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  1. Article ; Online: Londoño Botero, Rocío. Juan de la Cruz Varela

    Paula Zuluaga Borrero

    Revista Estudios Socio-Jurídicos, Vol 14, Iss 1, Pp 285-

    sociedad y política en la región de Sumapaz (1902-1984). Bogotá: Universidad Nacional de Colombia - Facultad de Ciencias Humanas/Departamento de Historia; 2011, 708 p.

    2012  Volume 291

    Abstract: La historiadora Rocío Londoño presenta en su obra Juan de la CruzVarela: sociedad y ...

    Abstract La historiadora Rocío Londoño presenta en su obra Juan de la CruzVarela: sociedad y política en la región de Sumapaz (1902-1984) la dinámica delos conflictos por la tierra en el país a través de la exploración de la vida yobra de Varela como líder agrario del Sumapaz. Este recorrido sumerge allector en la riqueza del detalle de los archivos históricos que incluyen desdepartidas de nacimiento hasta anales de concejos municipales, pasando poruna diversa revisión de prensa y numerosos testimonios que llenan de color lasreconstrucciones. Sin embargo, y a pesar de su juiciosa atención a los detalles,Londoño nunca pierde de vista la macronarrativa y las perspectivas políticay social de las luchas del Sumapaz, logrando un precioso documento sobreuna parte de la historia colombiana, alrededor de la propiedad de la tierray los reclamos agrarios.
    Keywords Law in general. Comparative and uniform law. Jurisprudence ; K1-7720 ; Law ; K ; DOAJ:Law ; DOAJ:Law and Political Science
    Language Spanish
    Publishing date 2012-06-01T00:00:00Z
    Publisher Universidad del Rosario
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Enhancing Short-Term Berry Yield Prediction for Small Growers Using a Novel Hybrid Machine Learning Model

    Borrero, Juan D. / Borrero-Domínguez, Juan-Diego

    Horticulturae. 2023 May 03, v. 9, no. 5

    2023  

    Abstract: This study presents a novel hybrid model that combines two different algorithms to increase the accuracy of short-term berry yield prediction using only previous yield data. The model integrates both autoregressive integrated moving average (ARIMA) with ... ...

    Abstract This study presents a novel hybrid model that combines two different algorithms to increase the accuracy of short-term berry yield prediction using only previous yield data. The model integrates both autoregressive integrated moving average (ARIMA) with Kalman filter refinement and neural network techniques, specifically support vector regression (SVR), and nonlinear autoregressive (NAR) neural networks, to improve prediction accuracy by correcting the errors generated by the system. In order to enhance the prediction performance of the ARIMA model, an innovative method is introduced that reduces randomness and incorporates only observed variables and system errors into the state-space system. The results indicate that the proposed hybrid models exhibit greater accuracy in predicting weekly production, with a goodness-of-fit value above 0.95 and lower root mean square error (RMSE) and mean absolute error (MAE) values compared with non-hybrid models. The study highlights several implications, including the potential for small growers to use digital strategies that offer crop forecasts to increase sales and promote loyalty in relationships with large food retail chains. Additionally, accurate yield forecasting can help berry growers plan their production schedules and optimize resource use, leading to increased efficiency and profitability. The proposed model may serve as a valuable information source for European food retailers, enabling growers to form strategic alliances with their customers.
    Keywords food retailing ; information sources ; models ; prediction ; profitability ; regression analysis ; yield forecasting
    Language English
    Dates of publication 2023-0503
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article ; Online
    ZDB-ID 2813983-5
    ISSN 2311-7524
    ISSN 2311-7524
    DOI 10.3390/horticulturae9050549
    Database NAL-Catalogue (AGRICOLA)

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  3. Article ; Online: Análisis de los Tweets de los minoristas de alimentación que operan en España y UK. Cómo el análisis del contenido generado por los usuarios en Twitter puede ayudar a las cooperativas agroalimentarias a establecer mejores relaciones con sus clientes

    Juan Diego Borrero Sánchez

    Revista de Estudios Cooperativos, Vol

    2023  Volume 143

    Abstract: Twitter es una destacada plataforma de medios sociales utilizada ampliamente por las empresas alimentarias para compartir información con los consumidores. Este estudio tiene como objetivo determinar el comportamiento en Twitter de diferentes minoristas ... ...

    Abstract Twitter es una destacada plataforma de medios sociales utilizada ampliamente por las empresas alimentarias para compartir información con los consumidores. Este estudio tiene como objetivo determinar el comportamiento en Twitter de diferentes minoristas de alimentación que operan en España y el Reino Unido para arrojar luz sobre sus intereses y afinidades. El estudio recopiló y analizó un total de 54.000 tweets de las cuentas oficiales de Twitter de 17 minoristas de alimentación. Analizando el contenido generado por los minoristas de alimentación en Twitter con el recuento de palabras, el análisis de contenido generado por estos usuarios y el análisis de redes sociales, se detectaron algunas características que podrían ser relevantes para los proveedores de estos minoristas de alimentación. La identificación de las diferencias en la actividad y las comunicaciones en Twitter, así como también las afinidades entre algunos de ellos, confirman el potencial de los datos de Twitter como fuente de información para realizar estudios de marketing en general. Del mismo modo, descubrimos que la adopción de la analítica de datos de Twitter por los responsables de marketing de las cooperativas agroalimentarias podría ser muy útil para avanzar en las estrategias centradas en el cliente. Finalmente, la investigación presenta las limitaciones y propone nuevas líneas de trabajo futuro.
    Keywords Análisis de redes sociales ; Minería de texto ; Análisis de Contenido ; Agricultura digital ; Big data ; Economics as a science ; HB71-74
    Language English
    Publishing date 2023-04-01T00:00:00Z
    Publisher AECOOP Escuela de Estudios Cooperativos
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Book ; Online: Palabras finales. Andrés Caicedo

    Marroquín Martínez, Juan Pablo / Zamudio Tobar, Gladys / Sánchez Borrero, Ana Milena

    un recuerdo de emancipación

    2018  

    Keywords Literary studies: general ; Andrés Caicedo ; Movimientos literarios ; Paisajes socioculturales ; Diferentes realidades ; Paisajes urbanos
    Language 0|s
    Size 1 electronic resource (119-124 pages)
    Publisher Universidad Santiago de Cali
    Publishing place Colombia
    Document type Book ; Online
    Note Spanish ; Open Access
    HBZ-ID HT021609899
    ISBN 978-958-5522-26-8 ; 958-5522-26-8
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  5. Book ; Online: La explosión en Angelitos empantanados de Andrés Caicedo y en 13 céntimos de K. Sello Duiker

    Rojas Miranda, Juan Sebastián / Rojas Miranda, María Camila / Zamudio Tobar, Gladys / Sánchez Borrero, Ana Milena

    2018  

    Keywords Literary studies: general ; Andrés Caicedo ; Movimientos literarios ; Paisajes socioculturales ; Diferentes realidades ; Paisajes urbanos
    Language 0|s
    Size 1 electronic resource (57-71 pages)
    Publisher Universidad Santiago de Cali
    Publishing place Colombia
    Document type Book ; Online
    Note Spanish ; Open Access
    HBZ-ID HT021609587
    ISBN 978-958-5522-26-8 ; 958-5522-26-8
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  6. Article: Hematological Neoplasms with Eosinophilia.

    Morales-Camacho, Rosario M / Caballero-Velázquez, Teresa / Borrero, Juan José / Bernal, Ricardo / Prats-Martín, Concepción

    Cancers

    2024  Volume 16, Issue 2

    Abstract: Eosinophils in peripheral blood account for 0.3-5% of leukocytes, which is equivalent to 0.05-0.5 × ... ...

    Abstract Eosinophils in peripheral blood account for 0.3-5% of leukocytes, which is equivalent to 0.05-0.5 × 10
    Language English
    Publishing date 2024-01-12
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2527080-1
    ISSN 2072-6694
    ISSN 2072-6694
    DOI 10.3390/cancers16020337
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: A Case Study of a Digital Data Platform for the Agricultural Sector: A Valuable Decision Support System for Small Farmers

    Borrero, Juan D. / Mariscal, Jesús

    Agriculture (Basel). 2022 May 27, v. 12, no. 6

    2022  

    Abstract: New players are entering the new and important digital data market for agriculture, increasing power asymmetries and reinforcing their competitive advantages. Although the farmer remains at the heart of agricultural data collection, to date, only a few ... ...

    Abstract New players are entering the new and important digital data market for agriculture, increasing power asymmetries and reinforcing their competitive advantages. Although the farmer remains at the heart of agricultural data collection, to date, only a few farmers participate in data platforms. Despite this, more and more decision support systems (DSSs) tools are used in agriculture, and digital platforms as data aggregators could be useful technologies for helping farmers make better decisions. However, as these systems develop, the efficiency of these platforms becomes more challenging (sharing, ownership, governance, and transparency). In this paper, we conduct a case study for an accessible and scalable digital data platform that is focused on adding value to smallholders. The case study research is based on meta-governance theory and multidimensional multilayered digital platform architecture, to determine platform governance and a data development model for the Andalusian (Spain) fruit and vegetable sector. With the information obtained from the agents of this sector, a digital platform called farmdata was designed, which connects to several regional and national, and public and private databases, aggregating data and providing tools for decision making. Results from the interviews reflect the farmer’s interests in participating in a centralized cloud data platform, preferably one that is managed by a university, but also with attention being paid toward security and transparency, as well as providing added value. As for future directions, we propose further research on how the benefits should be distributed among end users, as well as for the study of a distributed model through blockchain.
    Keywords agricultural industry ; agricultural statistics ; agriculture ; blockchain ; case studies ; data collection ; decision support systems ; digital database ; farmers ; fruits ; governance ; markets ; models ; ownership ; vegetables ; Spain
    Language English
    Dates of publication 2022-0527
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article
    ZDB-ID 2651678-0
    ISSN 2077-0472
    ISSN 2077-0472
    DOI 10.3390/agriculture12060767
    Database NAL-Catalogue (AGRICOLA)

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  8. Article ; Online: A Case Study of a Digital Data Platform for the Agricultural Sector

    Juan D. Borrero / Jesús Mariscal

    Agriculture, Vol 12, Iss 767, p

    A Valuable Decision Support System for Small Farmers

    2022  Volume 767

    Abstract: New players are entering the new and important digital data market for agriculture, increasing power asymmetries and reinforcing their competitive advantages. Although the farmer remains at the heart of agricultural data collection, to date, only a few ... ...

    Abstract New players are entering the new and important digital data market for agriculture, increasing power asymmetries and reinforcing their competitive advantages. Although the farmer remains at the heart of agricultural data collection, to date, only a few farmers participate in data platforms. Despite this, more and more decision support systems (DSSs) tools are used in agriculture, and digital platforms as data aggregators could be useful technologies for helping farmers make better decisions. However, as these systems develop, the efficiency of these platforms becomes more challenging (sharing, ownership, governance, and transparency). In this paper, we conduct a case study for an accessible and scalable digital data platform that is focused on adding value to smallholders. The case study research is based on meta-governance theory and multidimensional multilayered digital platform architecture, to determine platform governance and a data development model for the Andalusian (Spain) fruit and vegetable sector. With the information obtained from the agents of this sector, a digital platform called farmdata was designed, which connects to several regional and national, and public and private databases, aggregating data and providing tools for decision making. Results from the interviews reflect the farmer’s interests in participating in a centralized cloud data platform, preferably one that is managed by a university, but also with attention being paid toward security and transparency, as well as providing added value. As for future directions, we propose further research on how the benefits should be distributed among end users, as well as for the study of a distributed model through blockchain.
    Keywords digital platform ; data governance ; data ownership ; Big Data ; agriculture ; decision support system ; Agriculture (General) ; S1-972
    Subject code 020
    Language English
    Publishing date 2022-05-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Book ; Online: Ciudad y rebeldía

    Zamudio Tobar, Gladys / Avellaneda Báez, Raúl / Bejarano, Alberto / Rojas Miranda, Juan Sebastián / Rojas Miranda, María Camila / Vivas Betancourt, Angélica María / Giraldo, Germán / Sánchez Borrero, Ana Milena / Marroquín, Juan Pablo / Sánchez Borrero, Ana Milena

    Estudios sobre la obra de Andrés Caicedo

    2018  

    Keywords Literary studies: general ; Andrés Caicedo ; Movimientos literarios ; Paisajes socioculturales ; Diferentes realidades ; Paisajes urbanos
    Language 0|s
    Size 1 electronic resource (1-140 pages)
    Publisher Universidad Santiago de Cali
    Publishing place Colombia
    Document type Book ; Online
    Note Spanish ; Open Access
    HBZ-ID HT021614707
    ISBN 978-958-5522-26-8 ; 958-5522-26-8
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  10. Article ; Online: An Autonomous Wireless Device for Real-Time Monitoring of Water Needs.

    Borrero, Juan D / Zabalo, Alberto

    Sensors (Basel, Switzerland)

    2020  Volume 20, Issue 7

    Abstract: The agri-food sector is in constantly renewing, continuously demanding new systems that facilitate farmers´ work. Efficient agricultural practices are essential to increasing farm profitability, and reducing water consumption can be achieved by real-time ...

    Abstract The agri-food sector is in constantly renewing, continuously demanding new systems that facilitate farmers´ work. Efficient agricultural practices are essential to increasing farm profitability, and reducing water consumption can be achieved by real-time monitoring of water needs. However, the prices of automatic systems for collecting data from several sources (soil and climate) are expensive and their autonomy is very low. This paper presents a low-consumption solution using the Internet of Things (IoT) based on wireless sensor networks (WSNs) and long-range wide-area network (LoRaWAN) technologies. By means of low-power wide-area network (LPWAN) communication, a farmer can monitor the state of crops in real time thanks to a large number of sensors connected wirelessly and distributed across the farm. The wireless sensor node developed, called BoXmote, exhibits very low power, since it has been optimized both in terms of hardware and software. The result is a higher degree of autonomy than commercial motes. This will allow the farmer to have access to all of the information necessary to achieve an efficient irrigation management of his crops with full autonomy.
    Language English
    Publishing date 2020-04-07
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s20072078
    Database MEDical Literature Analysis and Retrieval System OnLINE

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