Modelling Risk in Farm Planning

Visagie, Stephan E.; Ghebretsadik, A.H.

doi:10.1080/03031853.2005.9523728

Cited by 4 publications

(3 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Visagie & Ghebretsadik [15] proposed a mathematical model to study the impact of having an alternate crop rotation to decision planning and integrated crop-livestock scenario. The farm activity is compacted with different crops and livestock management.…”

Section: Literature Reviewmentioning

confidence: 99%

A Mathematical Approach to Optimize Crop Allocation – A Linear Programming Model

Bhatia¹,

Rana²

2020

IJDNE

View full text Add to dashboard Cite

Agriculture plays a significant role in the social and economic development of a country. To get optimum farm outputs; decisions such as crop allocation, crop combinations, operational activities performed for crop production are very crucial. All these factors are needed to optimize in each growing season. Proper farm planning and resource allocation play a significant role in optimizing farm revenues. Thus, the study is carried out to analyze the cropping pattern in different districts of Rajasthan. The survey is conducted, to get an insight about the difficulties faced by the growers in each season. It is observed that the farmers in a region often practice crop rotation to enhance the farm output. The Linear programming approach is an effective tool to determine optimal crop combinations and feasibility of decision variables. Thus, a Linear Programming approach is used to determine the solution of the proposed farm model. The results of the mathematical model formulated show an increase in farm output by adopting optimized cropping pattern. The proposed model provides an alternative so as to maximize farm revenues. LINGO 18.0 Software is used to analyze the result of Linear Programming Model. To establish the crop preference WSM is applied to the model.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

A Mathematical Approach to Optimize Crop Allocation – A Linear Programming Model

Bhatia¹,

Rana²

2020

IJDNE

View full text Add to dashboard Cite

show abstract

“…GM analysis involves the evaluation of the operational costs and returns to production per hectare for a given period (usually per year or per cropping season). It measures the difference between gross revenue and a summation of variable costs (Visagie & Ghebretsadik, 2005). When calculating gross margins, fixed (overhead) costs are not considered because they are always incurred regardless of the level of the enterprise undertaken (Rural Solutions SA, 2013).…”

Section: Methodsmentioning

confidence: 99%

A Stepwise Analysis of Production Returns and Cost Distribution for Chinese Cabbage Produced Under Irrigation in South Africa

Taruvinga¹,

Ndou²,

Ramusandiwa³

et al. 2020

JAS

View full text Add to dashboard Cite

Cultivation of indigenous crops for food and nutritional security has emerged as a topic of interest in South Africa. Commercial cultivation of indigenous crops is promoted especially among smallholder farmers because of their nutritional value and their ability to adapt to marginal soil and climatic conditions. Support for commercial production of specific crops among farmers necessitates the need for optimum use of inputs in production. In order to evaluate optimum input use in production, this study established the profitability and production costs of one of the indigenised leafy vegetables in South Africa, Chinese cabbage, using gross margin analysis. Production costs and profitability evaluations are fundamental tools for analysing cash flow and investment options. The study was based on field trials on different levels of fertilizer (NPK application). The results of the study show that at low production level (10.1 t ha-1), gross income is less than total variable costs (TVC), resulting in a negative gross margin. A movement from low production to medium production (26.1 t ha-1) results in an increase in gross margin, from -R16,664.19 to R29,091.99. The highest gross margin of R82,807.07 is obtained at high production level (44.5 t ha-1). The study supports an interdisciplinary evaluation approach (agronomy and economics) when analysing field trials.

show abstract

“…This was done to minimize total feed production costs suggested by Visagie and Ghebretsadik (2005). Feed grain and silage demand of the beef cattle herd was calculated to satisfy their nutrient requirements.…”

Section: Feed Demand and Supplymentioning

confidence: 99%

Choice of Beef Herd Adaptation Strategy on Canadian Prairie Mixed Farms Under Extreme Climate Events

Poudel¹,

Kulshreshtha²

2016

View full text Add to dashboard Cite

Economic impact of climate extremes on beef operation is expected to be significant due to its direct impact on feed production. Impact of such events on farm management and longer term farm financial situation is relatively unstudied in the Canadian Prairie. This study compared three alternative beef herd management strategies in dealing with climate extreme events under reference climate scenario of 1971-2000 and the future scenario of 2041-2070. The study used farm simulation model that integrated the model of cattle herd simulation, pasture model, crop simulation model combined with models of economic decisions. Purchasing feed and maintaining herd size is preferred option in dealing with drought. Changes in management such as early weaning combined with limit feeding strategies reduce the feed demand and also reduce the financial burden during the years of extreme event, but it has severe negative consequences on amount of slaughter cattle sold. Cull herd strategy not only reduces feed demand but also increases income from sell of herd during the year/s of extreme event, but it severely impacts the farm's long term output supply potential. However, expansion of existing agriculture risk management policy to cover climate risk in beef production is necessary to support farmers in the year/s to extreme events.

show abstract

Modelling Risk in Farm Planning

Cited by 4 publications

References 9 publications

A Mathematical Approach to Optimize Crop Allocation – A Linear Programming Model

A Mathematical Approach to Optimize Crop Allocation – A Linear Programming Model

A Stepwise Analysis of Production Returns and Cost Distribution for Chinese Cabbage Produced Under Irrigation in South Africa

Choice of Beef Herd Adaptation Strategy on Canadian Prairie Mixed Farms Under Extreme Climate Events

Contact Info

Product

Resources

About