• 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
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

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 91 matches

• 2020
• 
  Emrullah Acar:
  Detection of unregistered electric distribution transformers in agricultural fields with the aid of Sentinel-1 SAR images by machine learning approaches. Comput. Electron. Agric. 175: 105559 (2020)
• 
  Pramod Aggarwal, Paresh Shirsath, Shalika Vyas, Ponraj Arumugam, Sheshakumar Goroshi, S. Aravind, Mansi Nagpal, Madhur Chanana:
  Application note: Crop-loss assessment monitor - A multi-model and multi-stage decision support system. Comput. Electron. Agric. 175: 105619 (2020)
• 
  André Silva Pinto de Aguiar, Filipe Baptista Neves dos Santos, Luís Carlos Feliz dos Santos, Vítor Manuel de Jesus Filipe, Armando Jorge Miranda de Sousa:
  Vineyard trunk detection using deep learning - An experimental device benchmark. Comput. Electron. Agric. 175: 105535 (2020)
• 
  Claudia Arcidiacono, Massimo Mancino, S. M. C. Porto:
  Moving mean-based algorithm for dairy cow's oestrus detection from uniaxial-accelerometer data acquired in a free-stall barn. Comput. Electron. Agric. 175: 105498 (2020)
• 
  David Argüeso, Artzai Picón, Unai Irusta, Alfonso Medela, Miguel G. San-Emeterio, Arantza Bereciartua, Aitor Alvarez-Gila:
  Few-Shot Learning approach for plant disease classification using images taken in the field. Comput. Electron. Agric. 175: 105542 (2020)
• 
  Davoud Ashourloo, Hamid Salehi Shahrabi, Mohsen Azadbakht, Amir Moeini Rad, Hossein Aghighi, Soheil Radiom:
  A novel method for automatic potato mapping using time series of Sentinel-2 images. Comput. Electron. Agric. 175: 105583 (2020)
• 
  Taskeen Ashraf, Yasir Niaz Khan:
  Weed density classification in rice crop using computer vision. Comput. Electron. Agric. 175: 105590 (2020)
• 
  Sahin Aydin, Mehmet N. Aydin:
  Ontology-based data acquisition model development for agricultural open data platforms and implementation of OWL2MVC tool. Comput. Electron. Agric. 175: 105589 (2020)
• 
  José Manuel Cadenas, María del Carmen Garrido, Raquel Martínez-España, Miguel A. Guillén-Navarro:
  Making decisions for frost prediction in agricultural crops in a soft computing framework. Comput. Electron. Agric. 175: 105587 (2020)
• 
  Tymoteusz Cejrowski, Julian Szymanski, Doina Logofatu:
  Buzz-based recognition of the honeybee colony circadian rhythm. Comput. Electron. Agric. 175: 105586 (2020)
• 
  Muahmmad M. A. Chaudhry, Maria Luisa Amodio, José M. Amigo, Maria L. V. de Chiara, Farahmand Babellahi, Giancarlo Colelli:
  Feasibility study for the surface prediction and mapping of phytonutrients in minimally processed rocket leaves (Diplotaxis tenuifolia) during storage by hyperspectral imaging. Comput. Electron. Agric. 175: 105575 (2020)
• 
  Jin Chen, Yi Lian, Yaoming Li:
  Real-time grain impurity sensing for rice combine harvesters using image processing and decision-tree algorithm. Comput. Electron. Agric. 175: 105591 (2020)
• 
  Chen Chen, Weixing Zhu, Maciej Oczak, Kristina Maschat, Johannes Baumgartner, Mona Lilian Vestbjerg Larsen, Tomas Norton:
  A computer vision approach for recognition of the engagement of pigs with different enrichment objects. Comput. Electron. Agric. 175: 105580 (2020)
• 
  Yi Chen, Baohua Zhang, Jun Zhou, Kai Wang:
  Real-time 3D unstructured environment reconstruction utilizing VR and Kinect-based immersive teleoperation for agricultural field robots. Comput. Electron. Agric. 175: 105579 (2020)
• 
  Min Yan Chia, Yuk Feng Huang, Chai Hoon Koo:
  Support vector machine enhanced empirical reference evapotranspiration estimation with limited meteorological parameters. Comput. Electron. Agric. 175: 105577 (2020)
• 
  Longhuan Du, Chenming Hu, Chaowu Yang, Li Yang, Huarui Du, Qingyun Li, Chunlin Yu, Lingzhi Xie, Xiaosong Jiang:
  Investigation of a preliminary ventilation energy-recovery system for poultry houses. Comput. Electron. Agric. 175: 105521 (2020)
• 
  Borja Espejo-García, Nikolaos Mylonas, Loukas Athanasakos, Spyros Fountas:
  Improving weeds identification with a repository of agricultural pre-trained deep neural networks. Comput. Electron. Agric. 175: 105593 (2020)
• 
  Júlio César Dalla Mora Esquerdo, João Francisco Gonçalves Antunes, Alexandre Camargo Coutinho, Eduardo Antonio Speranza, Andréia Akemi Kondo, João Luis dos Santos:
  SATVeg: A web-based tool for visualization of MODIS vegetation indices in South America. Comput. Electron. Agric. 175: 105516 (2020)
• 
  Miguel A. Ferrer, Josep A. Calduch-Giner, Moisés Díaz, Javier Sosa, Enrique Rosell-Moll, Judith Santana Abril, Graciela Santana Sosa, Tomás Bautista Delgado, Cristina Carmona, Juan Antonio Martos-Sitcha, Enric Cabruja, Juan Manuel Afonso, Aurelio Vega, Manuel Lozano, Juan Antonio Montiel-Nelson, Jaume Pérez-Sánchez:
  From operculum and body tail movements to different coupling of physical activity and respiratory frequency in farmed gilthead sea bream and European sea bass. Insights on aquaculture biosensing. Comput. Electron. Agric. 175: 105531 (2020)
• 
  Gudina Legese Feyisa, Leo Kris Palao, Andy Nelson, Murali Krishna Gumma, Ambica Paliwal, Khin Thawda Win, Khin Htar Nge, David E. Johnson:
  Characterizing and mapping cropping patterns in a complex agro-ecosystem: An iterative participatory mapping procedure using machine learning algorithms and MODIS vegetation indices. Comput. Electron. Agric. 175: 105595 (2020)
• 
  V. Giovanetti, R. Cossu, G. Molle, M. Acciaro, M. Mameli, Andrea Cabiddu, M. G. Serra, C. Manca, S. P. G. Rassu, M. Decandia, Corrado Dimauro:
  Prediction of bite number and herbage intake by an accelerometer-based system in dairy sheep exposed to different forages during short-term grazing tests. Comput. Electron. Agric. 175: 105582 (2020)
• 
  Karolina Golicz, Stephen H. Hallett, Ruben Sakrabani, Joy Ghosh:
  Adapting smartphone app used in water testing, for soil nutrient analysis. Comput. Electron. Agric. 175: 105532 (2020)
• 
  Leonardo Guevara, Maciej Marcin Michalek, Fernando Alfredo Auat Cheeín:
  Headland turning algorithmization for autonomous N-trailer vehicles in agricultural scenarios. Comput. Electron. Agric. 175: 105541 (2020)
• 
  Pengfei Guo, Delu Zeng, Yunbo Tian, Shuangyin Liu, Hantao Liu, Daoliang Li:
  Multi-scale enhancement fusion for underwater sea cucumber images based on human visual system modelling. Comput. Electron. Agric. 175: 105608 (2020)
• 
  Muhammad K. A. Hamdan, Diane T. Rover, Matthew J. Darr, John Just:
  Generalizable semi-supervised learning method to estimate mass from sparsely annotated images. Comput. Electron. Agric. 175: 105533 (2020)
• 
  Gilson Augusto Helfer, Jorge Luis Victória Barbosa, Ronaldo dos Santos, Adilson Ben da Costa:
  A computational model for soil fertility prediction in ubiquitous agriculture. Comput. Electron. Agric. 175: 105602 (2020)
• 
  Wenwu Hu, Ping Jiang, Feifei Xiao, Sheng Jin, Yahui Luo, Qiang Liu, Lixia Long, Yixin Shi:
  Identifying rice seedling bands based on slope virtualization clustering. Comput. Electron. Agric. 175: 105470 (2020)
• 
  Juan Huan, Hui Li, Mingbao Li, Bo Chen:
  Prediction of dissolved oxygen in aquaculture based on gradient boosting decision tree and long short-term memory network: A study of Chang Zhou fishery demonstration base, China. Comput. Electron. Agric. 175: 105530 (2020)
• 
  Supriya Jaiswal, Makarand Sudhakar Ballal:
  Fuzzy inference based irrigation controller for agricultural demand side management. Comput. Electron. Agric. 175: 105537 (2020)
• 
  David Janke, Alfonso Caiazzo, Naveed Ahmed, Najib Alia, Oswald Knoth, Baptiste Moreau, Ulrich Wilbrandt, Dilya Willink, Thomas Amon, Volker John:
  On the feasibility of using open source solvers for the simulation of a turbulent air flow in a dairy barn. Comput. Electron. Agric. 175: 105546 (2020)

skipping 61 more matches