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Computers and Electronics in Agriculture, Volume 161
Volume 161, June 2019
- Héctor Cancela, Andrew J. Higgins, Adela Pagès-Bernaus, Lluís Miquel Plà-Aragonés:
Prologue - BigData and DSS in agriculture. 1-3 - Fadi Al-Turjman:
The road towards plant phenotyping via WSNs: An overview. 4-13 - Sérgio Manuel Serra da Cruz, José Antonio Pires do Nascimento:
Towards integration of data-driven agronomic experiments with data provenance. 14-28 - Daniel Alejandro Rossit, Alejandro Olivera, Víctor Viana Céspedes, Diego Broz:
A Big Data approach to forestry harvesting productivity. 29-52 - Nils Egil Søvde, Rasmus Astrup, Bruce Talbot:
An inverse shortest path approach to find forwarder productivity functions. 53-61 - 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. 62-71 - Esteve Nadal-Roig, Lluís M. Plà-Aragonés, Antonio Alonso-Ayuso:
Production planning of supply chains in the pig industry. 72-78 - 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. 79-91 - 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. 92-103 - 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. 104-120 - Angel Cobo, Ignacio Llorente, Ladislao Luna, Manuel Luna:
A decision support system for fish farming using particle swarm optimization. 121-130 - 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. 131-140 - 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. 141-150 - 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. 151-161 - 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. 162-169 - Isabel Jaisli, Patrick Laube, Sonja Trachsel, Pascal Ochsner, Sarah Schuhmacher:
Suitability evaluation system for the production and sourcing of agricultural commodities. 170-184 - 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. 185-193 - Víctor M. Albornoz, Linco J. Ñanco, José L. Sáez:
Delineating robust rectangular management zones based on column generation algorithm. 194-201 - 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. 202-213 - Jimmy Ludeña-Choez, Juan José Choquehuanca Zevallos, Efraín Mayhua-López:
Sensor nodes fault detection for agricultural wireless sensor networks based on NMF. 214-224 - Archana Pritam Kale, Shefali Sonavane:
IoT based Smart Farming : Feature subset selection for optimized high-dimensional data using improved GA based approach for ELM. 225-232 - Matheus A. Ferraciolli, Felipe Ferreira Bocca, Luiz Henrique A. Rodrigues:
Neglecting spatial autocorrelation causes underestimation of the error of sugarcane yield models. 233-240 - 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. 241-251 - Mariusz Wrzesien, Waldemar Treder, Krzysztof Klamkowski, Witold R. Rudnicki:
Prediction of the apple scab using machine learning and simple weather stations. 252-259 - Rok Rupnik, Matjaz Kukar, Petar Vracar, Domen Kosir, Darko Pevec, Zoran Bosnic:
AgroDSS: A decision support system for agriculture and farming. 260-271 - Edna Chebet Too, Li Yujian, Sam Njuki, Liu Yingchun:
A comparative study of fine-tuning deep learning models for plant disease identification. 272-279 - 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. 280-290 - Ruud Barth, Joris IJsselmuiden, Jochen Hemming, Eldert J. van Henten:
Synthetic bootstrapping of convolutional neural networks for semantic plant part segmentation. 291-304 - 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. 305-311 - Wenchao Wang, Yuanlai Cui, Yufeng Luo, Zenghuan Li, Junwei Tan:
Web-based decision support system for canal irrigation management. 312-321
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