Sistem Pembibitan PT. Agrowisata Porlak Parna Berbasis Web

AbstrakPT. Agrowisata Porlak Parna mempunyai program kegiatan penyediaan bibit dan menyalurkan bibit untuk melestarikan kawasan di sekitar danau toba. Namun pengolahan dan penyaluran data bibit mengalami kesulitan Karena sistem yang terdapat pada perusahaan masih menggunakan sistem konvensional. Untuk itu perlu dirancang sistem pembibitan dalam bentuk website dengan PHP digunakan sebagai bahasa pemrograman, DBMS MySQL sebagai database pada model waterfall. Rancangan tersebut menghasilkan sistem pembibitan yang memudahkan admin dalam mengolah data bibit dan pengadopsi dapat mengetahui perkembangan bibit sehingga membantu meringankan pekerjaan pegawai dan meningkatkan kinerja yang baik terhadap perusahaan.Kata kunci: Sistem Pembibitan, Web, PHP, DBMS MySQL, WaterfallAbstractPT. Porlak Parna Agrotourism has a program of providing seeds and distributing seeds to preserve the area around Lake Toba. However, the processing and distribution of seed data experienced difficulties because the system contained in the company was still using a conventional system. For this reason, it is necessary to design a nursery system. In the form of a website with PHP used as a programming language, DBMS MySQL as a database in the waterfall model. The design produces a nursery system that makes it easier for admins to process seed data and adopters can find out the development of seedlings so as to help ease the work of employees and improve good performance for the company.Keywords: Nursery System, Web, PHP, MySQL DBMS, Waterfall

Analysis of Benefit Cost Ratio of Sesame Production under Demonstration in Low Lands of Western Zone, Tigray, Ethiopia

This study aimed to investigate the cost-benefit of sesame production per hectare under (farmers practice, partial package and full package) practice were farmers performed side by side in their plot. Benefit cost ratio analyses of sesame was conducted in western low lands of Tigray. It includes the production year of 2016/17 E.C and bounded of two woredas with six production sites. In the present study 40 respondents of sesame producers were incorporated. Producers were categorized in to full package (row planting, fertilizer and improved seed users), partial package (broadcast, fertilizer and improved seed users) and non package (broad cast and improved seed). Data was analyzed using SPSS version 16 in terms of percentage, mean, model and others. On the other hand, per hectare yield, return, production cost, and benefit cost ratio of each package were statistically different. The mean productivity per hectare for full package, partial package and non package was 6.55, 5.26 and 3.85 quintal sequentially. The mean return per hectare of full package, partial package, and non package was 26243.75, 21746.25 and 13178.91 birr sequentially. The production cost per hectare of full package, partial package, and non package was 13826.74, 12561.35 and 8681.46 birr respectively. The mean benefit cost ratio was 1.90, 1.74 and 1.50 birr respectively for full package, partial package and non package.

Two-Level Domain Adaptation Neural Network for EEG-Based Emotion Recognition

Emotion recognition plays an important part in human-computer interaction (HCI). Currently, the main challenge in electroencephalogram (EEG)-based emotion recognition is the non-stationarity of EEG signals, which causes performance of the trained model decreasing over time. In this paper, we propose a two-level domain adaptation neural network (TDANN) to construct a transfer model for EEG-based emotion recognition. Specifically, deep features from the topological graph, which preserve topological information from EEG signals, are extracted using a deep neural network. These features are then passed through TDANN for two-level domain confusion. The first level uses the maximum mean discrepancy (MMD) to reduce the distribution discrepancy of deep features between source domain and target domain, and the second uses the domain adversarial neural network (DANN) to force the deep features closer to their corresponding class centers. We evaluated the domain-transfer performance of the model on both our self-built data set and the public data set SEED. In the cross-day transfer experiment, the ability to accurately discriminate joy from other emotions was high: sadness (84%), anger (87.04%), and fear (85.32%) on the self-built data set. The accuracy reached 74.93% on the SEED data set. In the cross-subject transfer experiment, the ability to accurately discriminate joy from other emotions was equally high: sadness (83.79%), anger (84.13%), and fear (81.72%) on the self-built data set. The average accuracy reached 87.9% on the SEED data set, which was higher than WGAN-DA. The experimental results demonstrate that the proposed TDANN can effectively handle the domain transfer problem in EEG-based emotion recognition.

Seeds infection of Fusarium moniliforme in different Rice varieties grown in mid-hills of Nepal

Fusarium moniliforme is one of the important seed-borne fungi responsible for foot rot disease in rice. The study was conducted at the Plant Pathology Division of NARC, Khumaltar from July- December 2019 to find out the level of seed infection of F. moniliforme in different varieties of rice from mid-hills of Nepal. A total of 20 seed samples of different varieties of rice with 240 seeds of each sample were tested following a deep-freeze blotter method distributing 80 seeds per replication and maintaining 3 replications. Seed to seedling transmission test was carried out under screen house conditions. Two hundred seeds of each highly infected five varieties from laboratory test data were planted in eight pots, twenty-five seeds per pot, and categorized into four replications. Component plating was done to determine the location of F. moniliforme infection in a seed. Data analysis was done using STAR at a 5% level of significance. There was a significant difference among all the varieties. The highest incidence of F. moniliforme infection was found in seeds of Khumal-9 variety and lowest in Fan-10 variety. From seed to seedling transmission test, Khumal-4 variety was found highly susceptible to foot rot among the 5 varieties planted. Transmission percentage of disease from seed to seedling was found ranging from 16.19-72.31%. Equally, Component plating concludes that seed coat, as well as endosperm, was the location of F. moniliforme infection in rice seed. Foot rot being one of the serious diseases of rice at present time researches should be done more on this for its effective management and control. Seed health status testification before taking seeds to the field should be done so that timely control like seed treatment could be applied to control the outbreak of the disease in the field.

Lithobieae and Eriocnemeae: two new Neotropical tribes of Melastomataceae

Several genera in the Melastomataceae mostly endemic to southeastern Brazil have not been assessed for their tribal placement in a phylogenetic context. Most workers have placed the monotypic diminutive herb Lithobium in the Microlicieae, but some classifications have assigned it to either the Sonerileae or Bertolonieae. Another monotypic genus, Eriocnema, has been included in the Bertolonieae, Sonerileae, or Microlicieae. Physeterostemon contains five species, and has not previously been assigned to any tribe. Ochthephilus, a monotypic genus endemic to Guyana, was assigned to the Merianieae, but lack of fruit and seed data, and a paucity of collections, have impeded phylogenetic assessment. To assess the placement of these genera, we conducted a phylogenetic analysis of 91 species representing 73 genera from across the Melastomataceae, including 24 of the 27 putative close relatives of Lithobium, Eriocnema, Ochthephilus, and Physeterostemon and seven gene regions, i.e., the nuclear ribosomal external and internal transcribed spacer regions, and the plastid regions accD-psaI, ndhF, psbK-psbL, rbcL, and rpl16. Lithobium groups as sister to a clade comprising all non-Olisbeoideae, Pternandreae, Henrietteeae, and Astronieae tribes. A new tribe, Lithobieae, is thus created to accommodate this placement. The capsular-fruited Eriocnema, Ochthephilus, and Physeterostemon form a clade that is sister to the berry-fruited Miconieae and widely separated from tribes with which they have been associated in historical classifications. Thus another new tribe, Eriocnemeae, is created. Lectotypes are designated for E. acaulis and L. cordatum.

Differences in stem taper of black alder (Alnus glutinosa subsp. barbata) by origin

Black alder (Alnus glutinosa subsp. barbata (C.A. Mey.) Yalt.) is an important tree species in Turkey both economically and ecologically. Accurate taper and volume equations are required by most inventory systems to estimate upper stem diameter, form, and tree volume. Stem analysis data were used to examine the differences in taper and volume of black alder trees grown in naturally regenerated, plantation, and coppice stands. Statistically significant differences were observed in taper and volume of black alder trees grown in stands from these three origins. Error in total stem volume inside bark was the greatest when the taper model was fitted to plantation data and applied to seed data compared with the model fitted to coppice data and applied to seed data. Therefore, to accurately predict upper stem diameter and total or merchantable stem volume, in addition to selecting species-specific taper models, forest managers should consider the origin of the model-fitting data when choosing an appropriate taper model for their stands.

Classification and Pixel-Based Segmentation to Evaluate Soybean Seeds Submitted to Tetrazolium Test

Production and use of high quality seeds are essential for the soybean crop. Thus, the quality control system in seeds industry must be reliable, precise, and fast. Tetrazolium test evaluates not only seeds viability but also their vigor, as well as provides information concerning agents that cause their quality reduction. Although this test does not use expensive devices and reagents, it requires a well-trained analyst. Its precision depends on knowledge of all techniques and required procedures. Besides, also necessary is the observer’s subjectivity. So, this trial aimed at developing a computational tool that could minimize the implicit subjectivity in carrying out this test. It also contributes to generate a greater credibility of information and to guarantee precise answers. Algorithms of supervised classification were applied based on extraction of digital images characterization of tetrazolium test. This procedure aimed at producing pixel-based segmentation of those images, to produce a digital segmented image of tetrazolium test according to damage classes. This tool allows, based on image of tetrazolium test, to identify damage on soybean embryos, as well as its site and extension on tissues, so that the interpretation is less subjective. The applied method allowed identifying damage on images of tetrazolium tests in a straightforward way, as well as extracting safer information about those damages and carrying out management control of tetrazolium test according to a seed data file.