Now showing items 1-5 of 5
Deep learning in agriculture: A survey
(Computers and Electronics in Agriculture, 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, it has recently ...
Assessment of cytotoxicity in ten strains of Gambierdiscus australes from Macaronesian Islands by neuro-2a cell-based assays
(Journal of Applied Phycology, 2018-06-15)
Within the dinoflagellate genus Gambierdiscus several species are well-known producers of ciguatoxins (CTXs) and maitotoxins (MTXs). These compounds are potent marine toxins that accumulate through the food chain, leading ...
Improved anaerobic biodegradability of wheat straw, solid cattle manure and solid slaughterhouse by alkali, ultrasonic and alkali-ultrasonic pre-treatment
(Environmental Technology, 2018-09-07)
Wheat straw and animal wastes are important feedstock for biogas production in Europe. Yet, the high content of lignocellulosic and refractory materials causes the process to be relatively slow. Therefore, pretreatment ...
A review of the use of convolutional neural networks in agriculture
(Journal of Agricultural Science, 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. In the current paper, ...
Methane potential of fruit and vegetable waste: an evaluation of the semi-continuous anaerobic mono-digestion
(Environmental Technology, 2018-09-02)
The anaerobic digestion (AD) of a high diversity blend of fruit and vegetable waste (FVW) generated in tropical conditions as a single substrate was performed. A continuously stirred tank reactor (CSTR) operated in ...