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Emerging thermal imaging techniques for seed quality evaluation: Principles and applications
(Elsevier, 2020-01-22)
Due to the massive progress occurred in the past few decades in imaging, electronics and computer
science, infrared thermal imaging technique has witnessed numerous technological advancement and
smart ...
Feasibility study of smartphone-based Near Infrared Spectroscopy (NIRS) for salted minced meat composition diagnostics at different temperatures
(Elsevier, 2018-11-10)
This research work evaluates the feasibility of a smartphone-based spectrometer (740–1070 nm) for salted minced meat composition diagnostics at industrial scale. A commercially available smartphone-based ...
A pilot RNA-seq study in 40 pietrain ejaculates to characterize the porcine sperm microbiome
(Elsevier, 2020-08-15)
The microbiome plays a key role in homeostasis and health and it has been also linked to fertility and semen quality in several animal species including swine. Despite the more than likely importance ...
A review of the use of convolutional neural networks in agriculture
(Cambridge University Press, 2018-06-25)
Deep learning (DL) constitutes a modern technique for image processing, with large potential. Having been successfully applied in various areas, it has recently also entered the domain of agriculture. ...
Deep learning in agriculture: A survey
(Elsevier, 2018-02-22)
Deep learning constitutes a recent, modern technique for image processing and data analysis, with promising results and large potential. As deep learning has been successfully applied in various domains, ...
Incorporation of a solar tracking system for enhancing the performance of solar air heaters in drying apple slices
(Elsevier, 2020-11-28)
The main aim of this study was to develop an integrated solar-tracking system to maximize the efficiency of solar heaters manufactured from recyclable aluminum cans (RAC) for optimum drying of apple ...
Transfer of manure as fertilizer from livestock farms to crop fields: The case of Catalonia
(Elsevier, 2020-06-20)
Intensive livestock production might have a negative environmental impact, by producing large amounts of animal manure, which, if not properly managed, can contaminate nearby water bodies with nutrient ...
Selection of representative hyperspectral data and image pretreatment for model development in heterogeneous samples: A case study in sliced dry-cured ham
(Elsevier, 2020-12-05)
Sliced dry-cured ham arranged in ready-to-eat packages is a convenient and widely consumed commodity characterised by heterogeneity in composition not only among different industrial batches but also ...
The rise of blockchain technology in agriculture and food supply chains
(Elsevier, 2019-07-30)
Blockchain is an emerging digital technology allowing ubiquitous financial transactions among distributed untrusted parties, without the need of intermediaries such as banks. This article examines the ...
Effectiveness of specularity removal from hyperspectral images on the quality of spectral signatures of food products
(Elsevier, 2020-05-24)
Specularity or highlight problem exists widely in hyperspectral images, provokes reflectance deviation from its true value, and can hide major defects in food objects or detecting spurious false defects ...