15 pages., The paper analyses characteristics of vertical relationships of organic supply chains with a specific focus on the processing and retailing sectors. The analysis takes into account different regions of the EU Mediterranean area. Data were collected through interviews using an ad hoc questionnaire. The survey was based on a sample of 306 firms, including processors and retailers. The analysis revealed that a relevant aspect for the processing firms of organic products concerns the guaranteeing of safety and quality levels for the products. The main tools to implement the quality management are based on the adoption of specific production regulations and quality controls. The premium price most frequently applied by processors ranges from 10% to 40% and similar values are revealed for retailers. The diffusion of supply contracts allows the vertical coordination between agriculture and processing firms in the organic supply chains. The main distribution channels for the processing firms are represented by specialised shops in organic products, direct sales and supermarkets.
Specht, Kathrin (author), Zoll, Felix (author), Schumann, Henrike (author), Bela, Julia (author), Kachel, Julia (author), and Robischon, Marcel (author)
Format:
Journal article
Publication Date:
2019
Published:
International
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 99 Document Number: D10870
Via online. 27 pages., Global challenges such as climate change, increasing urbanization and a lack of transparency of food chains, have led to the development of innovative urban food production approaches, such as rooftop greenhouses, vertical farms, indoor farms, aquaponics as well as production sites for edible insects or micro-algae. Those approaches are still at an early stage of development and partly unknown among the public. The aim of our study was to identify the perception of sustainability, social acceptability and ethical aspects of these new approaches and products in urban food production. We conducted 19 qualitative expert interviews and applied qualitative content analysis. Our results revealed that major perceived benefits are educational effects, revaluation of city districts, efficient resource use, exploitation of new protein sources or strengthening of local economies. Major perceived conflicts concern negative side-effects, legal constraints or high investment costs. The extracted acceptance factors deal significantly with the “unknown”. A lack of understanding of the new approaches, uncertainty about their benefits, concerns about health risks, a lack of familiarity with the food products, and ethical doubts about animal welfare represent possible barriers. We conclude that adaptation of the unsuitable regulatory framework, which discourages investors, is an important first step to foster dissemination of the urban food production approaches.
Bin, Li (author), Shahzad, Muhammad (author), Khan, Hira (author), Bashir, Muhammad Mehran (author), Ullah, Arif (author), and Siddique, Muhammad (author)
Format:
Journal article
Publication Date:
2023-09-18
Published:
Switzerland: MDPI
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 206 Document Number: D12959
20 pages, Sustainable agriculture is a pivotal driver of a nation’s economic growth, especially considering the challenge of providing food for the world’s expanding population. Agriculture remains a cornerstone of many nations’ economies, so the need for intelligent, sustainable farming practices has never been greater. Agricultural industries worldwide require sophisticated systems that empower farmers to manage their crops efficiently, reduce water wastage, and optimize yield quality. Yearly, substantial crop losses occur due to unpredictable environmental changes, with improper irrigation practices being a leading cause. In this paper, we introduce an innovative irrigation time control system for smart farming. This system leverages fuzzy logic to regulate the timing of irrigation in cotton crop fields, effectively curbing water wastage while ensuring that crops receive neither too little nor too much water. Additionally, our system addresses a common agricultural challenge: whitefly infestations. Users can adjust climatic parameters, such as temperature and humidity, through our system, which minimizes both whitefly populations and water consumption. We have developed a portable measurement technology that includes air humidity sensors, temperature sensors, and rain sensors. These sensors interface with an Arduino platform, allowing real-time climate data collection. This collected climate data is then sent to the fuzzy logic control system, which dynamically adjusts irrigation timing in response to changing environmental conditions. Our system incorporates an algorithm that generates highly effective (IF-THEN) fuzzy logic rules, significantly improving irrigation efficiency by reducing overall irrigation duration. By automating the irrigation process and precisely delivering the right amount of water, our system eliminates the need for human intervention, rendering the agricultural system more dependable in achieving successful crop yields. Water supply commences when the environmental conditions reach specific thresholds and halts when the requisite climate conditions are met, maintaining an optimal environment for crop growth.
