Fars province with a share of more than 16 percent holds the highest rank in producing tomato in Iran. This study aims at determining priorities for tomato PROCESSING centers in Fars province’s townships. To achieve the study objective a distance minimizing pattern was used for transportation network between producing and PROCESSING centers as well as PROCESSING and consumption centers. A part of the study data was collected using questionnaires completed by PROCESSING centers in 2009. The other part of the study data was obtained from the Iranian Agriculture Ministry website. Using the marginal distance measured by the optimal solution model, an average distance was calculated for paths ending in each township. The study findings revealed that paths ending in townships of Marvdasht, Shiraz, Pasargad, Eqlid and Khorrambid lead to the lowest increase in total transferring. It was also found that the distance from consumption centers is important in determining the priority of townships, and hence the northern townships of Fars province have more suitable position to establish new PROCESSING centers.

Organic industry is a small but progressive section of food industry in developed countries. Organic products are categorized based on the percentage of the proportion of the organic ingredients to nonorganic ingredients in their formulation. Using preservatives, synthetic food colorants and flavorings are prohibited. The non-organic ingredients must be legally accepted in organic codex standard.In recent years, the higher concentration of bioactive substances, like antioxidants and phenolic compounds has been suggested in organic foods comparing to commercial products. In comparison to commercial foods, organic foods also carry less nitrate and chemical residue but limited use of fungicide may raise the probability of contamination of organic products with mycotoxin. This study aimed to review the characteristics of organic foods in five sections of law, marketing, production, nutritional features and food safety.

Background: The Iranian Food Manufacturing and Producing INDUSTRIES (IFMPI) were evaluated by the Iranian evaluator team according to the guidelines of the industrial projects before entering the full-scale implementation step. The current cluster study followed the objective of a similar research about evaluating the initial data of 57 various kinds of IFMPI in terms of energy, materials streams, and technical aspects. Methods: The present research took into consideration the assessment of initial data in the screening step of project identification to further PROCESSING via Multi-Criteria Decision Making (MCDM) models and developing a techno-economic assessment model empirically. Results: A good reliability (∝ = 0. 808) among the weight values in MCDM models confirmed a developed classification. The proposed economic assessment model is able to estimate the outlays for the screening step of IFMPI projects. Conclusion: It can be concluded that the present study executed IFMPI in input and output materials besides energy streams and placed them in the reliable ranking levels using MCDM models along with Data Envelopment Analysis (DEA).

Agro-PROCESSING INDUSTRIES are an important part of agricultural production. PROCESSING procedure leads to the farmers’ additional income by transformation of surplus products to added value. Utilizing the existent possibilities, these INDUSTRIES play an important role in rural development. As one of the main agricultural products of the Kazerun Township, the locational analysis of date PROCESSING INDUSTRIES is investigated in this study. The Analytical Hierarchy Process (AHP) methodology was used to assess of criteria and determine priorities of sextuple districts of the region for date PROCESSING INDUSTRIES. Data was gathered through interviewing the rural INDUSTRIES and agricultural experts of the region and completing the criteria and alternatives pairwise comparison questionnaires. As the results, the relative weights of the criteria were determined as 0.27, 0.24, 0.19, 0.09, 0.08, 0.7 and 0.06 respectively for raw material availability, economical profitability, transportation accessibility, energy resources, geographical situations, land price and labor force. Regarding these weights and also the alternatives pairwise comparisons, the ultimate prioritization of the sextuple districts of the region for date PROCESSING INDUSTRIES was distinguished as 0.29, 0.22, 0.11, 0.1 and 0.06 respectively for the districts of Khesht, Central and Kenartakhteh & Komarj (in common), Jarreh & Baladeh, Chenarshahijan and Kouhmareh.

The main objectives of this study were to investigate demand function of PROCESSING INDUSTRIES credits in Razavi province and surveying elasticity of credits demand with considering of wage rate, output and input price. Data set were obtained through 20 units of tomato sauce producers in 2005 (1384). Credit demand function was estimated by each unit output- price benefit function. Results indicated that credit demand related to wage rate compare to output and input price is less elastic.The elasticity of credit demand related to input cost and output price is high. But they are opposite.The benefit of previous year has negative effect on credit demand.

As the conditions in the market and in the world of work and commerce gets more complicated, this requires correction, improvement and also updating marketing attitude among manufacturers and marketers. It is an urgent requirement to choose and determine strategies in order to achieve the objectives. Strategy means the comprehensive and main plan in manufacturing unit revealing the way it achieves the goals. On the other hand, as PROCESSING inducts toward market, the rate of wastage (losses) reduces. This Study concerns PROCESSING INDUSTRIES and finding suitable important strategies. Toward this end, present study seeks to investigate the market and the strategies of marketing in PROCESSING INDUSTRIES. The society under study in this investigation consists of producers, retailers and the consumers of dairy PROCESSING INDUSTRIES in Hamedan province. The data required for this study are connected using three groups of questionnaire. Mreover, factor analysis and structural equation modelling have been used as the statistical method of the investigation. The output of Lisrel and Amos softwares are used to study the variables. The common marketing strategies are defined in results section and each one is compared with prefent conditions of dairy PROCESSING industry market in Hamedan province, and acceptable and unacceptable marketing strategies are assigned separately. In the end, several recommandations are presented for using strategies and conducting future investigations.

The main purpose of this study was to identify and analyze factors affecting development of entrepreneurship in complementary and PROCESSING INDUSTRIES of citrus products at Khouzestan province, Iran. The Statistical population of this study consisted of all managers in PROCESSING and complementary INDUSTRIES of citrus products in Khouzestan province (N=89). By census method all managers were selected for participation in the study. Return rate was 84% (N=75). The main instrument in this study was questionnaire which its validity was confirmed by a panel of experts and its reliability was established by calculating Cronbach Alpha Coefficient (a=0.87). Findings reveal that there were positive and significant relationship between willingness to creativity, risk oriented, responsibility, competitiveness, participation on education programs, attitude to entrepreneurship, income level, educational level and level of entrepreneurship. According to factor analysis, factors affecting development of entrepreneurship in complementary and PROCESSING INDUSTRIES were categorized into four groups consisting: development of cognitive and psychomotor domains, development of infrastructure equipments, improving economic policies and development of psychological characteristics that those factors explained 68.82% of the total variance of the research variables.

Introduction: Pomegranate is one of the most popular fruits in the world due to its pleasant taste, high nutritional value, and many medical features as well as its particular uses in the conversion INDUSTRIES. The purpose of this research is to determine the best consumption form of some Iranian local pomegranate cultivars in conversion INDUSTRIES based on some of their characteristics.Materials and Methods: 12 important morphological and biochemical characteristics of 21 Iranian local pomegranate cultivars were studied based on the relevant descriptor. Some of these characteristics were evaluated through observations and sensory tests.Results: The findings of this study revealed the statistically significant differences among all the evaluated characteristics of the 21 cultivars under the study and showing that the wide variety among the 21 cultivars makes each cultivar more appropriate for the production of a certain product.Conclusion: This research showed that flavor index (fruit taste), aril color, and kernel hardness are the most effective characteristics in determining the best consumption form of the cultivars for conversion INDUSTRIES. It was also determined that most of the cultivars are more suitable for juice, jelly, and jam productions, and only 4 cultivars are ideal for pomegranate paste, vinegar and anardana (dried aril) productions.

With the establishment and expansion of agricultural PROCESSING INDUSTRIES; it is possible to minimize agricultural wastes as well as creating employment for villagers to improve the income of the villagers in the region and prevent their migration to other cities. Accordingly, the present study aims to review PROCESSING INDUSTRIES in Guilan province and determining the priority of creating these INDUSTRIES. For this purpose, after reviewing the current conditions of rural PROCESSING INDUSTRIES in this province and their raw materials (agricultural products), and using the Analytical Hierarchy Process (AHP) and using nine indicators (including employment, value added, productivity, capital formation, waste reduction, increased exports, reduced imports, environmental protection and availability of raw materials in the province); we tried to prioritize PROCESSING INDUSTRIES in agricultural sector of Guilan province. This prioritization is conducted in general into four main categories of such INDUSTRIES (garden products, agricultural products, livestock and fisheries) and also in partly subgroups of each of the four main groups using the comments and suggestions of the 10 most experienced experts in the province that were in the acceptable range of the AHP method. The results of the research showed that priorities of the PROCESSING INDUSTRIES in this province are as follows in contrary to existing conditions: garden products, fisheries, livestock and agricultural products. The three priorities of the garden products sector are fruit PROCESSING, tea production and packaging, cold storage, and for fisheries sector, the priorities are producing canned fish, fish products and producing powder of fish and/or other aquatic animals. In the livestock sector, the priorities are production of dairy products, slaughterhouses and production of meat products and ready-to-cook foods. And finally, in farming sector the priorities are rice field and packing, preparing feed for livestock and poultry and oiling from agricultural crops. Increased investment in the PROCESSING INDUSTRIES of garden products, fisheries and livestock; respectively; can help in achieving the goal of reducing wastes and increasing employment and rural incomes.