for Hyperspectral Remote Sensing Images. [PDF]
Chen H, Chen Y, Wang Q, Chen T, Zhao H.
europepmc +1 more source
Laser bathymetry on rough riverbed channels: State‐of‐the‐art and future prospects
This literature review found that topo‐bathymetric LiDAR has been successfully used to capture the structures of rough riverbeds and detect large boulders. While all of the studies that were reviewed used sensors that were operated from fixed‐wing aircraft, few studies have yet tested UAV‐borne sensors on rough riverbeds, despite the potential offered ...
Theresa M. Himmelsbach +4 more
wiley +1 more source

