A Baseline Survey on Postharvest Handling of Selected Vegetables at Different Locations of Bangladesh

2019 ◽  
Vol 29 (2) ◽  
pp. 161-182
Author(s):  
M. N. Amin ◽  
M. A. Hossain ◽  
M. A. Monayem Miah
Keyword(s):  
Agricultural Production ◽  
Primary Data ◽  
Baseline Survey ◽  
Vegetable Production ◽  
Root Crops ◽  
Jute Sack ◽  
Plastic Bag ◽  
Food Quality And Safety ◽  
Postharvest Handling ◽  
Food Losses

Proper postharvest processing and handling are important parts of modern agricultural production. The adoption of improved postharvest practices can reduce a substantial amount of food losses, improve overall food quality and safety, enhance consumers’ acceptance, and thus add to the value of the marketable products. A baseline survey was conducted on vegetable production, sorting, washing and packaging at four vegetable growing districts such as Narsingdi District, Bogra, Jashore District and Pabna to generate some baseline indicators which will help developing a mechanical device for vegetable washing. Two upazilas from each district were purposively selected based on the existence of primary and secondary vegetable markets. Primary data were collected from randomly selected 71 farmers, 30 Beparis/Paikers and 20 retailers. The study revealed that vegetable washing is generally practiced by farmers and Paikers and it varied from location to location. Sorting and grading of vegetables were done by either farmers or Beparis/Paikers. In all locations, red amaranth and root crops (carrot and radish) were washed by farmers to get a better price. Farmers and traders used bamboo basket, plastic crate, plastic bag and jute sack for packaging of selected vegetables. Washing and grading of vegetables was a profitable activity for the farmers.

scholarly journals Application of Probit Analysis in the Decision of Youths to Participate in Vegetable Production

2020 ◽  
Vol 1 (5) ◽  
pp. 1-7
Author(s):  
Nsikak-Abasi Etim ◽  
Dorothy Thompson
Keyword(s):  
Agricultural Production ◽  
Smallholder Farmers ◽  
National Development ◽  
Probit Analysis ◽  
Primary Data ◽  
Farm Income ◽  
Small Scale ◽  
Vegetable Production ◽  
Probit Regression ◽  
Factors Affecting

Youths are successor farming generation and therefore the future of food security. At present, they constitute about 60% of Nigeria’s population and have over the years contributed significantly to national development. Unfortunately, the present environment makes it  difficult to explore their full potentials in  production through participation in agriculture. The ageing smallholder farmers are less likely to increase capacity needed to sustainably expand agricultural production. There is therefore a pressing need to engage the youth in ways that they can see a promising future in agriculture as well as influence them to build capacity through effective involvement in agricultural production. Several factors however, have continued to hinder capacity building and effective  participation of youths in vegetable farming. An empirical study was conducted to estimate the factors affecting the willingness  of youth to  participate in small scale waterleaf production. The representative waterleaf producers were selected using the multi stage sampling procedures.With the aid of questionnaire, primary data were obtained from 100 farmers. Univariate probit regression model was used to analyze the data. Results of analysis indicated that the most critical factors affecting the participation of youths in waterleaf production were age, educational qualification, size of household members, and farm income. Results indicated that youths who have acquired some form of education were more willing to be involved in waterleaf production. Findings further indicated that youth in families with higher income from farming activities were more willing to participate in waterleaf production.

scholarly journals Structural Change and Its Impact on the Energy Intensity of Agricultural Sector in China

2018 ◽  
Vol 10 (12) ◽  
pp. 4591 ◽  
Author(s):  
Hongyun Han ◽  
Shu Wu
Keyword(s):  
Agricultural Production ◽  
Energy Intensity ◽  
Agricultural Sector ◽  
Scale Economy ◽  
Policy Implications ◽  
Vegetable Production ◽  
Regional Heterogeneity ◽  
Fuel Price ◽  
Agricultural Structure ◽  
The Impact

China’s agricultural structure has undergone significant changes for the past four decades, mainly presenting as the fall of sown proportion of grain crops and the rise of vegetables, as has its energy consumption. Employing the panel data on 30 provinces during 1991–2016, this paper empirically explores the impact of agricultural structure changes (ASC) on the energy intensity of agricultural production (EIAP), direct energy intensity of agricultural production (DEIAP) and indirect energy intensity of agricultural production (IEIAP) in China. Besides, the regional heterogeneity of such impact is examined. The results show that: (1) ASC increases EIAP and IEIAP significantly, while ASC decreases DEIAP, which is explained by the structural effect and different planting modes of different crops; (2) the impact in the three administrative regions is similar to national situation, except the impact of ASC on DEIAP in the West Region, which is explained by regional differences of vegetable mechanization; (3) the result of the six vegetable production regions reveals greater regional heterogeneity, and this is attributed to the scale economy effect and the incremental effect of vegetable mechanization; and (4) fuel price, income, agricultural labor, old dependency ratio, and fiscal expenditure have different but significant impacts on EIAP, DEIAP, and IEIAP. Finally, some policy implications are given.

scholarly journals West Virginia Farm Direct Marketing: A County Level Analysis

2006 ◽  
Vol 38 (3) ◽  
pp. 575-584 ◽  
Author(s):  
Cheryl Brown ◽  
Jesse E. Gandee ◽  
Gerard D'Souza
Keyword(s):  
West Virginia ◽  
Agricultural Production ◽  
Direct Marketing ◽  
Vegetable Production ◽  
County Level ◽  
Housing Value ◽  
Close Proximity ◽  
Part Time ◽  
Direct Market ◽  
Level Analysis

To understand the factors that influence farm direct marketing, a linear regression model is estimated to test the relationships between county-level direct market sales and socioeconomic, agricultural production, and location characteristics for West Virginia. The results show that higher median housing value, increased population density, a younger population, a greater number of direct market farms, more diversity of fruit and vegetable production and closer proximity to Washington, D.C., increase direct market sales. The results have implications for other states with a large proportion of small and part-time farmers, many of whom are located in close proximity to metropolitan areas.

scholarly journals METODY ILOŚCIOWE W BADANIU STRAT I MARNOTRAWSTWA ŻYWNOŚCI W SEKTORZE PRODUKCJI PIERWOTNEJ

2020 ◽  
Vol 20 (4) ◽  
pp. 263-279
Author(s):  
Mikołaj Niedek ◽  
Karol Krajewski ◽  
Sylwia Łaba ◽  
Krystian Szczepański
Keyword(s):  
Food Waste ◽  
Food Chain ◽  
Agricultural Production ◽  
Research Project ◽  
Production Sector ◽  
The Subject ◽  
Food Losses ◽  
Intended Use ◽  
Food Wastage ◽  
The Eu

The subject of the article is the review of methods for obtaining data on the amount of losses generated and food wastage in the agricultural production sector. The topic are also recommended methods for collecting this data in the agri-food chain at the EU level. Agriculture is the first link in this chain and the most food losses occur in it. The article presents the determinants of measuring losses and food waste in agriculture, the importance of defining and monitoring the intended use of the product and qualifying losses as food waste. The methods used to quantify the level of food losses in agriculture were also used in the PROM research project implemented under the GOSPOSTRATEG Program.

scholarly journals Determinants of Farmland Abandonment in Selected Metropolitan Areas of Poland: A Spatial Analysis on the Basis of Regression Trees and Interviews with Experts

2019 ◽  
Vol 11 (11) ◽  
pp. 3071 ◽  
Author(s):  
Wojciech Sroka ◽  
Bernd Pölling ◽  
Tomasz Wojewodzic ◽  
Miroslaw Strus ◽  
Paulina Stolarczyk ◽  
...  
Keyword(s):  
Agricultural Production ◽  
Metropolitan Areas ◽  
Land Use Changes ◽  
Regression Tree ◽  
Primary Data ◽  
Farmland Abandonment ◽  
Migration Rates ◽  
Part Time ◽  
Socio Economic Variables ◽  
Tree Method

Dynamic land use changes in metropolitan areas are global phenomena. The influence of urbanisation processes on farmland is twofold: urban encroachments predominantly take place at the expense of farmland, and also result in farmland abandonment processes, especially in Central Eastern and Southern Europe. This paper analyses determinants of farmland abandonment in 280 municipalities situated in six selected Polish metropolitan areas. The analysis, which covers secondary statistical data as well as primary data collected via a survey among experts, applies the regression tree method. Within the six selected metropolitan areas nearly 9% of the farmland is permanently excluded from agricultural production (actual abandonment), plus another 11.5% is currently not being used for production (semi-abandonment). For actual abandonment, physical and economic sizes of farms, part-time farming, and soil quality constitute the most relevant determinants. Socio-economic variables play a more important role in explaining semi-abandonment than actual abandonment. Temporary exclusion of farmland from agricultural production is connected with urbanisation processes. Higher shares of built-up and urbanised areas, higher population densities, and positive migration rates result in higher shares of semi-abandonment. Naturally, areas characterised by agrarian fragmentation, where due to low agricultural incomes farmers more often decided to abandon agricultural production, were, in particular, subject to this process.

scholarly journals Direct Measurement of Mass and Economic Harvest and Post-Harvest Losses in Spanish Persimmon Primary Production

Agriculture ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 581
Author(s):  
Maria-Angeles Fernandez-Zamudio ◽  
Héctor Barco ◽  
Felicitas Schneider
Keyword(s):  
Primary Production ◽  
Food Chain ◽  
Agricultural Production ◽  
Total Mass ◽  
Complex Problem ◽  
Primary Data ◽  
Economic Losses ◽  
Loss Reduction ◽  
Mass Losses ◽  
And Storage

Globally, one in every three produced kilograms is wasted at some point along the entire agri-food chain. Unfortunately, knowledge about losses and waste is not equally distributed along the food chain. In fact, in some stages the primary data required to properly estimate the magnitude of the problem are lacking. This is especially true for agricultural production, for which studies that have used on-site measurements are scarce. The present study analyses the mass losses and unpaid share that occur during the harvest process and persimmon storage in warehouses in the Valencia region, Spain. The study was carried out using on-site measurements and primary data from the harvest and storage phases. Losses were also classified according to their causes. The total mass and economic losses were estimated as either 29.5% for the total produced volume or 38.5% for the number of finally commercialised kilograms. This work aims to highlight the complex problem in primary production with the mass and economic losses that farmers bear and to show the potential of loss reduction measures.

scholarly journals Monitoring of conditions of agricultural machines’ parts in operation

2014 ◽  
Vol 60 (Special Issue) ◽  
pp. S57-S65 ◽  
Author(s):  
P. Polák ◽  
R. Mikuš ◽  
V. Kročko
Keyword(s):  
Agricultural Production ◽  
Livestock Production ◽  
Operating Conditions ◽  
Vegetable Production ◽  
Agricultural Machine ◽  
Machine Parts ◽  
Agricultural Tractors ◽  
Tractor Diesel ◽  
Agricultural Machines ◽  
Agricultural Operation

This contribution focuses on problems of monitoring the runout of tractor diesel motor parts used in agricultural operation. Crankshafts from the agricultural tractors of type Zetor 6911 are used as samples for measuring the runout and circularity. The first sample of the crankshaft is loaded in the tractor used in livestock production, and the second one is used in vegetable production. Measured values of the runout and circularity of both samples are evaluated by tables and polar diagrams. Results of the experiment show the amount of runout and the following wear of agricultural machine parts in different operating conditions of agricultural production.

Ancient Agriculture and Population at Tikal, Guatemala: An Application of Linear Programming to the Simulation of an Archaeological Problem

1980 ◽  
Vol 45 (4) ◽  
pp. 697-712 ◽  
Author(s):  
D. Bruce Dickson
Keyword(s):  
Linear Programming ◽  
Agricultural Production ◽  
Classic Period ◽  
Late Classic ◽  
Archaeological Data ◽  
Ancient Agriculture ◽  
Intensive Farming ◽  
Root Crops ◽  
Potential Population ◽  
Maya Site

Population estimated for the Late Classic period at the Lowland Maya site of Tikal, Guatemala, is reviewed. Linear programming is described and suggested as a method for simulating the agricultural carrying capacity of the sustaining area of the site, thereby inferring its potential population. Archaeological data on the estimated size of the Tikal sustaining area is presented along with modern agricultural production and caloric output figures for maize, root crops, and ramon seeds. These data are used in the computation of a linear program. The results of the computer runs calculating the maximum population supportable by different combinations of milpa, intensive farming, and aboriculture are discussed. These results suggest that a mixed subsistence strategy in which ramon seed aboriculture and intensive root cropping were combined and were supplemented by kitchen gardening, hunting, gathering, and trade might have supported a population as high as 69,705 to 76,699 people within the boundaries of the site of Tikal during the Late Classic period.

scholarly journals IPM Program Combined with “Rice Fields, Flower Banks” or BIO-IPM Program in Soc Trang Province (Vietnam)

2020 ◽  
Vol 6 (1) ◽  
pp. p1
Author(s):  
NGUYEN TRUNG DUNG ◽  
NGUYEN THI NGOC ANH ◽  
PHAM DINH KIEN
Keyword(s):  
Cost Savings ◽  
Household Survey ◽  
Rural Landscape ◽  
Rice Fields ◽  
Primary Data ◽  
Baseline Survey ◽  
Key Innovation ◽  
Mean And Variance ◽  
The One ◽  
One Way Anova

The paper aims to present the implementation of IPM program in Soc Trang Province in two years 2015 and 2016. To evaluate the program, a lot of primary data was obtained from the farmer household survey at each phase: Baseline survey as before-project (abbreviation S1), implementation of four experimental FFS models according to the Farmer-Field-School approach (S2), survey after FFS implementation (S3), and survey after up scaling or after-project (S4). Totally 1,200 households are in consideration. The comparative methods such as the one-way ANOVA are used to examine differences in mean and variance of agricultural inputs and outputs between different groups S1, S41 and S42. The key innovation of this study includes not only the conventional measures of the IPM program but also biological measures such as “rice fields, flower banks” and green fungus. The main results are a reduction in the use of nitrogen (14.8-17.1%), and pesticides (48-51%), cost savings and higher profits for farmers and a lower environmental impact from growing rice. “Rice fields, flower banks” have not only proven themselves in rice fields but have also spread to villages. The rural landscape is becoming more beautiful in the context of the National Target Program on New Rural Development.

scholarly journals The influence of agricultural diversification on community income in East Taniwel District

2021 ◽  
Vol 883 (1) ◽  
pp. 012089
Author(s):  
La Ega ◽  
Muspida ◽  
E Kembauw ◽  
S J Ferdinandus ◽  
L J Sinay ◽  
...  
Keyword(s):  
Data Analysis ◽  
Rural Communities ◽  
Linear Regression ◽  
Primary Data ◽  
Baseline Survey ◽  
Household Level ◽  
Agricultural Diversification ◽  
Analysis Technique ◽  
Linear Regression Modeling ◽  
The Relationship

Abstract This study entitled “The Effect of Agricultural Diversification on Community Income in the East Taniwel District”. The research objective was to determine the relationship and influence of agricultural diversification on people's income in the East Taniwel District. The data used in this study are primary data from eight villages in East Taniwel District, West Seram District, Maluku Province. This data is the result of a baseline survey at the household level, where the sample is determined using the Slovin formula. The data analysis technique used is the application of the backward method in multiple linear regression modeling based on OLS. The results showed that there was a relationship and influence between agricultural diversification and the income of rural communities in East Taniwel District.

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