Rice odonates are beneficial predators that can help control insect pests in rice, so playing a valuable role in the rice ecosystem. Morphological classification is not reliable at the taxonomic level for some species. Thus, molecular techniques may be used to resolve species more accurately. Normally, genetic DNA sequence amplification is used in molecular identification. This study modified a...

The objective of this study was to obtain up-to-date information on land use and to identify long term changes in land use, especially rice, aquaculture and other crops in Ben Tre and Tra Vinh provinces in Vietnam’s Mekong Delta. Long-term changes in land-use of the study area have not been studied using long time series of SAR and optical Earth observation (EO) data before. EO data from 1979–2...

Oceanobacillus picturae strain Heshi-B3 was isolated from rice bran in a traditional fermented seafood dish named Heshiko, which was produced in Fukui Prefecture in Japan. Here, we report the draft genome sequence of O. picturae strain Heshi B-3.

Abstract Rice is one of the important food crops for humans. The yield this crop affected by several factors, them climate change. irregularities can cause were infected various diseases. By knowing diseases through its unusual characteristics, fast remedial actions could be expected. purpose essay to find best artificial neural network (ANN) architecture in classifying brown spot and leaf smut...

The rice crop intensification led to soil degradation and yield decline in the Mekong Delta, Vietnam. Therefore, it is necessary classify fertility identify constraints for proper use. legend classified by World Reference Based was converted Fertility Capability Classification system. recommendations appropriate services are suggested. findings indicate seven primary categories, ten diagnostic ...

Feature selection plays an important role in pattern recognition. The better selection of a feature set usually results the better performance in a classification problem. This work tries to select the best feature set for classification of rice varieties based on image of bulk samples using imperialist competition algorithm. Imperialist competition algorithm is a new evolutionary optimization ...

Applications of learning algorithms in knowledge discovery are promising and relevant area of research. It is offering new possibilities and benefits in real-world applications, helping us understand better mechanisms of our own methods of knowledge acquisition. Decision trees is one of learning algorithms which posses certain advantages that make it suitable for discovering the classification ...

GFSelector (Gene Function Selector, http://alnilam.mi.mss.co.jp/rgadb/) has been developed to perform computational classification of gene models and assignment of unique biological function. It has been incorporated in RiceGAAS (http://ricegaas.dna.affrc.go.jp/usr/) which was designed to provide an analysis pipeline for user submitted genome sequences and comprehensive database for all rice ge...

Applications of learning algorithms in knowledge discovery are promising and relevant area of research. It is offering new possibilities and benefits in real-world applications, helping us understand better mechanisms of our own methods of knowledge acquisition. Decision trees is one of learning algorithms which posses certain advantages that make it suitable for discovering the classification ...