Plant diseases compose a great threat to global food security.However, the rapid identification of plant diseases remains challenging and time-consuming.It requires experts to accurately identify if the plant is healthy or not and identify the type of infection.Deep learning techniques have recently been used to identify and diagnose diseased plant
A recovery mathematical model for the impact of supply chain interruptions during the lockdown in COVID-19 using two warehouse perishable inventory policies
This study Soccer - Referee - Accessories develops an inventory model for things that deteriorate at a rate that depends on time.The research work is about minimizing the total cost of a two-warehouse system during the lockdown period.We consider two scenarios and the LIFO policy has been used in this model.In the first scenario, the stocks of the
Inferring Variation in Southern Elephant Seal At-Sea Mortality by Modelling Tag Failure
Identifying factors influencing survivorship is key to understanding population persistence.Although satellite telemetry is a ADRENAL-PRO powerful tool for studying remote animal ecology and behaviour it is rarely used for demographic studies because distinguishing the death of the animal (individual mortality) from failure of the tag (mechanical t
Benthic foraminifera for the ecological status assessment of tourist marinas
Living benthic foraminifera were investigated in three tourist marinas of the Central Adriatic in order to test the suitability of these organisms for a quick and cost-effective assessment of the ecological quality status (EcoQS).Local high concentrations of biocidal metals (Cu, Zn, Cr, Sn, Ni and Pb) were measured in the sediments nearby the boath