Jatropha Curcas Disease Identification With Extreme Learning Machine
نویسندگان
چکیده
منابع مشابه
Isolation and Identification of miRNAs in Jatropha curcas
MicroRNAs (miRNAs) are small noncoding RNAs that play crucial regulatory roles by targeting mRNAs for silencing. To identify miRNAs in Jatropha curcas L, a bioenergy crop, cDNA clones from two small RNA libraries of leaves and seeds were sequenced and analyzed using bioinformatic tools. Fifty-two putative miRNAs were found from the two libraries, among them six were identical to known miRNAs an...
متن کاملTowards domestication of Jatropha curcas
91 10.4155/BFS.09.4 © 2010 Future Science Ltd Jatropha curcas L. (further referred to as Jatropha) is a rapidly emerging biofuel crop currently attracting a lot of interest and investments [1]. This stem-succulent [2] deciduous tree or shrub produces seeds rich in toxic oil (27–40% [3]). The oil can be extracted easily with techniques of different sophistication levels [4,5]. The crude Jatropha...
متن کاملPharmacognostic Studies of the Jatropha Curcas Leaves
The J. curcas is considered as a biofuel plant, but the leaves are traditionally used as an antiinflammatory and anticoagulant. In present investigation, the detailed pharmacognostic study of J. curcas leaf is carried out to lay down the standards which could be useful in future experimental studies. The study includes macroscopy, microscopy, preliminary phytochemical screening and physicochemi...
متن کاملReproductive biology characteristic of Jatropha curcas (Euphorbiaceae).
Jatropha curcas belongs to family of Euphorbiaceae, and is an important biological tree species for diesel production. The current descriptions of the phenotypic traits for male and female flowers are not comprehensive and there have been no reports about the process of J. curcas from pollen germination on stigma to pollen tubes conducting fertilization after entering the ovary and ovule. To as...
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ژورنال
عنوان ژورنال: Indonesian Journal of Electrical Engineering and Computer Science
سال: 2018
ISSN: 2502-4760,2502-4752
DOI: 10.11591/ijeecs.v12.i2.pp883-888