Early identification of plant fungal diseases is critical for timely treatment, which can prevent significant agricultural losses. While molecular analysis offers high accuracy, it is often expensive and time-consuming. In contrast, image processing combined with machine learning provides a rapid and cost-effective alternative for disease diagnosis.
View Article and Find Full Text PDFBackground: blotch (STB) caused by fungus , is one of the important wheat ( L.) diseases difficult to control because of the lack of wheat resistant cultivars. The use of biological control agents is one possible way for triggering host plant resistance to biotic and abiotic stresses.
View Article and Find Full Text PDFObjectives: is an Iranian medicinal plant. Tschimgine and stylosin are two of its major monoterpene derivatives. In this study, we proceeded to investigate some fungal endophytes from that can produce plant secondary metabolites.
View Article and Find Full Text PDFTwo strains of 64 endophytic bacteria, Bacillus cereus Si-Ps1 and Pseudomonas azotoformans La-Pot3-3, isolated from Citrus sinensis and C. sinensis var. Thomson's leaves, respectively, reduced N-acyl homoserine-based quorum sensing in bioindicator strain Pseudomonas syringae pv.
View Article and Find Full Text PDFL-asparaginase is an important anticancer enzyme that is used in the first line treatment of acute lymphoblastic leukemia. This study was conducted to isolate L-asparaginase-producing endophytic fungi from medicinal plants of family Asteraceae. Seven healthy medicinal plants from family Asteraceae were selected for the isolation of endophytic fungi using standard surface sterilization techniques.
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