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Measuring and analyzing color and texture information in anatomical leaf cross sections: an approach using computer vision to aid plant species identification
(N R C Research PressOttawa, 2011-07)
Currently, studies on leaf anatomy have provided an important source of characters helping taxonomic, systematic, and phylogenetic studies. These studies strongly rely on measurements of characters (such as tissue thickness) ...
Wheat diseases and pests: a guide for field identification
(CIMMYT, 2013)
Wheat diseases and pests: a guide for field identification
(CIMMYT, 2014)
IDENTIFICATION OF GENES INVOLVED IN DESSICATION TOLERANCE FROM A RESURRECTION MEXICAN PLANT
(2012-11-20)
IDENTIFICATION OF GENES INVOLVED IN DESSICATION TOLERANCE FROM A RESURRECTION MEXICAN PLANT
Wheat diseases and pests: a guide for field identification
(CIMMYT, 2012)
Disease Identification in Crop Plants based on Convolutional Neural Networks
(Science and Information OrganizationAT, 2023)
"The identification, classification and treatment of
crop plant diseases are essential for agricultural production.
Some of the most common diseases include root rot, powdery
mildew, mosaic, leaf spot and fruit rot. ...
Disease Identification in Crop Plants based on Convolutional Neural Networks
(Science and Information OrganizationAT, 2023)
"The identification, classification and treatment of
crop plant diseases are essential for agricultural production.
Some of the most common diseases include root rot, powdery
mildew, mosaic, leaf spot and fruit rot. ...
Nitrogen content identification in crop plants using spectral reflectance and artificial neural networks
(Institute of Electrical and Electronics Engineers (IEEE), 2001-01-01)
The accurate identification of the nitrogen content in crop plants is extremely important since it involves economic aspects and environmental impacts. Several experimental tests have been carried out to obtain characteristics ...