54,110 research outputs found

    IoT adoption in agriculture: a systematic review

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    Agriculture is one of these sectors where Internet of Things (IoT) is expected to make a major impact. Yet, its adoption in the sector falls behind the expectations. This paper presents an extensive review of 1355 publications over the last decade, with an aim to highlight the state-of-the-art of research on IoT in agriculture and investigate its slow adoption. The literature review reveals that the “big three” barriers for the overall sector are cost, skills, and standardization, while the lack of connectivity and data governance are two key reasons why most of the proposed IoT solutions are standalone systems of limited scope and the majority of commercial IoT efforts focuses on practices under protected indoor environment. Lastly, the analysis of past research along the five layers of IoT system architecture reveals limited attention on barriers and solutions at the business layer, which represents a research opportunity for information systems scholars

    IoT adoption in agriculture:a systematic review

    Get PDF
    Agriculture is one of these sectors where Internet of Things (IoT) is expected to make a major impact. Yet, its adoption in the sector falls behind the expectations. This paper presents an extensive review of 1355 publications over the last decade, with an aim to highlight the state-of-the-art of research on IoT in agriculture and investigate its slow adoption. The literature review reveals that the “big three” barriers for the overall sector are cost, skills, and standardization, while the lack of connectivity and data governance are two key reasons why most of the proposed IoT solutions are standalone systems of limited scope and the majority of commercial IoT efforts focuses on practices under protected indoor environment. Lastly, the analysis of past research along the five layers of IoT system architecture reveals limited attention on barriers and solutions at the business layer, which represents a research opportunity for information systems scholars

    A Decision Support System for Water Optimization in Anti-Frost Techniques by Sprinklers

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    [EN] Precision agriculture is a growing sector that improves traditional agricultural processes through the use of new technologies. In southeast Spain, farmers are continuously fighting against harsh conditions caused by the effects of climate change. Among these problems, the great variability of temperatures (up to 20 degrees C in the same day) stands out. This causes the stone fruit trees to flower prematurely and the low winter temperatures freeze the flower causing the loss of the crop. Farmers use anti-freeze techniques to prevent crop loss and the most widely used techniques are those that use water irrigation as they are cheaper than other techniques. However, these techniques waste too much water and it is a scarce resource, especially in this area. In this article, we propose a novel intelligent Internet of Things (IoT) monitoring system to optimize the use of water in these anti-frost techniques while minimizing crop loss. The intelligent component of the IoT system is designed using an approach based on a multivariate Long Short-Term Memory (LSTM) model, designed to predict low temperatures. We compare the proposed approach of multivariate model with the univariate counterpart version to figure out which model obtains better accuracy to predict low temperatures. An accurate prediction of low temperatures would translate into significant water savings, as anti-frost techniques would not be activated without being necessary. Our experimental results show that the proposed multivariate LSTM approach improves the univariate counterpart version, obtaining an average quadratic error no greater than 0.65 degrees C and a coefficient of determination R2 greater than 0.97. The proposed system has been deployed and is currently operating in a real environment obtained satisfactory performance.This work has been partially supported by the Spanish Ministry of Science and Innovation, under the Ramon y Cajal Program (Grant No. RYC2018-025580-I) and under grants RTI2018-096384-B-I00, RTC-2017-6389-5 and RTC2019-007159-5, by the Fundacion Seneca del Centro de Coordinacion de la Investigacion de la Region de Murcia under Project 20813/PI/18, and by the "Conselleria de Educacion, Investigacion, Cultura y Deporte, Direccio General de Ciencia i Investigacio, Proyectos AICO/2020", Spain, under Grant AICO/2020/302.GuillĂ©n-Navarro, MA.; MartĂ­nez-España, R.; Bueno-Crespo, A.; Morales-GarcĂ­a, J.; Ayuso, B.; Cecilia-Canales, JM. (2020). A Decision Support System for Water Optimization in Anti-Frost Techniques by Sprinklers. Sensors. 20(24):1-15. https://doi.org/10.3390/s20247129S1152024Melgarejo-Moreno, J., LĂłpez-Ortiz, M.-I., & FernĂĄndez-Aracil, P. (2019). Water distribution management in South-East Spain: A guaranteed system in a context of scarce resources. Science of The Total Environment, 648, 1384-1393. doi:10.1016/j.scitotenv.2018.08.263FerrĂĄndez-Pastor, F., GarcĂ­a-Chamizo, J., Nieto-Hidalgo, M., & Mora-MartĂ­nez, J. (2018). Precision Agriculture Design Method Using a Distributed Computing Architecture on Internet of Things Context. Sensors, 18(6), 1731. doi:10.3390/s18061731Liaghat. (2010). A Review: The Role of Remote Sensing in Precision Agriculture. American Journal of Agricultural and Biological Sciences, 5(1), 50-55. doi:10.3844/ajabssp.2010.50.55Nelson, G. C., van der Mensbrugghe, D., Ahammad, H., Blanc, E., Calvin, K., Hasegawa, T., 
 Willenbockel, D. (2013). Agriculture and climate change in global scenarios: why don’t the models agree. Agricultural Economics, 45(1), 85-101. doi:10.1111/agec.12091Crookston, R. K. (2006). A Top 10 List of Developments and Issues Impacting Crop Management and Ecology During the Past 50 Years. Crop Science, 46(5), 2253-2262. doi:10.2135/cropsci2005.11.0416gasDutta, R., Morshed, A., Aryal, J., D’Este, C., & Das, A. (2014). Development of an intelligent environmental knowledge system for sustainable agricultural decision support. Environmental Modelling & Software, 52, 264-272. doi:10.1016/j.envsoft.2013.10.004Zhang, J., Zhu, Y., Zhang, X., Ye, M., & Yang, J. (2018). Developing a Long Short-Term Memory (LSTM) based model for predicting water table depth in agricultural areas. Journal of Hydrology, 561, 918-929. doi:10.1016/j.jhydrol.2018.04.065Sahoo, S., Russo, T. A., Elliott, J., & Foster, I. (2017). Machine learning algorithms for modeling groundwater level changes in agricultural regions of the U.S. Water Resources Research, 53(5), 3878-3895. doi:10.1002/2016wr019933Coopersmith, E. J., Minsker, B. S., Wenzel, C. E., & Gilmore, B. J. (2014). Machine learning assessments of soil drying for agricultural planning. Computers and Electronics in Agriculture, 104, 93-104. doi:10.1016/j.compag.2014.04.004Mohammadi, K., Shamshirband, S., Motamedi, S., Petković, D., Hashim, R., & Gocic, M. (2015). Extreme learning machine based prediction of daily dew point temperature. Computers and Electronics in Agriculture, 117, 214-225. doi:10.1016/j.compag.2015.08.008Feng, Y., Peng, Y., Cui, N., Gong, D., & Zhang, K. (2017). Modeling reference evapotranspiration using extreme learning machine and generalized regression neural network only with temperature data. Computers and Electronics in Agriculture, 136, 71-78. doi:10.1016/j.compag.2017.01.027Jin, X.-B., Yu, X.-H., Wang, X.-Y., Bai, Y.-T., Su, T.-L., & Kong, J.-L. (2020). Deep Learning Predictor for Sustainable Precision Agriculture Based on Internet of Things System. Sustainability, 12(4), 1433. doi:10.3390/su12041433Castañeda-Miranda, A., & Castaño-Meneses, V. M. (2020). Internet of things for smart farming and frost intelligent control in greenhouses. Computers and Electronics in Agriculture, 176, 105614. doi:10.1016/j.compag.2020.105614Tzounis, A., Katsoulas, N., Bartzanas, T., & Kittas, C. (2017). Internet of Things in agriculture, recent advances and future challenges. Biosystems Engineering, 164, 31-48. doi:10.1016/j.biosystemseng.2017.09.007Shi, X., An, X., Zhao, Q., Liu, H., Xia, L., Sun, X., & Guo, Y. (2019). State-of-the-Art Internet of Things in Protected Agriculture. Sensors, 19(8), 1833. doi:10.3390/s19081833Jawad, H., Nordin, R., Gharghan, S., Jawad, A., & Ismail, M. (2017). Energy-Efficient Wireless Sensor Networks for Precision Agriculture: A Review. Sensors, 17(8), 1781. doi:10.3390/s17081781GuillĂ©n‐Navarro, M. A., MartĂ­nez‐España, R., LĂłpez, B., & Cecilia, J. M. (2019). A high‐performance IoT solution to reduce frost damages in stone fruits. Concurrency and Computation: Practice and Experience, 33(2). doi:10.1002/cpe.5299GuillĂ©n, M. A., Llanes, A., ImbernĂłn, B., MartĂ­nez-España, R., Bueno-Crespo, A., Cano, J.-C., & Cecilia, J. M. (2020). Performance evaluation of edge-computing platforms for the prediction of low temperatures in agriculture using deep learning. The Journal of Supercomputing, 77(1), 818-840. doi:10.1007/s11227-020-03288-

    U.S. Trade Relations with Arab Countries: Past, Present, and Future

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    Arab countries have adopted market economy principles and pursued policies designed to strengthen their economies. The cornerstone of Arab countries' long-term economic objectives has been to increase trade and support economic growth via regional and global integration. To this end, Arab countries are attempting to broaden their engagement in the multilateral trading system by joining the World Trade Organization (WTO). In addition, some Arab countries entered into trade arrangements with the United States (U.S.) to foster economic development, attract investment, and develop peaceful relationship. These trade agreements carry several implications for local economies

    Security and Privacy for Green IoT-based Agriculture: Review, Blockchain solutions, and Challenges

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    open access articleThis paper presents research challenges on security and privacy issues in the field of green IoT-based agriculture. We start by describing a four-tier green IoT-based agriculture architecture and summarizing the existing surveys that deal with smart agriculture. Then, we provide a classification of threat models against green IoT-based agriculture into five categories, including, attacks against privacy, authentication, confidentiality, availability, and integrity properties. Moreover, we provide a taxonomy and a side-by-side comparison of the state-of-the-art methods toward secure and privacy-preserving technologies for IoT applications and how they will be adapted for green IoT-based agriculture. In addition, we analyze the privacy-oriented blockchain-based solutions as well as consensus algorithms for IoT applications and how they will be adapted for green IoT-based agriculture. Based on the current survey, we highlight open research challenges and discuss possible future research directions in the security and privacy of green IoT-based agriculture

    Romans, Roads, and Romantic Creators: Traditions of Public Property in the Information Age

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    The medialibrary is included within an overall development plan. This plan has been drawn up by the communal office and aims to finish in 2030. The aim of this design is to promote unification and comunication, especially in the central area of Sollentuna. The challenge that faces the municipality is to eliminate the division that has been forming since the time gave impetus to the rail.Today is not only the railway passing through the sector but also the commuter train.The two sectors clearly formed because of this communication system were even more sharply divided during the construcction of the so called million housing program.I have proposed a subway train. The media library has the purpose to contain several features that appeal to the publicon both sides of the line and thus generate a social contact that can develop good communication and cooperation. It was considered the young generation and their needs without leaving aside elderly.The design, the differens spaces and rooms, the buliding facilities, are intended to generate communication and unification among the users.Den Mediateket ingÄr i en övergripande plan för utveckling i centrala Sollentuna. Kommunen har en plan som de syftar till att avsluta Är 2030. Syftet med denna konstruktion Àr att frÀmia enande och kommunikation i den centrala delen av Sollentuna. Uttmaningen som  kommunenÀr har i framtiden Àr att eliminera den klyfta som har bildas efter jÀrnvÀgskonstruktion. JÀrnvÀgen (och pendeltÄget)passera genom omrÄdet. De tvÄ sektorerna, tydligt utformade pÄ grund av detta kommunikationssytem, var Ànnu kraftig isÀer under byggande av den sÄ kallade milljonprogramm. Skillnaden i bÄde ekonomisk och social karakter blev tydligt markerade.Den mediabiblioteken har till syfte att innehÄlla flera funktioner som tilltalar allmÀnheten pÄ bÄda sidor on linjen och dÀrmed generera en social kontakt som kan utveckla en god kommunication och samarbete. Jag har övervÀgt den yngre generationen och deras behov utan all lÀmna Ät sidan den Àldre generationen. AnlÀggninggar, med den nya designen, Àr avsedda att generera kummunikation och enande bland anvÀndarna av alla Äldrar

    Intellectual Property Management in Health and Agricultural Innovation: Executive Guide

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    Prepared by and for policy-makers, leaders of public sector research establishments, technology transfer professionals, licensing executives, and scientists, this online resource offers up-to-date information and strategies for utilizing the power of both intellectual property and the public domain. Emphasis is placed on advancing innovation in health and agriculture, though many of the principles outlined here are broadly applicable across technology fields. Eschewing ideological debates and general proclamations, the authors always keep their eye on the practical side of IP management. The site is based on a comprehensive Handbook and Executive Guide that provide substantive discussions and analysis of the opportunities awaiting anyone in the field who wants to put intellectual property to work. This multi-volume work contains 153 chapters on a full range of IP topics and over 50 case studies, composed by over 200 authors from North, South, East, and West. If you are a policymaker, a senior administrator, a technology transfer manager, or a scientist, we invite you to use the companion site guide available at http://www.iphandbook.org/index.html The site guide distills the key points of each IP topic covered by the Handbook into simple language and places it in the context of evolving best practices specific to your professional role within the overall picture of IP management

    Intellectual Property Management in Health and Agricultural Innovation: A Handbook of Best Practices, Vol. 1

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    Prepared by and for policy-makers, leaders of public sector research establishments, technology transfer professionals, licensing executives, and scientists, this online resource offers up-to-date information and strategies for utilizing the power of both intellectual property and the public domain. Emphasis is placed on advancing innovation in health and agriculture, though many of the principles outlined here are broadly applicable across technology fields. Eschewing ideological debates and general proclamations, the authors always keep their eye on the practical side of IP management. The site is based on a comprehensive Handbook and Executive Guide that provide substantive discussions and analysis of the opportunities awaiting anyone in the field who wants to put intellectual property to work. This multi-volume work contains 153 chapters on a full range of IP topics and over 50 case studies, composed by over 200 authors from North, South, East, and West. If you are a policymaker, a senior administrator, a technology transfer manager, or a scientist, we invite you to use the companion site guide available at http://www.iphandbook.org/index.html The site guide distills the key points of each IP topic covered by the Handbook into simple language and places it in the context of evolving best practices specific to your professional role within the overall picture of IP management

    Building Commons Governance for a Greener Economy

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    Much recent work in ecological economics and political ecology, including calls for “de-growth” in the transition towards more sustainable economies, focuses on commons as a promising paradigm for sustainable governance institutions.  The vision involves people who depend on or have an interest in a resource or asset, working together co-operatively to use that asset for production, service provision, and exchange which creates value and well-being while integrating ecological care, justice, and long-term planning to the best of diverse communities’ abilities. This includes institutions such as co-ops, land trusts, and non-market or beyond-market collective ways of organizing production, distribution, consumption, and waste or materials management.Developing such collective institutions requires nurturing the skills and abilities needed to create and maintain them: empathy, communication and listening skills, a sense of shared purpose, creativity, dispute resolution across differences, long-term vision, environmental awareness and stewardship, among others. Transformative education praxis and transdisciplinarity facilitate the growth of these skills and abilities in children and adults, as Paulo Freire and other transformative learning practitioners have shown (Gadotti 2009; O’Sullivan 1999;Gutierrez & Prado 1998). Transformative pedagogy, including both eco-pedagogy and transdisciplinarity, is foundational as human society evolves institutions for sustainability such as commons.This research was supported by the International Development Research Centre, grant number IDRC GRANT NO. 106002-00
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