27,447 research outputs found

    Development of canopy vigour maps using UAV for site-specific management during vineyard spraying process

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    Site-specific management of crops represents an important improvement in terms of efficiency and efficacy of the different labours, and its implementation has experienced a large development in the last decades, especially for field crops. The particular case of the spray application process for what are called “specialty crops” (vineyard, orchard fruits, citrus, olive trees, etc.)FI-DGR grant from Generalitat de Catalunya (2018 FI_B1 00083). Research and improvement of Dosaviña have been developed under LIFE PERFECT project: Pesticide Reduction using Friendly and Environmentally Controlled Technologies (LIFE17 ENV/ES/000205)This research was partially funded by the “Ajuts a les activitats de demostració (operació 01.02.01 de Transferència Tecnològica del Programa de desenvolupament rural de Catalunya 2014-2020)” and an FI-DGR grant from Generalitat de Catalunya (2018 FI_B1 00083). Research and improvement of Dosaviña have been developed under the LIFE PERFECT project: Pesticide Reduction using Friendly and Environmentally Controlled Technologies (LIFE17 ENV/ES/000205).This research was partially funded by the “Ajuts a les activitats de demostració (operació 01.02.01 de Transferència Tecnològica del Programa de desenvolupament rural de Catalunya 2014-2020)” and an FI-DGR grant from Generalitat de Catalunya (2018 FI_B1 00083). Research and improvement of Dosaviña have been developed under LIFE PERFECT project: Pesticide Reduction using Friendly and Environmentally Controlled Technologies (LIFE17 ENV/ES/000205)Postprint (updated version

    Export Dynamism and Market Access

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    trade flows, trade liberalization, international production networks, development policy

    A Review on the Application of Natural Computing in Environmental Informatics

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    Natural computing offers new opportunities to understand, model and analyze the complexity of the physical and human-created environment. This paper examines the application of natural computing in environmental informatics, by investigating related work in this research field. Various nature-inspired techniques are presented, which have been employed to solve different relevant problems. Advantages and disadvantages of these techniques are discussed, together with analysis of how natural computing is generally used in environmental research.Comment: Proc. of EnviroInfo 201

    Selected bibliography of remote sensing

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    Bibliography of remote sensing techniques for analysis and assimilation of geographic dat

    Manufacturing Sectoral Growth in the USA and Japan: Relevance to SMEs, Organizational Innovations, and Recent Economic Growth

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    Although economic growth is inherently linked with the structure and nature of SMEs (e.g. their number, industry concentration, size, degree of outsourcing, etc), as this has been shown in the existing literature, OIs, more generally, are the context in which SMEs operate and hence OIs ought to be more closely examined in order to further understand the complex process of economic growth and the particular impact of SMEs on the latter. In this paper, a detailed comparison of the growth of manufacturing sectors in the USA and Japan is used as an indirect way to demonstrate the following proposition. Although SMEs have played a positive role in the postwar economic Japanese miracle, they are not a sufficient force for a sustainable economic growth, as the recent protracted recession in Japan shows. It is only when technological innovations and in particular OIs take place in the economy that this type of growth is possible, as this is also demonstrated in the recent American prolonged economic growth.organizational innovations, disembodied technology, firms, economic growth, historical review

    Multi-scale model for heat and mass transfer during rice drying

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    Grain drying is a simultaneous heat and moisture transfer problem. The modeling of such a problem is of significance in understanding and controlling the drying process. The main goal of this study was to predict the heat and mass transfer processes during deep-bed rice drying. To achieve this, first, CFD simulations were carried out to analyze the external flow and temperature fields at steady-state for a control volume of a stationary rice bed. The model was used to predict the convective heat and mass transfer coefficients in the rice bed, and correlations were developed for the convective heat and mass transfer coefficients as a function of drying air flow rate. Then, the coupled CFD and diffusion model developed by ElGamal, Ronsse, Radwan & Pieters (2013) to investigate the heat and mass transfer for thin-layer drying of rice was extended to volumetric heat and mass transfer in a deep-bed of rice using the predicted heat and mass transfer coefficients. All models were solved numerically using the finite element method. The model was used to predict the air temperature, as well as the grain moisture content and temperature at different locations of the dryer during the drying process. The theoretical predictions of moisture and temperature profiles inside a deep-bed of rice were verified by experimental data from literature. The average mean relative deviation values for the prediction of grain moisture content varied between 1.00 to 3.13%

    The Determinants of Technology Adoption by UK Farmers using Bayesian Model Averaging. The Cases of Organic Production and Computer Usage.

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    We introduce and implement a reversible jump approach to Bayesian Model Averaging for the Probit model with uncertain regressors. This approach provides a direct estimate of the probability that a variable should be included in the model. Two applications are investigated. The �rst is the adoption of organic systems in UK farming, and the second is the in�uence of farm and farmer characteristics on the use of a computer on the farm. While there is a correspondence between the conclusions we would obtain with and without model averaging results, we �find important di¤erences, particularly in smaller samples.Agriculture, Adoption, Model Averaging, Organic, Computer

    Modeling deep-bed grain drying using Comsol Multiphysics

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    CFD simulations were carried out to predict the convective heat and mass transfer coefficients in the rice bed, and correlations were developed for the convective heat and mass transfer coefficients as a function of drying air flow rate. The developed correlations were used to extend the coupled CFD and diffusion model developed by ElGamal et al. (2013) for thinlayer rice drying to volumetric heat and mass transfer in a deep-bed of rice. All mathematical models were solved using the Comsol Multiphysics® simulation program v4.3 (Comsol Inc, Palo Alto), which uses the finite element method to solve the model equations. The model was used to predict the air temperature, as well as the grain moisture content and temperature at different locations of the dryer during the drying process. The theoretical predictions of moisture and temperature profiles inside a deep-bed of rice were verified by experimental data from literature

    Public sector research and industrial innovation in Norway: a historical perspective

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    This paper analyses the historical role of public research organisations for industrial growth and innovation in Norway – and the changes in this role over time. Public research organisations include research institutes and higher education institutions, and we go back in time to the 19th century. Like many other countries, Norway has a large number research institutes involved in innovation, and these organisations have an equally long history as higher education institutions. Public sector research has co-evolved with the national industrial structure, and institutes and universities have played central roles in developing high technology sectors and activities as well as in modernisations of traditional industries.
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