Results 71 to 80 of about 106,225 (101)

Elucidation of mechanisms underlying active oxygen burst in Citrus sinensis after Diaporthe citri infection using transcriptome analysis

Frontiers in Microbiology
IntroductionReactive oxygen species (ROS) generation is a common disease defense mechanism in plants. However, it is unclear whether Citrus host activates defense response against Diaporthe citri causing citrus melanose disease by producing ROS, and the ...
Tiantian Liu, Tiantian Liu, Zehua Zhou, Changwei Luo, Hua Luo, Jun Tang, Xiaojiang Shi, Diping Li, Qiong Zhang, Jin Li, Yonggang Xia, Na Song, Tuyong Yi   +12 more
doaj   +1 more source

A citrus fruits and leaves dataset for detection and classification of citrus diseases through machine learning

Data in Brief, 2019
Plants are as vulnerable by diseases as animals. Citrus is a major plant grown mainly in the tropical areas of the world due to its richness in vitamin C and other important nutrients. The production of the citrus fruit has been widely affected by citrus
Hafiz Tayyab Rauf, Basharat Ali Saleem, M. Ikram Ullah Lali, Muhammad Attique Khan, Muhammad Sharif, Syed Ahmad Chan Bukhari   +5 more
doaj   +1 more source

Integrating advanced deep learning techniques for enhanced detection and classification of citrus leaf and fruit diseases

Scientific Reports
In this study, we evaluate the performance of four deep learning models, EfficientNetB0, ResNet50, DenseNet121, and InceptionV3, for the classification of citrus diseases from images.
Archna Goyal, Kamlesh Lakhwani
semanticscholar   +1 more source

LDTC-YOLO: A Lightweight Detection Model for Typical Citrus Leaf and Fruit Diseases Under Natural Orchard Conditions

Agriculture
Accurate detection of citrus leaf and fruit diseases is important for precision orchard management. However, natural orchard images often contain small disease symptoms, leaf and fruit overlap, illumination variation, and cluttered backgrounds, making ...
Botao Gu, Weiting Wu, Bin Jiang
doaj   +1 more source

Citrus melanose.

PlantwisePlus Knowledge Bank, 2020
W. Zhang, Z. Zhou
semanticscholar   +1 more source

YOLOv10-LGDA: An Improved Algorithm for Defect Detection in Citrus Fruits Across Diverse Backgrounds

Plants
Citrus diseases can lead to surface defects on citrus fruits, adversely affecting their quality. This study aims to accurately identify citrus defects against varying backgrounds by focusing on four types of diseases: citrus black spot, citrus canker ...
Lun Wang, Rong Ye, Youqing Chen, Tong Li
doaj   +1 more source

Occurrence of citrus melanose in Kumamoto prefecture in 1987.

Kyushu Plant Protection Research, 1988
ISODA, Takaharu, YAMADA, Kazuhiro
openaire   +2 more sources

Effect of Large-Scale Cultivation of Bacillus amlyoliquefaciens Y1 Using Fertilizer Based Medium for Control of Citrus Melanose Causing Diaporthe citri

Korean Journal of Soil Science and Fertilizer, 2019
Dong-Ryul Lee, Ei Htwe Maung Chaw, Henry B. Ajuna, Kil‐Yong Kim   +3 more
semanticscholar   +1 more source

2026–2029 Florida Citrus Production Guide: Melanose

EDIS
2026–2029 Florida Citrus Production Guide (Citrus Production Fundamentals).
Megan M. Dewdney
doaj  

The Perfect Stage of Citrus Melanose Fungus in Japan

Japanese Journal of Phytopathology, 1971
openaire   +2 more sources