Results 31 to 40 of about 81,803 (155)
Advanced Spectroscopic, Imaging, and Nanotechnology Tools for Diagnosing Fungal Diseases in Fruits. [PDF]
Food Sci NutrSchematic presentation shows various techniques applied for the detection of fungal diseases in fruits. ABSTRACT Fruits are a critical component of the human diet, as they provide essential dietary nutrients that play an important role in the functioning of the human body and maintaining health.
Adiani V, Mishra A.
europepmc +2 more sources
Classification of Citrus Diseases Using Optimization Deep Learning Approach. [PDF]
Comput Intell Neurosci, 2022 Most plant diseases have apparent signs, and today’s recognized method is for an expert plant pathologist to identify the disease by looking at infected plant leaves using a microscope. The fact is that manually diagnosing diseases is time consuming and that the effectiveness of the diagnosis is related to the pathologist’s talents, making this a great
Elaraby A, Hamdy W, Alanazi S.
europepmc +2 more sources
Citrus Black Spot Symptoms on Fruit Exposed to Phyllosticta citricarpa Infections at Different Developmental Stages. [PDF]
Plant Environ InteractABSTRACT Citrus black spot (CBS), caused by Phyllosticta citricarpa, is an important fungal disease of citrus. Higher CBS severity has been associated with P. citricarpa infections at the young and green stages of fruit. The length of the fruit susceptibility period may be influenced by the amount of inoculum and the climate of the citrus growing ...
Moyo P +3 more
europepmc +2 more sources
Rapid Identification of Diaporthe citri by Gene Sequence Analysis [PDF]
Research in Plant Disease, 2023 Citrus melanoses caused by Diaporthe citri, has been one of the serious diseases in many citrus orchards of Jeju Island. To protect melanose in citrus farms, a fast and exact diagnosis method is necessary. In this study, diseased leaves and dieback twigs
Zar Zar Soe +4 more
doaj +1 more source
Phyllosphere Microbiome in Response to Citrus Melanose [PDF]
, 2020 Abstract Background: Like microbiomes in the rhizosphere, phyllosphere microbiomes can have an important role in plant growth and health. However, whether and how the phyllosphere microbiomes respond to the invasion of pathogens is not well understood.
Pudong Li +3 more
openaire +1 more source
The Role of Phyllosphere Microbes and Viruses in Biocontrol of Pathogenic Fungi. [PDF]
Microb BiotechnolFoliar microbiota employ multiple ecological strategies to inhibit fungal pathogens in the phyllosphere, including resource competition, production of antifungal metabolites, contact‐dependent killing, modulation of plant innate immunity and mycovirus‐mediated suppression.
Bi L, Islam ZF, Chan LH, Hu HW.
europepmc +2 more sources
Plant Pathology, Volume 72, Issue 3, Page 548-563, April 2023., 2023 Targeted and non‐targeted approach to detect causal agent of citrus black spot disease in air samples: specific qPCR assay and high‐throughput sequencing of two barcodes for detection and identification of Phyllosticta citricarpa. Abstract The fungus Phyllosticta citricarpa is a quarantine pathogen in the EU and is of high economic importance in many ...
Janja Zajc +9 more
wiley +1 more source
Microbiomes in agroecosystem: Diversity, function and assembly mechanisms
Environmental Microbiology Reports, Volume 14, Issue 6, Page 833-849, December 2022., 2022 Abstract Soils are a main repository of biodiversity harbouring immense diversity of microbial species that plays a central role in fundamental ecological processes and acts as the seed bank for emergence of the plant microbiome in cropland ecosystems.
Chao Xiong, Yahai Lu
wiley +1 more source
Blended Features Classification of Leaf‐Based Cucumber Disease Using Image Processing Techniques
Complexity, Volume 2021, Issue 1, 2021., 2021 Existing plant leaf disease detection approaches are based on features of extracting algorithms. These algorithms have some limits in feature selection for the diseased portion, but they can be used in conjunction with other image processing methods. Diseases of a plant can be classified from their symptoms.
Jaweria Kainat +6 more
wiley +1 more source
Automatic Detection of Citrus Fruit and Leaves Diseases Using Deep Neural Network Model
IEEE Access, 2021 Citrus fruit diseases are the major cause of extreme citrus fruit yield declines. As a result, designing an automated detection system for citrus plant diseases is important.
Asad Khattak +6 more
doaj +1 more source