Real time assessment of hand-arm vibration system based on capacitive MEMS accelerometers

Vibrations are a well known potential cause of health diseases and therefore constitute a main concern for the safety of workers in a large number of activities. In order to prevent health hazards, national and international institutions have issued laws and directives which establish recommended limits to the workers’ exposure to vibrations during operations. Consequently, if the amount of adsorbed vibration exceeds the allowable daily limits the worker has to stop his job. Recent wireless sensing and communicating technologies can effectively be employed for such purpose, allowing to develop monitoring customized devices at affordable cost which could be easily employed during the workers’ activity. In such context, the present research proposes an innovative system aimed at estimating the hand–arm exposure to vibration according to the Standard EN ISO 5349-1:2004. In particular the proposed system is based on Micro Electro-Mechanical Systems (MEMS) technology and involves the design of a compact wearable unit to be attached to the waist of the operator and a fixed station for data storage and analysis. The paper reports the design of such a system and an experimental test performed on hand held shakers commonly employed for olive harvesting. The results highlight the opportunities offered by these emerging technologies in developing intelligent devices to be included in the worker’s equipment which might significantly modify the current approach to safety management in the next future

Automatic detection and agronomic characterization of olive groves using high-resolution imagery and LIDAR data

The Common Agricultural Policy of the European Union grants subsidies for olive production. Areas of intensified olive farming will be of major importance for the increasing demand for oil production of the next decades, and countries with a high ratio of intensively and super-intensively managed olive groves will be more competitive than others, since they are able to reduce production costs. It can be estimated that about 25-40% of the Sicilian oliviculture must be defined as “marginal”. Modern olive cultivation systems, which permit the mechanization of pruning and harvest operations, are limited. Agronomists, landscape planners, policy decision-makers and other professionals have a growing need for accurate and cost-effective information on land use in general and agronomic parameters in the particular. The availability of high spatial resolution imagery has enabled researchers to propose analysis tools on agricultural parcel and tree level. In our study, we test the performance of WorldView-2 imagery relative to the detection of olive groves and the delineation of olive tree crowns, using an object-oriented approach of image classification in combined use with LIDAR data. We selected two sites, which differ in their environmental conditions and in their agronomic parameters of olive grove cultivation. The main advantage of the proposed methodology is the low necessary quantity of data input and its automatibility. However, it should be applied in other study areas to test if the good results of accuracy assessment can be confirmed. Data extracted by the proposed methodology can be used as input data for decision-making support systems for olive grove management

Shelf life-based inventory management policy for RF monitored warehouse

Post-harvest losses of perishable products strongly depend on inefficiencies of the entire supply chain. In particular, these inefficiencies can be reduced by optimizing the warehouse management, taking into account the remaining shelf life of the product, and matching it to the requirements of the subsequent part of the handling chain. The replacement of First In First Out picking rule with Last Shelf Life First Out policy has been proved to improve the overall performance of the supply chain. The practicability of such approach is related to the possibility of monitoring the deterioration rate of the products and of predicting the residual shelf-life, that is mainly influenced by harvesting conditions. Shelf-life based inventory management policies are seldom employed, generally due to the difficulties in the assessment of the environmental conditions. Such problem can be overcome by means of an automatic system able to acquire the volatile organic compound emitted by the product and of a communication tool that allows sending the information to be processed. RF technologies can be efficiently employed to reach this purpose in order to establish a shelf-life based prediction model. The present paper reports the technical/economic analysis related to the employment of an RF warehouse management system in an agro-industrial supply chain based upon an experimental campaign performed in a real case study

Selection of a Sustainable Functional Pasta Enriched with Opuntia Using ELECTRE III Methodology

In the last decade, the nutritional and health benefits of Opuntia (Opuntia ficus-indica (L.) Mill.) were discussed by academic scientists and private companies. In particular, the introduction of this substance in frequently consumed foods, like, for example, pasta and bakery products, could have a wide diffusion due to its rich composition in polyphenols, vitamins, polyunsaturated fatty acids, and amino acids. The identified natural cactus compounds are responsible for biologically relevant activities including anti-inflammatory, antioxidant, hypoglycemic, antimicrobial, and neuro-protective properties. The aim of this paper is the evaluation of the best combination of Opuntia quantity and process parameters (recipe) for the production of sustainable functional pasta. The results obtained show that the new functional pasta guarantees the presence of the Opuntia quantity necessary to be considered a healthy food without altering the organoleptic and physical properties of the final product. An important indicator of a sustainable food product is its capacity to contribute to public health while maintaining a high quality of the final product. The selection of the optimal recipe was carried out by means of a multi-criteria decision-making procedure, ELECTRE III. Finally, a sensitivity analysis was conducted to assess the stability of the obtained solutions varying the ELECTRE III thresholds, showing that the results obtained are stable under uncertain conditions. Food productions are often affected by qualitative judgments in terms of physical and organoleptic properties of the final product, making the ELECTRE III particularly suitable in an industrial application in which different points of view are involved

Damage to Strawberries Caused by Simulated Transport

The quality and condition of perishable products delivered to the market and their subsequent selling prices are directly affected by the care taken during harvesting and handling. Mechanical injury, in fact, occurs at all stages, from pre-harvest operations through post-harvest handling, packing and transport to the market. The main implications of this damage are the reduction of the product’s quality and economical losses related to the shelf life diminution. For most perishable products, the shelf life is relatively short and it is typically dictated by microbial growth related to the application of dynamic and static loads during transportation. This paper presents the correlation between vibration levels and microbiological growth on strawberries and woodland strawberries and detects the presence of volatile organic compounds (VOC) in order to develop an intelligent logistic unit capable of monitoring VOCs using a specific sensor system. Fresh fruits were exposed to vibrations by means of a vibrating table in a temperature-controlled environment. Microbiological analyses were conducted on samples, taken at different positions along the column of the crates. The values obtained were compared with control samples not exposed to vibrations and the results show that different positions along the column influence the development of bacteria, yeasts and filamentous fungi