Results 341 to 350 of about 5,629,257 (381)
Some of the next articles are maybe not open access.

Biophotonic in situ sensor for plant leaves

Applied Optics, 2010
Knowledge of the water concentration of plants can be helpful in several environmental and agricultural domains. There are many methods for the determination of water content in plant leaves; however, most of them give a relative moisture level or an analytical measure after a previous calibration procedure. Even for other biochemical compounds such as
Conejo, Elian   +2 more
openaire   +3 more sources

Superhydrophobic Plant Leaves: The Variation in Surface Morphologies and Wettability during the Vegetation Period.

Langmuir, 2019
In this paper, for the first time, the surface wettability of cloverleaves and lotus leaves with specific surface structures at different growth stages is investigated. It is found that the clover exhibits water-repellent property similar to lotus leaves.
Xuelian Gou, Zhiguang Guo
semanticscholar   +1 more source

Tomato Plant Leaves Disease Classification Using KNN and PNN

International Journal of Computer Vision and Image Processing, 2019
Plant diseases are a major threat to the productivity of crops, which affects food security and reduces the profit of farmers. Identifying the diseases in plants is the key to avoiding losses by proper feeding measures to cure the diseases early and ...
Balakrishna K, M. Rao
semanticscholar   +1 more source

Superexpression of tuberculosis antigens in plant leaves

Tuberculosis, 2007
Recent developments in genetic engineering allow the employment of plants as factories for 1/foreign protein production. Thus, tuberculosis (TB) ESAT6 antigen was expressed in different plant systems, but the level of vaccine protein accumulation was extremely low. We describe the technology for superexpression of TB vaccine proteins (Ag85B, ESAT6, and
Yuri L, Dorokhov   +6 more
openaire   +2 more sources

Atmospheric Ammonia: Absorption by Plant Leaves

Science, 1972
By monitoring the disappearance of ammonia from an airstream flowing through a small growth chamber containing a single plant seedling, it was discovered that plant leaves absorb significant quantities of ammonia from the air, even at naturally occurring low atmospheric concentrations.
G L, Hutchinson   +2 more
openaire   +2 more sources

Thermoluminescence of Plant Leaves

1998
Chlorophyll luminescence (delayed fluorescence) originates from photosystem-II (PS-II) and results from the recombination of charges pairs created by a previous illumination. Thermoluminescence (TL) is a particular technique to study luminescence emission, which consists in (i) cooling the sample before or immediately after an illumination at a ...
J. M. Ducruet, A. Toulouse, M. Roman
openaire   +1 more source

Organogenesis in plants: initiation and elaboration of leaves

Trends in Genetics, 2015
Plant organs initiate from meristems and grow into diverse forms. After initiation, organs enter a morphological phase where they develop their shape, followed by differentiation into mature tissue. Investigations into these processes have revealed numerous factors necessary for proper development, including transcription factors such as the KNOTTED ...
Aaron, Sluis, Sarah, Hake
openaire   +2 more sources

Metabolism of sedoheptulose-C14 in plant leaves

Archives of Biochemistry and Biophysics, 1954
Abstract 1. 1. Sedoheptulose-C14 in leaves in the light and in air is rapidly converted to sucrose. In similar experiments in the dark the sedoheptulose is metabolized to respiratory products such as glutamic, aspartic, and succinic acids. 2. 2.
N E, TOLBERT, L P, ZILL
openaire   +2 more sources

Photopyroelectric Microscopy of Plant Leaves

International Journal of Thermophysics, 2007
The use of photothermal microscopy to obtain superficial and in-depth images, by means of the interaction of a thermal wave with the analyzed material, has reached great interest due to its numerous applications. The application of the photopyroelectric microscopy technique to obtain images of plant leaves is presented in this article.
B. R. Briseño-Tepepa   +5 more
openaire   +1 more source

PlaNet: a robust deep convolutional neural network model for plant leaves disease recognition

Multimedia tools and applications, 2023
Munish Khanna   +3 more
semanticscholar   +1 more source

Home - About - Disclaimer - Privacy