Citrus diseases detection using innovative deep learning approach and Hybrid Meta-Heuristic. [PDF]
Butt N +7 more
europepmc +1 more source
Bioprospecting Microbiome for Soil and Plant Health Management Amidst Huanglongbing Threat in Citrus: A Review. [PDF]
Srivastava AK +5 more
europepmc +1 more source
Lemon and Orange Disease Classification using CNN-Extracted Features and Machine Learning Classifier
Lemons and oranges, both are the most economically significant citrus fruits globally. The production of lemons and oranges is severely affected due to diseases in its growth stages. Fruit quality has degraded due to the presence of flaws.
Anwar, Md Musfique +3 more
core
Control of alternaria and melanose on citrus using chlorothalonil and cupric hydroxide
M.H. Olson, R.H. Blank, A.J. Read
openaire +2 more sources
Advancing plant leaf disease detection integrating machine learning and deep learning. [PDF]
Sujatha R +3 more
europepmc +1 more source
Profiling of the Citrus Leaf Endophytic Mycobiota Reveals Abundant Pathogen-Related Fungal Groups. [PDF]
Huang F, Ling J, Cui Y, Guo B, Song X.
europepmc +1 more source
Test Performance Study on qPCR Assays for Detection of <i>Phyllosticta citricarpa</i>. [PDF]
Jakomin T, Žunič JZ, Kogovšek P.
europepmc +1 more source
Lasiodiplodia iraniensis and Diaporthe spp. Are Associated with Twig Dieback and Fruit Stem-End Rot of Sweet Orange, Citrus sinensis, in Florida [PDF]
Dardani, G. +4 more
core +1 more source

