scholarly journals Optimum Farm Plan for Higher Net Income in Southern and Eastern Dry Zone of Karnataka

2021 ◽  
Vol 66 (3) ◽  
Author(s):  
Bhavya, A.P.
Keyword(s):  
Sampling Technique ◽  
Farming Systems ◽  
Farming System ◽  
Farm Income ◽  
Annual Income ◽  
Total Expenditure ◽  
Net Income ◽  
Programming Technique ◽  
Dry Zone ◽  
Optimum Plan

The present study was focused on deriving an optimum farm plan which would enhance the farm income in different farming systems in Southern and Eastern dry zones of Karnataka. Data collected from 240 respondents selected using random sampling technique from two districts viz. Mandya and Kolar. The dominant farming systems identified in the study areas were crop + dairy, crop + sheep rearing, Crop + dairy + sericulture, and crop + dairy + horticulture. Linear programming technique was used to work out the maximum attainable return. In Mandya district, crop + sheep farming system were providing an annual income of ` 92468 per farm with the total expenditure of ` 175400, whereas, an optimal plan can fetch a return of ` 278810 per farm with the similar expenditure. In Kolar district, crop + dairy was giving annual income of ` 168216 per farm with the total expenditure of ` 150000 and through an optimum plan, a farmer could earn ` 327996 per farm. Mandya district In farming system with the component of crop + dairy + sericulture, farmers were realizing an annual income of ` 296433 per farm with the total expenditure of ` 274947, where optimization can provide the farmer an income of ` 640487 per farm with similar expenditure and this system is turned out to be most remunerative among all the farming systems

Enhancement in productivity and income sustainability through Integrated farming system approaches for small and marginal farmers of Eastern India

2017 ◽  
Vol 4 (2) ◽  
Author(s):  
SANJEEV KUMAR ◽  
SHIVANI . ◽  
S. K. SAMAL ◽  
S. K. DWIVEDI ◽  
MANIBHUSHAN .
Keyword(s):  
Nutrient Recycling ◽  
Farming Systems ◽  
Fruit Trees ◽  
Farming System ◽  
Eastern Region ◽  
Net Income ◽  
System Productivity ◽  
Integrated Farming ◽  
Systems Models ◽  
The Cost

Integration of different components viz. livestock, fishery, horticulture, mushroom etc. along with field crops not only enhanced productivity but by-products (waste) of one component act as input for another component through resource recycling within the system. Six integrated farming systems models with suitable combinations of Crop, vegetables, fruit trees, fish, livestock, mushroom etc. were made and evaluated at the experimental farm of ICAR Research Complex for Eastern Region, Patna during 2012-16 for harness maximum income, nutrient recycling and employment. Among six combinations, crop + fish + duck + goat resulted as most profitable combination in terms of productivity (RGEY- 22.2t), net income (Rs. 2,15,900/ha), additional employment (170 days/year) with income sustainability index (ISI) by 90.2. Upon nutrient recycling prepared from different wastes from the system Crop + fish + duck + goat combination added N (56.5 kg), P (39.6 kg) and K (42.7 kg) into the soil and reduced the cost of cultivation by 24 percent and was followed by crop + fish + goat combination. Crops grown under IFS mode with different types of manures produced 31 percent higher yield over conventional rice- wheat system. The contribution of crops towards the system productivity ranged from 36.4 to 56.2 %, while fish ranged from 22.0-33.5 %; for goat 25.4-32.9 %; for poultry 38.7 %; for duck 22.0-29.0 %; for cattle 32.2% and for mushroom 10.3 %.

scholarly journals Kontribusi Usahatani Cengkeh terhadap Pendapatan Total Keluarga Petani Cengkeh di Desa Pengeragoan Kecamatan Pekutatan Kabupaten Jembrana

2018 ◽  
pp. 464
Author(s):  
BELLO ARDA UTAMA ◽  
I KETUT BUDI SUSRUSA ◽  
I DEWA GEDE RAKA SARJANA
Keyword(s):  
Household Income ◽  
Random Sampling ◽  
Sampling Technique ◽  
Farm Income ◽  
Farm Household ◽  
Net Income ◽  
Total Income ◽  
Average Income ◽  
One Year ◽  
Farmer Income

Contribution of Clove Farming to Farmers Household Income in Pengeragoan Village Pekutatan Pekutatan District Jembrana Regency Clove is one of agricultural commodities that is commonly found in Pengeragoan Village, Pekutatan District, Jembrana Regency. The Purpose of this research is to find out the farming analysis clove and the large determine contribution of clove farming to the income of farm household in Pengeragoan Village. The sampling technique used was proportional random sampling and samples taken randomly to select the sample by lottery method with 34 clove farmers. The data collection in this study was conducted from early September to the end of September 2017. Research used farming analysis to calculate net income of clove farmers during one year in 2016. Result of the analysis showed that sources of farmer income range from plantation of clove, coconut, cocoa, and banana whereas the non-farm income ranges from trader, servant, and private employees. Contribution of clove farm reaches 80,05% of total income of farmer household Rp 82.346.949,00/year with an average income of Rp 65.917.472,00/year.

scholarly journals ANALISIS USAHATANI JAMUR TIRAM PUTIH (Pleurotusostreatus) DI KELURAHAN SIMPANG BARU KECAMATAN TAMPAN KOTA PEKANBARU

2018 ◽  
Vol 13 (2) ◽  
pp. 38-49
Author(s):  
Retno Dewi Shintia ◽  
Amalia Amalia
Keyword(s):  
Sampling Technique ◽  
Oyster Mushroom ◽  
Farm Income ◽  
Selling Price ◽  
Total Production ◽  
Net Income ◽  
Oyster Mushrooms ◽  
Break Even Point ◽  
The Village ◽  
The City

This study aims to (1) analyze costs and farm income oyster mushroom in the village of Simpang Baru subdistrict Tampan Pekanbaru, (2) analyzing the viability of farming oyster mushroom in the village of Simpang New District of Pekanbaru, (3) Analyze Break Even Point (BEP ) white oyster mushroom business in the village new intersections Handsome District of the city of Pekanbaru. The sampling technique using census method. The results showed that during the production process (4 months) from 5000 baglog oyster mushrooms can produce immediate of 1200 kg, with a selling price at farmer level Rp. 30,000 / Kg. Total gross revenue for Rp.36.000.000, total production cost of Rp. 17,604,912. and net income of Rp. 18,395,088. BEP value sales of Rp. 5,668,708 and BEP unit amounted to 189.88 Kg. BCR value of 0.24 so that it can be concluded that the oyster mushroom farm in the village of Simpang Baru Subdistrict Tampan Pekanbaru City deserves to be continued

scholarly journals AN ANALYSIS OF YIELDS OF KOLA-NUT PRODUCTION, PROCESSING AND MARKETING IN SAGAMU LGA, OGUN STATE, NIGERIA

2017 ◽  
Vol 11 (1) ◽  
pp. 90-105
Author(s):  
E. O. A. OLUWALANA ◽  
L. O. OKOJIE ◽  
F. O ASHAOLU ◽  
V. O. OLANIRAN
Keyword(s):  
Descriptive Analysis ◽  
Sampling Technique ◽  
Farm Size ◽  
Farm Income ◽  
Net Income ◽  
Gross Margin ◽  
Ogun State ◽  
Unit Increase ◽  
Nut Production ◽  
Selection Of

This study on Kola nut production in Ogun State was aimed at describing the socio-economic characteristics of the farmers, net farm income, marketing channels and factors influencing output of kola nut for its impact on food security. Multistage sampling technique was used in the study; the first stage involves the purposive selection of Sagamu Local Government as largest Kola nut farming with 4 communities; namely; Agbowa; Sagamu; Igodo, and Odelemo. The second stage involves simple random selection of 100 kola nut farmers, 25 per community. A structured questionnaire was administered subject to descriptive analysis, multiple regressions, and budgetary analysis. The results revealed that male 82% and female 18% were involved in kola nut production, processing and marketing. Average household size of 6 members with a minimum of 25 years farming experiences. The study revealed that 51% of the farmers sold directly to wholesalers, 37% sold to processors, and 12% sold to retailers. Also, 83%, of the producers and marketers were married 16% were widowed and only 1% divorced. Average age was 58years and average farm size of 2.71 hectares. Average farm net income was ₦208,680.40 per annum with the total revenue of ₦291,149 and a gross margin of ₦237,789.50 per annum. The average total cost incurred was calculated as ₦82,468.40 being cost of labour, transportation and items such as cutlass, hoes and files. Regression analysis used to determine the factors affecting the output of kola nut showed that farm size, age of kola nut plantation and the age of farmers were significant at 10%, 5% and 1% respectively using double log equation and the model was significant at 1%. The age of farmers (x1) was negatively significant which implies that as farmers reach old age, this may serve as hindrance due to physical inability to undertake vigorous farm activities hence reduction in output occurs by 13.3%. Farming experience (x2) was negatively correlated with output of kolanut indicating that a unit increase in experience of kolanut farmers will decrease output by 12.3%. Farm size was found to positively significant which implies that a unit increase in farm size will increase output by 83.1%.The result revealed that kola nut business is a profitable venture and male dominated. The women could be encouraged to invest in the business to increase their income and livelihood. 

Relative profitability of farming systems research and development (FSRD) project farmers and non-project farmers of integrated farming systems in Tangail district of Bangladesh

2018 ◽  
Vol 16 (1) ◽  
pp. 117-122
Author(s):  
Sajia Sharmin ◽  
M Harun Ar Rashid ◽  
Ratna Begum ◽  
Sadia Sharmin Hoque
Keyword(s):  
Farming Systems ◽  
Farming System ◽  
Farm Income ◽  
Cost Ratio ◽  
Benefit Cost Ratio ◽  
Systems Research ◽  
Integrated Farming ◽  
Human Labor ◽  
Technological Intervention ◽  
Relative Profitability

Integrated farming system modifies the commercial farming system which ensures higher food production to equate the demand, environmental protection through effective recycling of waste and increased farm income. The present study was undertaken to examine the relative profitability of FSRD project farmers and non-project farmers of integrated farming system. Eighty (80) farmers (40 from FSRD project and 40 from non-project farmers) were selected from Kalihati Upazila under Tangail district of Bangladesh. In the study area, vegetables, fish and poultry enterprises were integrated under technological intervention. The waste of poultry farm was used in fish production and the soil of the pond was used in vegetables cultivation. Per hectare net returns from integrated farming were estimated at Tk513458.10 and Tk256511.90for FSRD project farmers and non-project farmers, respectively. Benefit cost ratio (BCR) was 1.66 for FSRD project farmers and1.37 for non-project farmers. In functional analysis, human labor, fingerling, feed, fertilizer, insecticides costs in case of FSRD project farmers and human labor, feed, salt and lime costs in case of non-project farmers had significant impact on per hectare return of integrated farming. FSRD project farmers were more profitable than the non-project farmers. Therefore, it can be concluded that there is great scope to improve the overall economic condition of farmers through introducing integrated farming system in Tangail District of Bangladesh.J. Bangladesh Agril. Univ. 16(1): 117-122, April 2018

scholarly journals Evaluation of Integrated Farming System Model for Small and Marginal Farmers of Telangana State

2020 ◽  
pp. 126-134
Author(s):  
M. Goverdhan ◽  
Ch. Pragathi Kumari ◽  
S. Sridevi ◽  
M. V. Ramana ◽  
K. Suresh
Keyword(s):  
Farming Systems ◽  
Farming System ◽  
Soil Productivity ◽  
Cash Income ◽  
Rice Grain ◽  
Net Income ◽  
Net Returns ◽  
Systems Model ◽  
Integrated Farming ◽  
Total Productivity

The study was conducted to develop Integrated Farming Systems (IFS) model for limited irrigation situation. The land was earmarked for developing 1 ha. land for marginal/small farmers with crops, horticulture, fodders and animal components. This system resulted in total productivity of 41.4 t ha-1 yr-1 Rice Grain equivalent Yield (RGEY) along with employment generation of 830 man days. The net returns from 1 ha of crop + livestock (dairy and goat) + horticulture farming systems model was Rs. 2,17,336/-. Of this total net income, crop component including fodder comprised 27.74%, horticulture component comprised 4.41% and livestock unit shared 67.85%. Besides cash income, IFS generated employment for family labour. Recycling of bi-products from the livestock unit, sustains soil productivity.

scholarly journals Economic analysis of integrated farming systems in the Kuttanad region of Kerala state, India: A case study

2020 ◽  
Vol 12 (2) ◽  
pp. 270-276
Author(s):  
Aiswarya Sabu ◽  
S Padma Rani ◽  
A Vidhyavathi
Keyword(s):  
Resource Allocation ◽  
Farming Systems ◽  
Farm Income ◽  
Cost Ratio ◽  
Total Income ◽  
Programming Technique ◽  
Net Returns ◽  
Integrated Farming ◽  
Kerala State ◽  
Rice Fish

Agriculture, with its allied sectors, is unquestionably the largest livelihood provider in India. According to Committee on Doubling of Farmers’ Income Report, the average annual earning of a small and marginal farmer household was Rs 79,779 in 2015-16 and indicates that 86% of farmer households earn only 9% of total income and rest of the farmers earn 91% of total income. Integrated farming system practised mostly by small and marginal farmers, is a viable option for increasing farm income. The present study was undertaken to identify the farming systems practised by small and marginal holdings in Kuttanad region of Kerala state, India and also attempts to assess the profitability of these farms and suggest optimal farm plans using linear programming technique. The study revealed that rice + fish and Coconut + Banana+ Dairy cow + Poultry+ Goat were the most profitable farming systems with a benefit cost ratio of 2.63 and 2.86, respectively. The resource allocation in the existing plan was sub-optimal. The optimisation of resource use led to maximization of net returns, indicating the potential for realising greater income. The net returns of rice + fish increased from Rs. 181724 to Rs. 220010 in the optimal plan. The study also suggests the extent to which net returns can be increased with additional units of constraint resources viz., land/labour. The net returns in FS IV can be increased by Rs.286177.9 per additional acreage of land allotted.  Thus, the farmers in Kuttanad can increase their income by optimal resource allocation and by deploying additional units of land or labour.

scholarly journals Factors Influencing Economic Viability of Small and Marginal Farms in Rayalaseema Region of Andhra Pradesh, India

2021 ◽  
pp. 48-57
Author(s):  
M. Ramakrishna ◽  
I. Bhavani Devi ◽  
S. Rajeswari ◽  
P. V. Satyagopal ◽  
G. Mohan Naidu
Keyword(s):  
Andhra Pradesh ◽  
Sampling Technique ◽  
Farm Size ◽  
Farm Income ◽  
Net Income ◽  
Economic Surplus ◽  
Factors Influencing ◽  
Live Stock ◽  
Multistage Sampling ◽  
Selection Of

This study was conducted to estimate the factors influencing the viability of small and marginal farms in Rayalaseema region of Andhra Pradesh. Multistage sampling technique was employed for selection of samples at different levels (districts, mandals and villages) in the present study. A sample of 120 farmers was selected from two districts, six mandals and six villages. The farmers were categorized according to their land holding size into marginal (<1 ha) and small (1-2 ha) category. On the basis of economic surplus left, the sample farmers were grouped as viable and nonviable farmers. The farmers having positive economic surplus are viable farmers and the farmers with negative economic surplus are non-viable farmers. Out of 120 sample farmer’s only 37 farmers were viable and 83 remained non-viable. It is found that net income from live stock and dairy and net income from crops were the major significant discriminating factors that discriminate viable and non-viable farmers. Other significant factors were off farm income, farm size and family expenditure.

Adoption of African indigenous vegetables into agro-pastoral livelihoods for income and food security

2016 ◽  
Vol 6 (2) ◽  
pp. 110-126 ◽  
Author(s):  
Patience Mlongo Mshenga ◽  
Mwanarusi Saidi ◽  
Agnes O. Nkurumwa ◽  
Juma Riziki Magogo ◽  
Shem Ipomai Oradu
Keyword(s):  
Food Security ◽  
Diffusion Theory ◽  
Sampling Technique ◽  
Farming Systems ◽  
Farm Size ◽  
Farm Income ◽  
Content Type ◽  
Factors Influencing ◽  
African Indigenous Vegetables ◽  
Indigenous Vegetables

Purpose The purpose of this paper is to determine the factors influencing adoption of African indigenous vegetables (AIVs) into the agro-pastoral farming systems aiming at improving livelihoods. Design/methodology/approach The paper is based upon the diffusion theory which is linked to the random utility theory. A survey of 205 agro-pastoral households obtained through multistage sampling technique was used. Factors influencing adoption of AIVs were estimated using a logit model. Findings Findings indicate that the acreage under AIVs was still very low compared to other crop enterprises with the most common types of AIVs grown being Solanum nigrum, Amaranthus spp., Cucurbita maxima, Vigna unguiculata, Basella alba and Cleome gynandra. Factors influencing adoption were found to be gender, age, farm size, education level, off-farm income and number of visits to extension officer. Research limitations/implications Limitations include reliance on respondents’ willingness to provide correct information. Originality/value This paper adds value in its contribution to literature on diversifying agro-pastoral livelihoods through production of AIVs for income and food security.

scholarly journals Improving Productivity in Integrated Fish-Vegetable Farming Systems with Recycled Fish Pond Sediments

Agronomy ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. 1025
Author(s):  
Chau Thi Da ◽  
Phan Anh Tu ◽  
John Livsey ◽  
Van Tai Tang ◽  
Håkan Berg ◽  
...  
Keyword(s):  
Organic Amendments ◽  
Farming Systems ◽  
Farming System ◽  
Chemical Fertilizer ◽  
Fish Pond ◽  
Nutrient Concentrations ◽  
Farm Income ◽  
Cucumis Sativus L ◽  
Pangasianodon Hypophthalmus ◽  
Pond Sediments

The increasing intensification of aquaculture systems requires the development of strategies to reduce their environmental impacts such as pollution caused by the discharge of nutrient rich sediments into local water bodies. Recycling of fish pond sediments (FPS) as fertilizer has been proposed as a possible solution that may also reduce the reliance on synthetic fertilizers. With a case study in the Mekong Delta, Vietnam, we determined suitable mixtures of striped catfish (Pangasianodon hypophthalmus) pond sediment (PPS) and locally sourced organic amendments of rice straw (RS), or common water hyacinth (WH) to fertilize cucumber plants (Cucumis sativus L.) in an integrated cucumber–giant gourami fish (Osphronemus goramy) farming system. Highest nutrient concentrations were found when mixing 30% PPS with 70% RS or WH. When used in combination with chemical fertilizer, it was found that a 25% to 75% reduction in chemical fertilizer application could be achieved, while also increasing cucumber yields, with the highest yields found when RS was used in organic amendments. In combination with the additional income from fish production, integrated farming systems such as that demonstrated in this study, may increase both farm income and production diversity.

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