scholarly journals Building responsive bio-economic models to replicate complex farm management decisions for mixed irrigation farming systems in southern NSW

2021 ◽  
Keyword(s):  
Farming Systems ◽  
Economic Models ◽  
Farm Management ◽  
Management Decisions

scholarly journals Technical and Economic Models to Support Heifer Management Decisions: Basic Concepts

1997 ◽  
Vol 80 (7) ◽  
pp. 1406-1415 ◽  
Author(s):  
M.C.M. Mourits ◽  
A.A. Dijkhuizen ◽  
R.B.M. Huirne ◽  
D.T. Galligan
Keyword(s):  
Economic Models ◽  
Management Decisions ◽  
Basic Concepts

scholarly journals Is the choice of a farm’s commercial market an indicator of agricultural intensity? Conventional and short food supply chains in periurban farming systems

2016 ◽  
Vol 11 (1) ◽  
pp. 1 ◽  
Author(s):  
Rosalia Filippini ◽  
Elisa Marraccini ◽  
Sylvie Lardon ◽  
Enrico Bonari
Keyword(s):  
Land Use ◽  
Supply Chains ◽  
Market Orientation ◽  
Food Supply ◽  
Farming Systems ◽  
Farm Management ◽  
Food Supply Chains ◽  
Agricultural Intensity ◽  
The Individual ◽  
Short Food Supply Chains

Short food supply chains (SFSCs) have been identified as an economic opportunity for agriculture under urban pressure, as well as drivers for more sustainable farming systems. However, few studies have focused on the intensity of periurban farms that participate in such SFSCs, compared with the performance of the other farms. In this paper, we examined the relationship between agricultural intensity and the market orientation in a representative sample of farms in the urban area of Pisa (Italy). We define <em>agricultural intensity</em> as the intensity of land use and its main drivers (<em>e.g</em>., farm management or the individual characteristics of farmers), and <em>market orientation</em> as the ratio of farm produce within conventional, short or mixed foodsupply chains. The results suggest that the market orientation of periurban farming systems is more correlated to the indicators of farm management and land use intensity than to the individual farmer’s characteristics. This result provides the first evidence that market orientation is a driver of intensity, and that individual farmer’s characteristics are not significantly different in the three groups of market orientation. These findings could be generalised to other urban areas and correlated with the main orientation of farming systems in order to support both the assessment of farming systems and the implementation of innovative urban food policies.

scholarly journals Estimating the efficiency level of different tea farming systems in Rize Province Turkey

2019 ◽  
Vol 49 (12) ◽  
Author(s):  
Shamsheer ul Haq ◽  
Ismet Boz
Keyword(s):  
Root Zone ◽  
Farming Systems ◽  
Fertilizer Application ◽  
Farm Management ◽  
Soil Test ◽  
Data Envelopment ◽  
Related Factors ◽  
Yield Level ◽  
Stratified Sample ◽  
Negative Effect

ABSTRACT: The primary purpose of this study was to analyze the efficiency level of tea farms operated by owners and shareholders, and to explore the effect of different decisional, structural and management factors on efficiency. The data were collected from a stratified sample of 138 tea farmers operated in Rize province Turkey in 2017. The data envelopment analysis (DEA) program was used to estimate the efficiency scores. Tobit model was used to explore determinants of technical efficiency. Results disclosed that farmers can reduce their inputs use by 43% without compromising their yield level. However, they have low economic efficiency (0.41). Shareholder-operated farms were highly efficient (0.76) than the owner-operated farms. The factors such as old tea parcels, high land slope, and altitude were having a significant negative effect on farms’ efficiency. Applying fertilizer in the root zone or mixed with soil, terracing of farmland, and performing of soil test was positively and significantly contributing to efficiency. Generally, the efficiency of tea farmers is low, and mostly farm management and structure related factors were negatively affecting the farmer’s efficiency. The farmers should be aware of associated benefits with early replanting tea, fertilizer application in the root zone and terracing to control their production cost.

Conservation and Sustainable Management of Agroecosystems

2019 ◽  
pp. 126-143
Author(s):  
Nicola P. Randall ◽  
Barbara Smith
Keyword(s):  
Nutrient Management ◽  
Cropping Systems ◽  
Ecological Engineering ◽  
Farming Systems ◽  
Agroforestry Systems ◽  
Farm Management ◽  
Agricultural System ◽  
Alternative Systems ◽  
Biological Impacts

This chapter focuses on the role of farm management in biodiversity conservation (and the potential conflicts and synergies between them). It addresses the question of the relationship between productivity and biodiversity, and how this varies between spatial scale and agricultural system. Different methods of farm management for improved biodiversity and resource management on farmland are presented. The focus areas are reintroducing diversity, sustainable pest and nutrient management, and the role of alternative systems such as organic and biodynamic agriculture. Frameworks for regulating the biological impacts of agriculture (e.g. pesticide regulation, ecological engineering, and funding for conservation are also introduced. Other case studies may include organic farming systems, agroforestry systems, and perennial-based cropping systems, as well as the use of integrated pest management techniques.

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