scholarly journals Detection of Disease and Pest of Kenaf Plant Based on Image Recognition with VGGNet19

2021 ◽  
Vol 4 (1) ◽  
pp. 55
Author(s):  
Diny Melsye Nurul Fajri ◽  
Wayan Firdaus Mahmudy ◽  
Titiek Yulianti
Keyword(s):  
Agricultural Sector ◽  
Working Hours ◽  
Block Matrix ◽  
Plant Diseases ◽  
Raw Material ◽  
Kenaf Fiber ◽  
Disease Symptoms ◽  
Input Feature ◽  
Plastic Materials ◽  
Network Method

One of the advantages of Kenaf fiber as an environmental management product that is currently in the center of attention is the use of Kenaf fiber for luxury car interiors with environmentally friendly plastic materials. The opportunity to export Kenaf fiber raw material will provide significant benefits, especially in the agricultural sector in Indonesia. However, there are problems in several areas of Kenaf's garden, namely plants that are attacked by diseases and pests, which cause reduced yields and even death. This problem is caused by the lack of expertise and working hours of extension workers as well as farmers' knowledge about Kenaf plants which have a terrible effect on Kenaf plants. The development of information technology can be overcome by imparting knowledge into machines known as artificial intelligence. In this study, the Convolutional Neural Network method was applied, which aims to identify symptoms and provide information about disease symptoms in Kenaf plants based on images so that early control of plant diseases can be carried out. Data processing trained directly from kenaf plantations obtained an accuracy of 57.56% for the first two classes of introduction to the VGGNet19 architecture and 25.37% for the four classes of the second introduction to the VGGNet19 architecture. The 5×5 block matrix input feature has been added in training to get maximum results.

scholarly journals Teknik Data Mining dalam Mengelompokkan Produktivitas Padi Menurut Provinsi Menggunakan K-Medoids

2019 ◽  
Vol 1 ◽  
pp. 651
Author(s):  
Safitri Ani Ritonga ◽  
M. Safii ◽  
Iin Parlina ◽  
Heru Satria Tambunan ◽  
Susiani Susiani
Keyword(s):  
Data Mining ◽  
Agricultural Sector ◽  
Plant Diseases ◽  
Raw Material ◽  
Staple Food ◽  
Research Results ◽  
Rice Productivity ◽  
The People ◽  
Pest Eradication ◽  
Cluster 2

Rice is a staple food raw material that is vital for the people, and one of the leading commodities that is cultivated by most farmers, making it an indicator of the Indonesian economy. Where the price of rice is a reflection of a country's ability to manage its economy. Rice productivity is decreasing because there are many obstacles faced by farmers such as superior seeds, fertilizers, pest eradication drugs, plant diseases, and labor in the agricultural sector. This study proposes the use of the K-Medoids method to determine the high and low productivity of rice in the province. The research results obtained were Cluster 1 (low) = 17 provinces, Cluster 2 (moderate) = 7 Provinces, and Cluster 3 (High) = 10 Provinces.

THE BIOENERGY CROPS MARKET IN UKRAINE: TRENDS OF DEVELOPMENT AND SPATIAL DIFFERENTIATION

2017 ◽  
Author(s):  
Yuriy Hayda ◽  
◽  
Khrystyna Firman ◽  
Keyword(s):  
Sugar Beet ◽  
Agricultural Sector ◽  
Spatial Differentiation ◽  
Raw Material ◽  
Biofuel Production ◽  
Bioenergy Crops ◽  
Positive Trend ◽  
Energy Potential ◽  
Resource Base ◽  
Positive Tendency

In this article analyzes the development of trends of bioenergy crops market development in Ukraine and its current state are analysed. The possibility and feasibility of synergy of mutual development of bioenergy crops market and bio-oil market in Ukraine were noted. The necessity of state support and stimulation of bioenergy crops and different types of biofuels production in Ukraine was stated. A positive trend of growth of planted areas and production of rapeseed in Ukraine was revealed. During the study period (2013-2019) the production of rapeseed was increased by 1.4 times. The greatest energy potential for the production of bioethanol is in the sugar beet subcomplex of the agricultural sector. Over the past few years, the production of sugar beet was at its highest in 2014 (15.7 million tonnes), while the following years saw a decrease in cultivated areas of sugar beet and, consequently, a drop in its gross output - to 8.3 million tonnes in 2020. Significant resource potential for the production of bioethanol also have cereal crops (wheat, rye, barley, maize), the area under which during the last ten years remains relatively stable (14.4-15.3 million ha). Among grain crops the most effective raw material for the production of bioethanol is maize. A positive tendency of biennial growth of planted area under this crop is revealed. The space differentiation of resource base of bioenergy in Ukraine is prominent. The cluster analysis revealed three groups of areas based on the similarity of the energy resources for bioenergy purposes. Two clusters including Khmelnytskyi, Ternopil, Zhytomyr and Chernihiv, Vinnytsia, Cherkasy, Sumy, Kirovograd, Poltava and Kyiv regions should be considered as the most promising areas for concentration of capacities in biofuel production. It is noted that the trajectory of development bioenergetic sector of the country is always conditioned by compromise between compliance with optimal levels of its energy and food security.

scholarly journals Fulani herdsmen/farmers conflict and the challenges of food security in the middle belt region of Nigeria

2021 ◽  
Vol 4 (3) ◽  
pp. 134-139
Author(s):  
Inyang Etim Bassey ◽  
Effiong Eke Nta ◽  
Ekwutosi Offiong
Keyword(s):  
Food Production ◽  
Agricultural Sector ◽  
National Income ◽  
Field Research ◽  
Raw Material ◽  
Industrialized Countries ◽  
Secondary Sources ◽  
Agriculture Sector ◽  
Economic Development And Growth ◽  
Strategic Role

The agriculture sector, the backbone of an economy, provides the basic ingredients to mankind and raw material for industrialization. It plays a strategic role in the process of economic development and growth. Leading industrialized countries of today were once predominantly agricultural economies and still dominate in agriculture. The agricultural sector contributes a major proportion of the national income and caters to a large workforce segment. However, one of the biggest security challenges in Nigeria lately is the expanding clashes between farmers and herders. Today, the conflict has spread over several regions in Nigeria and the Middle-Belt-Region specifically. It is against this foundation that this research is carried out to inspect how conflicts between farmers and herders influence food production, food accessibility, food stability, and food usage in the Middle Belt. The study is based on selected secondary sources and findings from the field research conducted in the Middle Belt region such as Benue, Taraba, Adamawa, Bauchi, Nasarawa, etc. The qualitative research techniques involved in-depth interviews with local people and direct observation. This study observes that the food insecurity in this region is driven by the constant clash between the farmers and herdsmen, which have inflicted fear of going to cultivate their farmland in the lives of these rural farmers, consequently leading to shortages in food production in the region.

scholarly journals LATE BLIGHT SEGMENTATION IN TOMATOES USING SPATIAL DOMAIN METHODS AND COLOUR ANALYSIS

2020 ◽  
pp. 1-4
Author(s):  
I. Galvan- Torres ◽  
A.S. CortésGonzález ◽  
C.N. López- Mejía ◽  
B. Luna- Benoso ◽  
J.C. MartínezPerales
Keyword(s):  
Late Blight ◽  
Agricultural Sector ◽  
Computer Systems ◽  
Plant Diseases ◽  
Economic Losses ◽  
Computer Assisted ◽  
Color Analysis ◽  
Hsv Color Model ◽  
High Incidence ◽  
Assisted Diagnosis

Agricultural productivity is an important factor in a country's economic development. Therefore, the diagnosis of plant diseases is a field of research of great importance for the agricultural sector since it allows us to help recommend strategies to prevent the spread of diseases, thus reducing economic losses. Currently, with the rise of computer systems, computer systems have been developed that allow computer assisted diagnosis in different fields of research, including the agricultural sector. Since late blight is one of the main diseases due to its high incidence and severity, this paper proposes a methodology to obtain late blight segmentation in tomato leaf images through image analysis and color analysis using the HSV color model. The proposed methodology was applied to a set of publicly available PlantVillage images, to which late blight segmentation was obtained.

scholarly journals Sistem Pakar Diagnosa Penyakit Pohon Karet dengan Metode Certainty Factor

2019 ◽  
Vol 4 (2) ◽  
pp. 19
Author(s):  
Anita Sindar R M Sinaga
Keyword(s):  
Expert Systems ◽  
Plant Diseases ◽  
Certainty Factor ◽  
Disease Symptoms ◽  
Rubber Plant ◽  
Factor Method ◽  
Data Process ◽  
System Data ◽  
Type Data ◽  
Output Information

The low production of smallholder rubber is caused by various factors, one of the causes is interference from various diseases. Building a system (computer) that is intelligent to analyze problems, observe the work system of an expert or expert. Expertise comes from the development of knowledge of someone who is competent and directly provides instructions to solve a problem. Certainty Factor is a method to prove whether a fact is certain or not certain in the form of metrics that are usually used in expert systems. This method is very suitable for expert systems that diagnose something that is uncertain. To apply the Certainty Factor method to the expert system, data is needed that will be input into the system, processed and display the results of the diagnosis of rubber plant diseases.  Input: rubber plant disease type data and disease symptom data. Process: carry out analysis and calculation to get the diagnosis results using the Certainty Factor method. Output: information on the diagnosis of rubber plant diseases and percentage of confidence level in the diagnosis results in accordance with the rules of the Certainty Factor method. Keywords : Rubber Disease, Symptoms Diagnosis, Value Combination, Certainty Factor   

scholarly journals ANALISIS DETERMINAN PENDAPATAN PEKERJA MISKIN DI PROVINSI ACEH TAHUN 2015

2017 ◽  
Vol 2 (2) ◽  
pp. 218-235
Author(s):  
Rudi Hermanto ◽  
Teuku Zulham ◽  
Chenny Seftarita
Keyword(s):  
Rural Areas ◽  
Agricultural Sector ◽  
Descriptive Analysis ◽  
Working Hours ◽  
Considerable Effect ◽  
Working Poor ◽  
Classification Analysis ◽  
Independent Variables ◽  
Multiple Classification Analysis ◽  
Multiple Classification

The purpose of this study is to see how the demographic characteristics of the working poor in The Province of Aceh and analyze the factors that determines the income of the working poor as well as the influence of each of these factors. The data used is the data of the National Socioeconomic Survey (Susenas) in 2015 using the model of Multiple Classification Analysis (MCA). Descriptive analysis showed that there is a significant relationship between income and each independent variable gender, region of residence, marital status, age, education level, field of business, sector employment and working hours. MCA results indicate that the independent variables simultaneously significant effect on income. From 8 demographic variables studied, the undertaking of independent variables, sex, age and level of education have a considerable effect on the incomes of the working poor. In an effort to alleviate the working poor, it takes real action especially the improvement of education and vocational training, the development of the agricultural sector, increased investment in potential rural areas, and the development of informal sector.Penelitian ini bertujuan ingin melihat bagaimana karakteristik demografi dari pekerja miskin di Provinsi Aceh dan menganalisis faktor-faktor apa yang menjadi penentu pendapatan dari pekerja miskin serta besar pengaruh dari masing-masing faktor tersebut. Data yang digunakan adalah data hasil Survei Sosial Ekonomi Nasional (Susenas) 2015 dengan menggunakan model Multiple Classification Analysis (MCA). Hasil analisis deskriptif menunjukkan bahwa terdapat hubungan yang signifikan antara pendapatan dan masing-masing variabel bebas jenis kelamin, wilayah tempat tinggal, status perkawinan, umur, tingkat pendidikan, lapangan usaha, sektor pekerjaan, dan jam kerja. Hasil MCA menunjukkan bahwa variabel bebas secara simultan memberikan pengaruh yang nyata terhadap pendapatan. Dari 8 variabel demografi yang diteliti, variabel bebas lapangan usaha, jenis kelamin, umur dan tingkat pendidikan mempunyai pengaruh yang besar terhadap pendapatan pekerja miskin. Dalam upaya pengentasan pekerja miskin, maka dibutuhkan tindakan nyata terutama peningkatan pendidikan dan pelatihan kerja, pengembangan sektor pertanian, peningkatan investasi di daerah perdesaan yang potensial, serta pengembangan sektor informal.

Enterprise Expansion and Opportunities for Expansion in Agriculture

2018 ◽  
pp. 88-101
Keyword(s):  
Agricultural Sector ◽  
Manufacturing Sector ◽  
Youth Participation ◽  
Raw Material ◽  
Going Concern ◽  
Agricultural Transformation ◽  
Agricultural Enterprise ◽  
Business As Usual

It has often been stated that the agricultural sector has the potential to provide the needed raw material for the manufacturing sector. It is pertinent to clearly identify this potential, interrogate why it still remains potential, and more importantly, suggest workable ways to sustainably and profitably exploit the potential as a going concern. This chapter is therefore designed to focus on enterprise expansion and opportunities for expansion in agriculture. The chapter is divided into the following sections: “Characteristics of Agriculture in Nigeria,” “Determinants of Youth Participation in Agriculture,” “Agricultural Enterprise Expansion and Agricultural Transformation,” “Enhancing Enterprise Expansion,” and “Opportunities in Agriculture.” The chapter concludes that for the potential of agriculture in an economy to be realized, the relevant stakeholders should know that business as usual is not an acceptable option; yield-increasing and enterprise-expansion-inducing strategies should be implemented in both the short and the long term. Recommendations are made to enable those engaged in agriculture to profit by it and increase in both output and in scale.

scholarly journals Effect of Pre-hydrolysis on Simultaneous Saccharification and Fermentation of Native Rye Starch

2020 ◽  
Vol 13 (6) ◽  
pp. 923-936 ◽  
Author(s):  
Ewelina Strąk-Graczyk ◽  
Maria Balcerek
Keyword(s):  
Dry Matter ◽  
Agricultural Sector ◽  
Simultaneous Saccharification And Fermentation ◽  
Ethanol Yield ◽  
Matter Content ◽  
Raw Material ◽  
Process Efficiency ◽  
Dry Matter Content ◽  
Sem Images ◽  
Simultaneous Saccharification

Abstract The rising population and increasing demand for food place added pressure on the agricultural sector to maintain high process efficiency while implementing environmentally friendly methods. In this study, we investigate the effect of pre-hydrolysis of native rye starch and its influence on the yield of ethanol obtained by simultaneous saccharification and fermentation (SSF) from high gravity rye mashes with 25% and 28% w w−1 dry matter content. Fermentation was carried out in a 3-day system at a temperature of 35 ± 1 °C using the dry distillery yeast Ethanol Red (Saccharomyces cerevisiae). The characteristics of the tested raw material and changes in the native rye starch during enzymatic hydrolysis were analyzed using a scanning electron microscope (SEM). The SEM images revealed characteristic changes on the surface of the starch, which was found to have a layered structure, as well as interesting behavior by the yeast during SSF when the glucose concentration in the environment was lowered. Both in the mashes with 25% and 28% w w−1 dry matter, starch pre-hydrolysis did not significantly increase either the initial amounts of sugars available to the yeast or the fermentation efficiency and ethanol yield in comparison to the mashes without this pre-treatment.

Parametric Optimization of Linear and Non-Linear Models via Parallel Computing to Enhance Web-Spatial DSS Interactivity

2012 ◽  
Vol 4 (1) ◽  
pp. 14-29
Author(s):  
D. Kremmydas ◽  
A. Petsakos ◽  
S. Rozakis
Keyword(s):  
Optimization Problem ◽  
Agricultural Sector ◽  
Linear Models ◽  
Raw Material ◽  
Energy Crop ◽  
Spatial Decision Support System ◽  
Advanced Technique ◽  
Price Range ◽  
Non Linear ◽  
The Web

A web based Spatial Decision Support System (web SDSS) has been implemented in Thessaly, the most significant arable cropping region in Greece, to evaluate energy crop supply. The web SDSS uses an optimization module to support the decision process launching mathematical programming (MP) profit maximizing farm models. Energy to biomass raw material cost is provided in supply curve form incorporating physical land suitability for crops, farm structure, and Common Agricultural Policy (CAP) scenarios. To generate biomass supply curves, the optimization problem is parametrically solved for a number of steps within a price range determined by the user. The more advanced technique used to solve the MP model, the higher the delay of response to the user. In this paper, the authors examine how effectively the web SDSS response time can be reduced to the user requests using parallel solving of the corresponding optimization problem. The results are encouraging, since the total solution time drops significantly as the problem’s size increases, improving the users’ experience even when the underlying optimization models use advanced, time demanding modeling techniques. These statements are illustrated by comparing linear and non-linear agricultural sector models.

scholarly journals In defense of the old generation: the strategic options to sustain a vintage urea plant production

2018 ◽  
Vol 74 ◽  
pp. 05004
Author(s):  
Diana Mutia Pratiwi ◽  
Sudarna
Keyword(s):  
Agricultural Sector ◽  
Descriptive Analysis ◽  
Process Condition ◽  
High Energy ◽  
Raw Material ◽  
Plant Production ◽  
Feed Ratio ◽  
Urea Fertilizer ◽  
High Production ◽  
High Production Cost

The Need for Urea Fertilizer supply is one of the essential factors for the development of the agricultural sector. However, due to the high energy usage and the increasing price of natural gas as the raw material, some of the old urea fertilizer industry was forced to shut down due to the inability to cover the high production cost. The purpose of this study is to analyze the alternative strategy for the urea industry to be more efficient and also produce good quality urea to remain sustainable. This paper will use descriptive analysis based on the Case Study compared to the literature and related references to find the appropriate and well-implemented alternative. Based on the study, several options can be purposed such as retrofitting in ammonia and urea plant mainly in syn-loop and high-pressure section, and by optimizing the feed ratio and process condition.

Sign in / Sign up

Export Citation Format

Share Document