Results 251 to 260 of about 1,111,405 (308)

Disease-induced changes in <i>Panax ginseng</i> phyllosphere fungal community assembly and functional adaptation. [PDF]

Front Microbiol
Shuang L, Ge T, Hang L, Wenjing L, Jiang X, Haoyu H, Shuiming X.   +6 more
europepmc   +1 more source

Multi-FusNet-convolutional neural network with improved Huber loss function for plant leaf disease detection and classification. [PDF]

Front Plant Sci
Shruthi BS, Narasimha Murthy MS, Aldakheel EA, Khafaga DS.   +3 more
europepmc   +1 more source

Spatial coordination between leaf gradient and temperature response in barley. [PDF]

Plant J
Fernandez EC, Tu G, Dai W, Yang S, Liu Z, Grzybowski M, Liang Z.   +6 more
europepmc   +1 more source

YOLO-SDA: an innovative YOLOv12-derived model with superior performance in recognizing peanut foliar diseases. [PDF]

Front Plant Sci
Yang D, Chen J, Wang C, Wang J, Liu Z, Zhong X.   +5 more
europepmc   +1 more source

Adaptive Strategies of Desert Shrub Stem-Leaf Anatomical Traits in the High-Altitude Qaidam Basin. [PDF]

Plants (Basel)
Wang Y, Liu S, Ji C.
europepmc   +1 more source

In Vitro Antitrypanosomal and Antibacterial Activity of Aqueous, Hydroethanolic and Ethanolic Extracts of Rumex obtusifolius L. Leaf and Root. [PDF]

Basic Clin Pharmacol Toxicol
Borges GK, Das Neves GB, Reichardt L, Costa UMD, Miletti LC, Bastos-Pereira AL.   +5 more
europepmc   +1 more source

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Analysis of Peanut Leaf Proteome

Journal of Proteome Research, 2010
Peanut (Arachis hypogaea) is one of the most important sources of plant protein. Current selection of genotypes requires molecular characterization of available populations. Peanut genome database has several EST cDNAs which can be used to analyze gene expression.
Ramesh, Katam, Sheikh M, Basha, Prashanth, Suravajhala, Tibor, Pechan   +3 more
openaire   +2 more sources

QTL analysis of leaf architecture

Journal of Plant Research, 2009
Leaf size and shape define the photosynthetic capability of a plant and have a significant impact on important agronomic traits, such as yield, quality, disease resistance and stress responses. Cultivated varieties of many plant species show remarkable variations in leaf morphology.
José Manuel, Pérez-Pérez, David, Esteve-Bruna, José Luis, Micol   +2 more
openaire   +2 more sources

An automatic leaf analysis system

2013 IEEE International Symposium on Consumer Electronics (ISCE), 2013
In this paper, we proposed an automatic vision-based leaf analysis system. The proposed system is composed of two units: image acquisition unit and image analysis unit. To evaluate the proposed scheme, several images containing different species of leaves are captured by using low-cost webcam.
Guo-Shiang Lin, Tai-Yu Su, Jun-Hong Lin, Yi-Ting Chen, Chan-Han Ya, Fu-You Li   +5 more
openaire   +1 more source