• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
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Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 30 matches

• 2019
• 
  Fadi Al-Turjman:
  The road towards plant phenotyping via WSNs: An overview. Comput. Electron. Agric. 161: 4-13 (2019)
• 
  Víctor M. Albornoz, Linco J. Ñanco, José L. Sáez:
  Delineating robust rectangular management zones based on column generation algorithm. Comput. Electron. Agric. 161: 194-201 (2019)
• 
  Ruud Barth, Joris IJsselmuiden, Jochen Hemming, Eldert J. van Henten:
  Synthetic bootstrapping of convolutional neural networks for semantic plant part segmentation. Comput. Electron. Agric. 161: 291-304 (2019)
• 
  Andrés Berger, Guillermo Ettlin, Christopher Quincke, Pablo Rodríguez-Bocca:
  Predicting the Normalized Difference Vegetation Index (NDVI) by training a crop growth model with historical data. Comput. Electron. Agric. 161: 305-311 (2019)
• 
  Héctor Cancela, Andrew J. Higgins, Adela Pagès-Bernaus, Lluís Miquel Plà-Aragonés:
  Prologue - BigData and DSS in agriculture. Comput. Electron. Agric. 161: 1-3 (2019)
• 
  Angel Cobo, Ignacio Llorente, Ladislao Luna, Manuel Luna:
  A decision support system for fish farming using particle swarm optimization. Comput. Electron. Agric. 161: 121-130 (2019)
• 
  Sérgio Manuel Serra da Cruz, José Antonio Pires do Nascimento:
  Towards integration of data-driven agronomic experiments with data provenance. Comput. Electron. Agric. 161: 14-28 (2019)
• 
  Alberto Diez-Olivan, Xavier Averós, Ricardo Sanz, Basilio Sierra, Inma Estevez:
  Quantile regression forests-based modeling and environmental indicators for decision support in broiler farming. Comput. Electron. Agric. 161: 141-150 (2019)
• 
  Katarina N. Dominiak, Jeff Hindsborg, Lene Juul Pedersen, Anders Ringgaard Kristensen:
  Spatial modeling of pigs' drinking patterns as an alarm reducing method II. Application of a multivariate dynamic linear model. Comput. Electron. Agric. 161: 92-103 (2019)
• 
  Katarina N. Dominiak, Lene Juul Pedersen, Anders Ringgaard Kristensen:
  Spatial modeling of pigs' drinking patterns as an alarm reducing method I. Developing a multivariate dynamic linear model. Comput. Electron. Agric. 161: 79-91 (2019)
• 
  Matheus A. Ferraciolli, Felipe Ferreira Bocca, Luiz Henrique A. Rodrigues:
  Neglecting spatial autocorrelation causes underestimation of the error of sugarcane yield models. Comput. Electron. Agric. 161: 233-240 (2019)
• 
  Eun Jin Han, Walter E. Baethgen, Amor V. M. Ines, Flora Mer, Julieta Soler Souza, Mercedes Berterretche, Gonzalo Atunez, Carmen Barreira:
  SIMAGRI: An agro-climate decision support tool. Comput. Electron. Agric. 161: 241-251 (2019)
• 
  Isabel Jaisli, Patrick Laube, Sonja Trachsel, Pascal Ochsner, Sarah Schuhmacher:
  Suitability evaluation system for the production and sourcing of agricultural commodities. Comput. Electron. Agric. 161: 170-184 (2019)
• 
  Archana Pritam Kale, Shefali Sonavane:
  IoT based Smart Farming : Feature subset selection for optimized high-dimensional data using improved GA based approach for ELM. Comput. Electron. Agric. 161: 225-232 (2019)
• 
  Jimmy Ludeña-Choez, Juan José Choquehuanca Zevallos, Efraín Mayhua-López:
  Sensor nodes fault detection for agricultural wireless sensor networks based on NMF. Comput. Electron. Agric. 161: 214-224 (2019)
• 
  Miriam Machwitz, Erik Haß, Jürgen Junk, Thomas Udelhoven, Martin Schlerf:
  CropGIS - A web application for the spatial and temporal visualization of past, present and future crop biomass development. Comput. Electron. Agric. 161: 185-193 (2019)
• 
  Lidia Angulo Meza, Marcela C. González-Araya, Alfredo Iriarte, Ricardo Rebolledo-Leiva, João Carlos Soares de Mello:
  A multiobjective DEA model to assess the eco-efficiency of agricultural practices within the CF + DEA method. Comput. Electron. Agric. 161: 151-161 (2019)
• 
  Esteve Nadal-Roig, Lluís M. Plà-Aragonés, Antonio Alonso-Ayuso:
  Production planning of supply chains in the pig industry. Comput. Electron. Agric. 161: 72-78 (2019)
• 
  Javier Arturo Orjuela-Castro, Johan Alexander Aranda-Pinilla, Carlos Eduardo Moreno-Mantilla:
  Identifying trade-offs between sustainability dimensions in the supply chain of biodiesel in Colombia. Comput. Electron. Agric. 161: 162-169 (2019)
• 
  Artzai Picón, Aitor Alvarez-Gila, Maximiliam Seitz, Amaia Ortiz-Barredo, Jone Echazarra, Alexander Johannes:
  Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild. Comput. Electron. Agric. 161: 280-290 (2019)
• 
  Richardson Ribeiro, Dalcimar Casanova, Marcelo Teixeira, André L. Wirth, Heitor Murilo Gomes, André Pinz Borges, Fabrício Enembreck:
  Generating action plans for poultry management using artificial neural networks. Comput. Electron. Agric. 161: 131-140 (2019)
• 
  Daniel Alejandro Rossit, Alejandro Olivera, Víctor Viana Céspedes, Diego Broz:
  A Big Data approach to forestry harvesting productivity. Comput. Electron. Agric. 161: 29-52 (2019)
• 
  Rok Rupnik, Matjaz Kukar, Petar Vracar, Domen Kosir, Darko Pevec, Zoran Bosnic:
  AgroDSS: A decision support system for agriculture and farming. Comput. Electron. Agric. 161: 260-271 (2019)
• 
  Uélison Jean Lopes dos Santos, Gustavo Pessin, Cristiano André da Costa, Rodrigo da Rosa Righi:
  AgriPrediction: A proactive internet of things model to anticipate problems and improve production in agricultural crops. Comput. Electron. Agric. 161: 202-213 (2019)
• 
  Nils Egil Søvde, Rasmus Astrup, Bruce Talbot:
  An inverse shortest path approach to find forwarder productivity functions. Comput. Electron. Agric. 161: 53-61 (2019)
• 
  Edna Chebet Too, Li Yujian, Sam Njuki, Liu Yingchun:
  A comparative study of fine-tuning deep learning models for plant disease identification. Comput. Electron. Agric. 161: 272-279 (2019)
• 
  Rubén Purroy-Vásquez, Alberto Alfonso Aguilar-Lasserre, Mildred Virginia López-Segura, Lidilia Cruz Rivero, Airam Asareth Rodríguez-Duran, Marco Antonio Rojas-Luna:
  Expert system based on a fuzzy logic model for the analysis of the sustainable livestock production dynamic system. Comput. Electron. Agric. 161: 104-120 (2019)
• 
  Wenchao Wang, Yuanlai Cui, Yufeng Luo, Zenghuan Li, Junwei Tan:
  Web-based decision support system for canal irrigation management. Comput. Electron. Agric. 161: 312-321 (2019)
• 
  Mariusz Wrzesien, Waldemar Treder, Krzysztof Klamkowski, Witold R. Rudnicki:
  Prediction of the apple scab using machine learning and simple weather stations. Comput. Electron. Agric. 161: 252-259 (2019)
• 
  Nils Zehner, Joel J. Niederhauser, Matthias Schick, Christina Umstätter:
  Development and validation of a predictive model for calving time based on sensor measurements of ingestive behavior in dairy cows. Comput. Electron. Agric. 161: 62-71 (2019)