Enhancing land cover object classification in hyperspectral imagery through an efficient spectral-spatial feature learning approach.

The classification of land cover objects in hyperspectral imagery (HSI) has significantly advanced due to the development of convolutional neural networks (CNNs).However, challenges such as limited training data and high dimensionality negatively impact classification performance.Traditional CNN-based methods predominantly utilize 2D CNNs Illinois

read more

Recommendations for the use of microsatellite markers for parental reconstruction in rural sheep and goat populations

Proper knowledge about individual origin and pedigree is a major point for animal breeding and genetic livestock improvement.Mainly for goat, Brake Magnet but also for sheep, breeding in Sicily information on these points is limited, and sometimes even misleading.Sheep and goat milk production is, in many regions and especially on Sicily, a rural e

read more


The Next-generation Biomass for Biorefining

Biorefining, which uses biomass as feedstock and converts it into valuable products, is a core technology for the sustainable green industry and has high potential as an alternative Gin and Tonic Glasses to the current petrochemical-based industry.This article covers the requirements for feedstock that should be met for the economic feasibility of

read more