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      저자 : Alemayehu Mengistu (검색결과 2 건)
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      • Ethiopian Coffee Plant Diseases Recognition Based on Imaging and Machine Learning Techniques

        Abrham Debasu Mengistu,Dagnachew Melesew Alemayehu,Seffi Gebeyehu Mengistu 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.4

        Coffee plant is a plant whose seeds called coffee beans are grown in all over the world particularly in Ethiopia. The research focuses on three major type of coffee disease which occurs on the leave part of a coffee plant, these are Coffee Leaf Rust (CLR), Coffee Berry Disease (CBD), and Coffee Wilt Disease (CWD). The aim of this paper is recognition of the three types of coffee disease using imaging and machine learning techniques. The image of Coffee plant diseases were taken from the regions of Ethiopia where more coffee is produced i.e. Southern Nations, Nationalities, and Peoples, Jimma and Zegie. In this paper artificial neural network (ANN), k-Nearest Neighbours (KNN), Naïve and a hybrid of self organizing map (SOM) and Radial basis function (RBF) are used. We conduct experiment for each group of feature set in order to get a highly correlated and the more representing features. The total number of data sets is 9100. From the total of 9100, 70% were used for training and the remaining 30% were used for testing. . In general, the overall result showed that color features represents more than texture features regarding recognition of coffee plant diseases and the performance of combination of RBF (Radial basis function) and SOM (Self organizing map) is 90.07%.

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        Evaluation of accessions of vetch species for agronomic performance under nitosol and vertisol conditions in the central highlands of Ethiopia

        Gezahagn Kebede,Fekede Feyissa,Getnet Assefa,Mengistu Alemayehu,Alemayehu Mengistu 한국작물학회 2020 Journal of crop science and biotechnology Vol.23 No.3

        Vetch is an annual forage legume and accessions of its species performed diff erently under diff erent soil conditions. Twenty accessions of fi ve vetch species were evaluated for their agronomical diff erences at Holetta and Ginchi in the central highlands of Ethiopia. The rate of DM accumulation was similar during the initial growth stage. However, after the second sampling (74 DAS), aerial DM accumulation varied widely across the testing sites due to the diff erence in temperature, rainfall, and soil fertility conditions. The average stretched plant height was higher at Ginchi compared to Holetta, which could be attributed to higher and extended rainfall and favorable growing conditions during the experimental period. In addition to genetic variability, soil fertility and environmental conditions could also contribute to the diff erence in height. On average, about 10 and 20 more days were required to harvest forage and seed yield, respectively, at Ginchi compared to Holetta. Days to forage harvest ranged from 80.7 to 113.0 and 94.3 to 126.0 days after the emergence of the seedlings at Holetta and Ginchi, respectively. The diff erence in maturity is an important agronomic trait to select companion crops for maximum production. The higher biomass production rate was recorded at Ginchi than in Holetta. Accessions of early maturing vetch species had a comparatively higher biomass production rate, while late-maturing accessions had lower biomass production rates at both locations. Intermediate-to-late-maturing accessions of vetch species gave relatively better forage DM yield than early maturing accessions at both locations. The highest grain-fi lling period was recorded for accession 2424 ( Vicia villosa ) at Holetta and accession 64266 ( Vicia sativa ) at Ginchi. Vetch accessions showed higher seed yield and thousand seed weight at Ginchi than Holetta. The 20 accessions of vetch species were grouped into three clusters based on major measured parameters.

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