Results 31 to 40 of about 475,966 (276)
Image-Based Plant Disease Identification by Deep Learning Meta-Architectures
The identification of plant disease is an imperative part of crop monitoring systems. Computer vision and deep learning (DL) techniques have been proven to be state-of-the-art to address various agricultural problems.
Muhammad Hammad Saleem +3 more
doaj +1 more source
In India, agriculture is the main driver of economic growth. Farmers choose the best crops for each season based on soil fertility, weather, and crop economics. Agricultural industries strive for better ways to produce food in order to meet the demands of an expanding population. New technologies that would increase yields while lowering investment are
openaire +1 more source
Pectobacterium carotovorum subsp carotovorum can cause potato blackleg in temperate climates [PDF]
It is well established that the pectinolytic bacteria Pectobacterium atrosepticum (Pca) and Dickeya spp. are causal organisms of blackleg in potato. In temperate climates, the role of Pectobacterium carotovorum subsp. carotovorum (Pcc) in potato blackleg,
Bovenkamp, G.W., van den +5 more
core +3 more sources
Production of the main celiac disease autoantigen by transient expression in Nicotiana benthamiana [PDF]
Celiac Disease (CD) is a gluten sensitive enteropathy that remains widely undiagnosed and implementation of massive screening tests is needed to reduce the long term complications associated to untreated CD.
Acevedo, Gonzalo Raúl +4 more
core +2 more sources
Downy mildew is a major disease of grapevine. Conventional methods for assessing crop diseases are time-consuming and require trained personnel. This work aimed to develop and validate a new method to automatically estimate the severity of downy mildew ...
Inés Hernández +7 more
doaj +1 more source
Not all surveillance data are created equal—A multi‐method dynamic occupancy approach to determine rabies elimination from wildlife [PDF]
1. A necessary component of elimination programmes for wildlife disease is effective surveillance. The ability to distinguish between disease freedom and non‐detection can mean the difference between a successful elimination campaign and new epizootics ...
Cliquet F. +10 more
core +2 more sources
ABSTRACT Background The HIT network was established in 2000 to create a population‐based structure aiming to improve survival rates and reduce late effects for children with central nervous system (CNS) tumors by conducting comprehensive clinical trials.
Stefan Rutkowski +59 more
wiley +1 more source
Real-Time Plant Disease Dataset Development and Detection of Plant Disease Using Deep Learning
Agriculture plays a significant role in meeting food needs and providing food security for the increasingly growing global population, which has increased by 0.88% since 2022.
Diana Susan Joseph +2 more
doaj +1 more source
Monitoring genetic population biomarkers for wastewater-based epidemiology [PDF]
We report a rapid “sample-to-answer” platform that can be used for the quantitative monitoring of genetic biomarkers within communities through the analysis of wastewater. The assay is based on the loop-mediated isothermal amplification (LAMP) of nucleic
Cooper, Jonathan M. +4 more
core +3 more sources
ABSTRACT Asymptomatic infection poses a significant risk for children undergoing hematopoietic stem cell transplantation (HSCT). Pre‐transplant surveillance computed tomography (CT) is commonly used to identify occult infection, though its diagnostic yield remains uncertain.
Tyler Obermark +9 more
wiley +1 more source

