Biblio

Export 25 results:
Autor [ Título(Desc)] Tipo Año
Filters: First Letter Of Last Name is D  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
A
Mercado G, Borgo R, Antivilo FGonzalez, Taffernaberry JCarlos, Diedrichs A, Aguirre M, Robles MInés, Grunwaldt G, Tabacchi G, Tromer S et al..  2013.  Aplicaciones de Internet de las Cosas SIPIA6-Red de Sensores Inalámbricos con IPv6. XV Workshop de Investigadores en Ciencias de la Computación.
C
Diedrichs ALaura, Robles MInés, Bromberg F, Mercado G, Dujovne D.  2013.  Characterization of LQI behavior in WSN for glacier area in Patagonia Argentina. Embedded Systems (SASE/CASE), 2013 Fourth Argentine Symposium and Conference on. :1--6.
Diedrichs ALaura, Robles MInés, Bromberg F, Mercado G, Dujovne D.  2013.  Characterization of LQI behavior in WSN for glacier area in Patagonia Argentina. Embedded Systems (SASE/CASE), 2013 Fourth Argentine Symposium and Conference on. :1--6.
D
Marset WVillegas, Pérez DS, Díaz CA, Bromberg F.  2020.  Deep Learning for 2D Grapevine Bud Detection.
Brun-Laguna K, Diedrichs ALaura, Chaar JEmilio, Dujovne D, Taffernaberry JCarlos, Mercado G, Watteyne T.  2016.  A demo of the PEACH IoT-based frost event prediction system for precision agriculture. Sensing, Communication, and Networking (SECON), 2016 13th Annual IEEE International Conference on.
Brun-Laguna K, Diedrichs ALaura, Chaar JEmilio, Dujovne D, Taffernaberry JCarlos, Mercado G, Watteyne T.  2016.  A demo of the PEACH IoT-based frost event prediction system for precision agriculture. Sensing, Communication, and Networking (SECON), 2016 13th Annual IEEE International Conference on.
G
Diaz CAriel, Pérez DSebastián, Miatello H, Bromberg F.  2018.  Grapevine buds detection and localization in 3D space based on Structure from Motion and 2D image classification. Computers in Industry. 99C (Special Issue on Machine Vision for Outdoor Environments):303-312.
I
Pérez DSebastián, Bromberg F, Diaz CAriel.  2017.  Image classification for detection of winter grapevine buds in natural conditions using scale-invariant features transform, bag of features and support vector machines. Computers and Electronics in Agriculture. 135:81-95.
L
Diedrichs ALaura, Tabacchi G, Grunwaldt G, Pecchia M, Mercado G, Antivilo FGonzalez.  2014.  Low-power wireless sensor network for frost monitoring in agriculture research. Biennial Congress of Argentina (ARGENCON), 2014 IEEE.
N
Brun-Laguna K, Diedrichs ALaura, Dujovne D, Léone R, Vilajosana X, Watteyne T.  2016.  (Not so) intuitive results from a smart agriculture low-power wireless mesh deployment. Proceedings of the Eleventh ACM Workshop on Challenged Networks.
Brun-Laguna K, Diedrichs ALaura, Dujovne D, Léone R, Vilajosana X, Watteyne T.  2016.  (Not so) intuitive results from a smart agriculture low-power wireless mesh deployment. Proceedings of the Eleventh ACM Workshop on Challenged Networks.
P
Watteyne T, Diedrichs ALaura, Brun-Laguna K, Chaar JEmilio, Dujovne D, Taffernaberry JCarlos, Mercado G.  2016.  Peach: Predicting frost events in peach orchards using iot technology. EAI Endorsed Transactions on the Internet of Things. (5)
Watteyne T, Diedrichs ALaura, Brun-Laguna K, Chaar JEmilio, Dujovne D, Taffernaberry JCarlos, Mercado G.  2016.  Peach: Predicting frost events in peach orchards using iot technology. EAI Endorsed Transactions on the Internet of Things. (5)
Diedrichs ALaura, Bromberg F, Dujovne D, Brun-Laguna K, Watteyne T.  2017.  Prediction of frost events using Bayesian networks and Random Forest. IEEE Internet of Things Journal.
Diedrichs ALaura, Bromberg F, Dujovne D, Brun-Laguna K, Watteyne T.  2017.  Prediction of frost events using Bayesian networks and Random Forest. IEEE Internet of Things Journal.
Diedrichs ALaura, Bromberg F, Dujovne D, Brun-Laguna K, Watteyne T.  2018.  Prediction of frost events using machine learning and IoT sensing devices. IEEE Internet of Things Journal. 5(6):4589-4597.
Diedrichs ALaura, Bromberg F, Dujovne D, Brun-Laguna K, Watteyne T.  2018.  Prediction of frost events using machine learning and IoT sensing devices. IEEE Internet of Things Journal. 5(6):4589-4597.
Diedrichs A.  2014.  Prediction of frost location using machine learning and wireless sensor networks.
R
Mercado G, Borgo R, Antivilo FGonzalez, Uriburu GOrtiz, Diedrichs A, Farreras P, Aguirre M, Battaglia F, Tabacchi G, Tromer S.  2011.  RED SIPIA: Red de Sensores Inalámbricos para Investigación Agronómica. XIII Workshop de Investigadores en Ciencias de la Computación.
S
Ribas A, Bromberg F, Dinamarca A.  2019.  S3LF: a Socio-Technical System for Self-Determinant Governance in Collaborative Organizations. 23RD INTERNATIONAL PUBLIC MANAGEMENT NETWORK (IPMN) CONFERENCE.
Perez C, Diedrichs ALaura.  2016.  SDCP: Streaming Distributed Control Protocol.
Grünwaldt G, Pecchia M, Diedrichs ALaura, Tabacchi G, Mercado G.  2015.  Sonda de temperatura para uso agrícola. CASE Congreso Argentino de Sistemas Embebidos.
T
Marset WVillegas, Perez DSebastian, Díaz CAriel, Bromberg F.  2021.  Towards practical 2D grapevine bud detection with fully convolutional networks. Computers and Electronics in Agriculture. 182:105947.
U
Brun-Laguna K, Diedrichs ALaura, Watteyne T, Dujovne D, Taffernaberry C, Leone R, Vilajosana X.  2017.  Using SmartMesh IP in Smart Agriculture and Smart Building Deployments: it Just Works. Computer Communications journal.
Brun-Laguna K, Diedrichs ALaura, Watteyne T, Dujovne D, Taffernaberry C, Leone R, Vilajosana X.  2017.  Using SmartMesh IP in Smart Agriculture and Smart Building Deployments: it Just Works. Computer Communications journal.