scholarly journals Generating the Baseline in the Early Detection of Bud Rot and Red Ring Disease in Oil Palms by Geospatial Technologies

2020 ◽  
Vol 12 (19) ◽  
pp. 3229
Author(s):  
Mauricio Viera-Torres ◽  
Izar Sinde-González ◽  
Mariluz Gil-Docampo ◽  
Vladimir Bravo-Yandún ◽  
Theofilos Toulkeridis
Keyword(s):  
Early Detection ◽  
Gross Domestic Product ◽  
Oil Palm ◽  
Vegetation Index ◽  
Agricultural Sector ◽  
Vegetation Indices ◽  
Spatial Behavior ◽  
Domestic Product ◽  
The Republic ◽  
Aircraft System

Oil palm cultivation in Ecuador is important for the agricultural sector. As a result of it, the country generates sources of employment in some of the most vulnerable zones; it contributes 0.89% of the gross domestic product and 4.35% of the agricultural gross domestic product. In 2017, a value of USD $252 million was generated by exports, and palm contributed 4.53% of the agricultural gross domestic product (GDP). It is estimated that 125,000 hectares of palm were lost in the Republic of Ecuador due to Red Ring Disease (RRD) and specifically Bud Rot (BR). The current study aimed to generate an early detection of BR and RRD in oil palm. Image acquisition has been performed using Remotely Piloted Aircraft System (RPAS) with Red, Green, and Blue (RGB) cannons, and multispectral cameras, in study areas with and without the presence of the given disease. Hereby, we proposed two phases. In phase A, a drone flight has been conducted for processing and georeferencing. This allowed to obtain an orthomosaic that serves as input for obtaining several vegetation indices of the healthy crop. The data and products obtained from this phase served as a baseline to perform comparisons with plantations affected by BR and RRD and to differentiate the palm varieties that are used by palm growers. In phase B, the same process has been applied three times with an interval of 15 days in an affected plot, in order to identify the symptoms and the progress of them. A validation for the diseases detection has been performed in the field, by taking Global Positioning System (GPS) points of the palms that presented symptoms of BR and RRD, through direct observation by field experts. The inputs obtained in each monitoring allowed to analyze the spatial behavior of the diseases. The values of the vegetation indices obtained from Phase A and B aimed to establish the differences between healthy and diseased palms, with the purpose of generating the baseline of early responses of BR and RRD conditions. However, the best vegetation index to detect the BR was the Visible Atmospherically Resistant Index (VARI).

HEALTHINESS OF OIL PALM PLANTATION TOWARDS SUSTAINABILITY OF ENVIRONMENT

2020 ◽  
Vol 7 (1) ◽  
pp. 21
Author(s):  
Faradina Marzukhi ◽  
Nur Nadhirah Rusyda Rosnan ◽  
Md Azlin Md Said
Keyword(s):  
Oil Palm ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Satellite Image ◽  
Vegetation Indices ◽  
Soil Nutrient ◽  
Oil Palm Plantation ◽  
Sustainable Environment ◽  
Moisture Analysis ◽  
The Relationship

The aim of this study is to analyse the relationship between vegetation indices of Normalized Difference Vegetation Index (NDVI) and soil nutrient of oil palm plantation at Felcra Nasaruddin Bota in Perak for future sustainable environment. The satellite image was used and processed in the research. By Using NDVI, the vegetation index was obtained which varies from -1 to +1. Then, the soil sample and soil moisture analysis were carried in order to identify the nutrient values of Nitrogen (N), Phosphorus (P) and Potassium (K). A total of seven soil samples were acquired within the oil palm plantation area. A regression model was then made between physical condition of the oil palms and soil nutrients for determining the strength of the relationship. It is hoped that the risk map of oil palm healthiness can be produced for various applications which are related to agricultural plantation.

scholarly journals Geographical Indication and Regional Development: Cause or Consequence

2019 ◽  
Vol 11 (3) ◽  
pp. 535
Author(s):  
Alan Malacarne ◽  
Liaria Nunes da Silva ◽  
Camila Souza Vieira ◽  
Ricardo Fontes Macedo ◽  
Andreia Malacarne ◽  
...  
Keyword(s):  
Gross Domestic Product ◽  
Regional Development ◽  
Agricultural Sector ◽  
Intrinsic Value ◽  
Domestic Product ◽  
Geographical Indication ◽  
Starting Point ◽  
Per Capita

The Geographical Indication is an instrument of protection to products and services that have intrinsic value. The cities of Bento Gonçalves, Flores da Cunha, Monte Belo do Sul, Farroupilha, Paraty, Urussanga, Salinas and Abaíra are highlights in the Brazilian agricultural sector. These regions have territorial demarcations with a Geographical Indication certification, where the producers live in the same region and can sell their own products with this seal of quality. An analysis has as a starting point the following study problem: Is the success of the implementation of a Geographical Indication linked to the development of the region? The results showed that only the Gross Domestic Product per capita is not sufficient to prove a record of Geographic Indication was actually implemented successfully in a certain region or not, however it can be observed that in the developed regions the trend is much higher.

scholarly journals Toolkit for Strategic Analysis of the Agricultural Sector Development in a Market Environment

2020 ◽  
pp. 107-113
Author(s):  
Nataliia Sirenko ◽  
◽  
Kateryna Mikulyak ◽  
Keyword(s):  
Gross Domestic Product ◽  
Balanced Scorecard ◽  
Agricultural Sector ◽  
Positive Impact ◽  
Innovation Policy ◽  
Fund Raising ◽  
Domestic Product ◽  
Strategic Analysis ◽  
Market Environment ◽  
State Support

The rapid deployment of global globalization processes, the intensification of competition, the active advancement of Ukraine on the path of European integration have a decisive influence on the economic and social development of the agricultural sector. The purpose of the article is to substantiate the toolkit for strategic analysis of the of Ukraine's agricultural sector development in a market environment. Strategic analysis tools with the use of balanced scorecard, PEST analysis and economic and mathematical modeling have been defined. The tools included in the system of balanced indices (investment return, fund return, fund-raising and productivity in agriculture) were analyzed and the state of development of the agricultural sector was assessed. Opportunities and threats to the development of the agrarian sector are identified by means of PEST analysis (political, economic, social and technological factors) with the use of expert assessments and the model of influence of factors (volume of capital investments, amount of expenditures of general and special fund and indirect state support) on the key indicator of development is the volume of agrarian gross domestic product. It was established that the volume of agrarian gross domestic product is most influenced by the amount of indirect state support (due to the special VAT regime of activity in the field of agriculture, forestry and fisheries, as well as fisheries and at the expense of a fixed agricultural tax (of the fourth group single tax)). The strategic guidelines for the development of the agricultural sector in the market environment are regulations that successfully combine the key principles of financial and innovation policy for material support and modernization of agricultural production. Adoption of such documents will have a positive impact on agricultural GDP growth as a strategic development goal of agricultural sector.

scholarly journals Dampak output GDP sektor pertanian terhadap masalah pembangunan ekonomi di Indonesia (kemiskinan dan pengangguran)

2018 ◽  
Vol 13 (1) ◽  
pp. 22-28
Author(s):  
Candra Mustika ◽  
Emilia Emilia
Keyword(s):  
Gross Domestic Product ◽  
Agricultural Sector ◽  
Domestic Product ◽  
Unemployed People ◽  
Average Value

This study aims to analyze the development of agricultural GDP output and poverty and unemployment during the period 1993 – 2014 and analyze the effect of the GDP Output of the agricultural sector on the level of poverty and unemployment in Indonesia in that period. The results showed that during the period of 1993-2014 the data on gross domestic product (GDP) originating from the agricultural sector continued to fluctuate in the increase and decrease, the average GDP value of the agricultural sector is 496.9 trillion with an average value of 17%. The regression results in the first model show that agricultural sector GDP does not have a significant effect on poverty and the regression results in the second model show that agricultural GDP does not have a significant effect on the number of unemployed people in Indonesia  

scholarly journals The effects of credit financing in agriculture on the domestic product in agriculture in the Republic of Serbia

2021 ◽  
Vol 14 (3) ◽  
pp. 1-21
Author(s):  
Duško Ranisavljević
Keyword(s):  
Banking Sector ◽  
Agricultural Sector ◽  
Statistical Correlation ◽  
Bank Loans ◽  
Domestic Product ◽  
Agricultural Producers ◽  
Noticeable Increase ◽  
Positive Effects ◽  
The Republic ◽  
The Impact

In recent years, the banking sector has increasingly turned to the agricultural sector. There is a noticeable increase in the total claims of the banking sector from registered farms in the period 2012-2020, while the part of the domestic product generated by the agricultural sector also recorded growth, but not in the same percentage as bank loans to agriculture. The aim of this paper is to examine the interdependence of the increase in total claims of banks on registered agricultural producers with the increase in the domestic product generated by the agricultural sector. The method of statistical correlation was used in this paper. The impact and changes of investment loans in agriculture, loans for working capital, but also the change in bank claims from agricultural producers based on interest and fees have been analyzed. The conclusion is that there is a connection between loans and the domestic product of the agricultural sector, but that there are other factors that have an impact, too. Although in recent years the banking sector has been more open to the agricultural sector and although loans have become more affordable, it is necessary to create conditions for even greater availability of loans to agricultural producers, which would create positive effects on agriculture.

scholarly journals Selected Macroeconomic Variables and Agricultural Sector in Nigeria

2021 ◽  
Vol 7 (06) ◽  
Author(s):  
James Ese Ighoroje ◽  
Catherine, Ogheneovo Orife
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Gross Domestic Product ◽  
Money Supply ◽  
Agricultural Sector ◽  
Least Square ◽  
Domestic Product ◽  
Agricultural Output ◽  
Macroeconomic Variables ◽  
Ex Post

The study investigated effect of selected macroeconomic variables on agricultural sector output in Nigeria from 1987 - 2019. Annual Agricultural Output (AAO) represented the dependent variable for the study while gross domestic product, interest rate, money supply, and exchange rate represented the explanatory variables. Ex-post factor research design was employed for the study. Augmented Dickey Fuller Unit Roots test and Ordinary Least Square (OLS) Regression techniques were used to analyze data collected. The empirical investigation showed that gross domestic product as well as money supply has a positive and significant effect on agricultural output, while interest rate and exchange rate exerted a negative and insignificant effect on agricultural output. From the study, selected macroeconomic variables have positive effect on agricultural output in Nigeria and this has tremendously contributed to the country's growth and development. The study recommends amongst other; that government should accelerate the rate of economic growth by investing heavily on the agricultural sector so as to boost domestic production and enhance exportation in order to stabilize exchange rate while curbing inflation; give incentives to banks extending agricultural loans by lowering the lending rate on agricultural loans to ease access to funds for agricultural investment.

scholarly journals Potensi dan Prospek Industri Kecil

The Winners ◽  
2006 ◽  
Vol 7 (2) ◽  
pp. 164
Author(s):  
Dedi Walujadi
Keyword(s):  
Gross Domestic Product ◽  
Empirical Evidence ◽  
Agricultural Sector ◽  
Manufacturing Sector ◽  
Value Added ◽  
Manufacturing Industries ◽  
Domestic Product ◽  
Small Scale ◽  
Main Contributor ◽  
Economic Contribution

The manufacturing sector has retained its importance in the Indonesian Economy. Since 1990 it has surpassed the agricultural sector as the main contributor to the Gross Domestic Product (GDP). Article analyses strenght and weaknesses of the small-scale manufacturing industries (SSIs). By ussing the economic contribution approach and the framework proposed by Pyke, based on 2003 data provided by BPS statistics Indonesiathe study investigates the SSIs performance in relation to their economic contribution, the collective efficiency, constant innovation and economic ofscope strategy. It is conluded that Pyke’s framework was not apply since SSIs facing lack of social infrastructures and knowledge, and mostly less educated compared with the larger one. The empirical evidence also shows that in terms of value added and labor absorption, its share less than 1 % and 16 % respectively of the whole of industrialsectors. 

Estimating the burden of market loss due to aflatoxins in maize: methods and estimates for Thailand

2015 ◽  
Vol 8 (4) ◽  
pp. 459-464 ◽  
Author(s):  
G.A.S. Lubulwa ◽  
P. Siriacha ◽  
P.J. Markwell ◽  
J.I. Pitt
Keyword(s):  
Gross Domestic Product ◽  
Agricultural Sector ◽  
Agricultural Research ◽  
Economic Loss ◽  
Aflatoxin Contamination ◽  
Poultry Meat ◽  
Domestic Product ◽  
Fresh Water Fish ◽  
Data Set ◽  
Aflatoxin Level

This communication updates and enhances earlier estimates of the burden of market loss associated with aflatoxin contamination of maize in Thailand using two unrelated data sets. The first, supplied by Mars Petcare (Thailand) Ltd. was compiled in 2010 from two sets of 295 random samples of maize, one collected at harvest and the second after drying, from two regions that produce more than 70% of the commercially grown maize in Thailand. The second data set was compiled between 1989 and 1993 under a collaborative research project funded by the Australian Centre for International Agricultural Research, the Commonwealth Scientific and Industrial Research Organisation and project partner countries in South East Asia. It provides aflatoxin concentrations in 108 maize samples randomly selected from retail markets in Thailand. This study shows that, even with the low aflatoxin levels found in the first data set, a burden of economic loss in Thailand exists, estimated here at about US$ 6.9 million per annum (about 0.05% of agricultural sector gross domestic product in Thailand in 2009). If the higher aflatoxin levels in the second data set are representative, then the burden of economic loss in Thailand could exceed US$ 100 million per annum (about 0.85% of agricultural sector gross domestic product), based on 2009 production and prices data. Most of the losses are borne by producers of chicken meat, eggs, pig meat, duck meat, freshwater fish, milk and maize, in descending order of magnitude of loss. This communication enhances earlier estimates by broadening the scope to include milk and fresh water fish, by disaggregating poultry meat into chicken and duck meat, and by extending the analysis to cover the impacts of aflatoxins under a low aflatoxin level scenario.

scholarly journals ANALISIS PERTUMBUHAN EKONOMI DAN KEUNGGULAN SEKTOR PERTANIAN INDONESIA

Agro Ekonomi ◽  
2017 ◽  
Vol 15 (1) ◽  
pp. 63
Author(s):  
Nur Fitriana ◽  
Dwidjono Hadi Darwanto ◽  
Slamet Hartono
Keyword(s):  
Growth Rate ◽  
Gross Domestic Product ◽  
Agricultural Sector ◽  
Domestic Product ◽  
Economic Sector ◽  
Business Sector ◽  
Location Quotient ◽  
Linear Pattern ◽  
East Kalimantan ◽  
Table Analysis

The study aims: (1) to measure the growth rate of economic sector based on Gross Domestic Product; (2) to determine contribution of economic sector to GDP; (3) to measure contribution trend of economic sector of GDP and to determine basic sectors inprovinces of Indonesia. The data used is secondary datafrom Badan Pusat Statistik, i.e. Gross Regional Domestic Product and Gross Domestic Product according with 1993 constant price. Data included overall provinces in Indonesia among 19842003. Table analysis, Location Quotient, shift-share, and Klassen Typology were used to analyze. The results are: (1) growth rate o/GDP is positively fluctuated, except at 1998 due to economic crisis; (2) contribution ofagricultural sector; mining and quarrying sector; and services sector weredecreased Contribution of manufacturing industries sector; electricity, gasand water supply sector; trade, restaurant and hotel sector; and transportation and communication sector were increased. Contribution of construction sector and finance and rent of building and business sector werefluctuated; (3) overall sector follow quadratic pattern, exceptfinance, building rent, and business sector that follow linear pattern; (4) agricultural sector was the basic sector in ·26 provinces, except in East Kalimantan, Banten, WestJava and Jakarta.

Designing a Multi-Criteria Decision-Making Framework to Reduce the Post-COVID-19 Impact on SMEs

2021 ◽  
pp. 150-167
Author(s):  
Suchismita Satapathy
Keyword(s):  
Decision Making ◽  
Gross Domestic Product ◽  
Agricultural Sector ◽  
Small And Medium Enterprises ◽  
Vital Role ◽  
Domestic Product ◽  
Multi Criteria Decision Making ◽  
Assembly Lines ◽  
Migrant Laborers ◽  
Medium Enterprises

After the agricultural sector, micro, small, and medium enterprises (MSME) play a vital role in the development of India. Micro, small, and medium enterprises (MSME) are contributing about 25% of the country's GDP (gross domestic product) from service activities and 33% to the manufacturing amount produced for India. Micro, small, and medium (MSME) entrepreneurs have been highly impacted due to the COVID-19 pandemic lockdown. Due to lockdown, MSME sector who could not export, nor get their ancillary parts, had problems with transportation leading to the inability to do marketing. Most important migrant laborers rushed to their villages or natives. Hence, without labor or workforce, the assembly lines stopped. In this chapter, an attempt is made to identify the challenges of the MSME sector and deal with the efforts often taken to restart them.

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