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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, ...
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 ...
Gut eukaryotic communities in pigs: diversity, composition and host genetics contribution
(BMC, 2020-05-07)
Background
The pig gut microbiome harbors thousands of species of archaea, bacteria, viruses and eukaryotes such as protists and fungi. However, since the majority of published studies have been focused ...
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 ...
Breeding farm, level of feeding and presence of antibiotics in the feed influence rabbit cecal microbiota
(BMC, 2020-11-02)
Background
The effect of the production environment and different management practices in rabbit cecal microbiota remains poorly understood. While previous studies have proved the impact of the age or ...