| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A Big Data approach to forestry harvesting productivity
|
Rossit, Daniel Alejandro
|
|
2019
|
161 |
C |
p. 29-52
|
artikel
|
| 2 |
A comparative study of fine-tuning deep learning models for plant disease identification
|
Too, Edna Chebet
|
|
2019
|
161 |
C |
p. 272-279
|
artikel
|
| 3 |
A decision support system for fish farming using particle swarm optimization
|
Cobo, Ángel
|
|
2019
|
161 |
C |
p. 121-130
|
artikel
|
| 4 |
AgriPrediction: A proactive internet of things model to anticipate problems and improve production in agricultural crops
|
dos Santos, Uélison Jean L.
|
|
2019
|
161 |
C |
p. 202-213
|
artikel
|
| 5 |
AgroDSS: A decision support system for agriculture and farming
|
Rupnik, Rok
|
|
2019
|
161 |
C |
p. 260-271
|
artikel
|
| 6 |
A multiobjective DEA model to assess the eco-efficiency of agricultural practices within the CF + DEA method
|
Angulo-Meza, Lidia
|
|
2019
|
161 |
C |
p. 151-161
|
artikel
|
| 7 |
An inverse shortest path approach to find forwarder productivity functions
|
Søvde, Nils Egil
|
|
2019
|
161 |
C |
p. 53-61
|
artikel
|
| 8 |
CropGIS – A web application for the spatial and temporal visualization of past, present and future crop biomass development
|
Machwitz, Miriam
|
|
2019
|
161 |
C |
p. 185-193
|
artikel
|
| 9 |
Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild
|
Picon, Artzai
|
|
2019
|
161 |
C |
p. 280-290
|
artikel
|
| 10 |
Delineating robust rectangular management zones based on column generation algorithm
|
Albornoz, Víctor M.
|
|
2019
|
161 |
C |
p. 194-201
|
artikel
|
| 11 |
Development and validation of a predictive model for calving time based on sensor measurements of ingestive behavior in dairy cows
|
Zehner, Nils
|
|
2019
|
161 |
C |
p. 62-71
|
artikel
|
| 12 |
Editorial Board
|
|
|
2019
|
161 |
C |
p. ii
|
artikel
|
| 13 |
Expert system based on a fuzzy logic model for the analysis of the sustainable livestock production dynamic system
|
Vásquez, Ruben Purroy
|
|
2019
|
161 |
C |
p. 104-120
|
artikel
|
| 14 |
Generating action plans for poultry management using artificial neural networks
|
Ribeiro, Richardson
|
|
2019
|
161 |
C |
p. 131-140
|
artikel
|
| 15 |
Identifying trade-offs between sustainability dimensions in the supply chain of biodiesel in Colombia
|
Orjuela-Castro, Javier Arturo
|
|
2019
|
161 |
C |
p. 162-169
|
artikel
|
| 16 |
IoT based Smart Farming : Feature subset selection for optimized high-dimensional data using improved GA based approach for ELM
|
Kale, Archana P.
|
|
2019
|
161 |
C |
p. 225-232
|
artikel
|
| 17 |
Neglecting spatial autocorrelation causes underestimation of the error of sugarcane yield models
|
Ferraciolli, Matheus A.
|
|
2019
|
161 |
C |
p. 233-240
|
artikel
|
| 18 |
Predicting the Normalized Difference Vegetation Index (NDVI) by training a crop growth model with historical data
|
Berger, Andrés
|
|
2019
|
161 |
C |
p. 305-311
|
artikel
|
| 19 |
Prediction of the apple scab using machine learning and simple weather stations
|
Wrzesień, Mariusz
|
|
2019
|
161 |
C |
p. 252-259
|
artikel
|
| 20 |
Production planning of supply chains in the pig industry
|
Nadal-Roig, Esteve
|
|
2019
|
161 |
C |
p. 72-78
|
artikel
|
| 21 |
Prologue – BigData and DSS in agriculture
|
Cancela, Héctor
|
|
2019
|
161 |
C |
p. 1-3
|
artikel
|
| 22 |
Quantile regression forests-based modeling and environmental indicators for decision support in broiler farming
|
Diez-Olivan, Alberto
|
|
2019
|
161 |
C |
p. 141-150
|
artikel
|
| 23 |
Sensor nodes fault detection for agricultural wireless sensor networks based on NMF
|
Ludeña-Choez, Jimmy
|
|
2019
|
161 |
C |
p. 214-224
|
artikel
|
| 24 |
SIMAGRI: An agro-climate decision support tool
|
Han, Eunjin
|
|
2019
|
161 |
C |
p. 241-251
|
artikel
|
| 25 |
Spatial modeling of pigs’ drinking patterns as an alarm reducing method I. Developing a multivariate dynamic linear model
|
Dominiak, K.N.
|
|
2019
|
161 |
C |
p. 79-91
|
artikel
|
| 26 |
Spatial modeling of pigs’ drinking patterns as an alarm reducing method II. Application of a multivariate dynamic linear model
|
Dominiak, K.N.
|
|
2019
|
161 |
C |
p. 92-103
|
artikel
|
| 27 |
Suitability evaluation system for the production and sourcing of agricultural commodities
|
Jaisli, Isabel
|
|
2019
|
161 |
C |
p. 170-184
|
artikel
|
| 28 |
Synthetic bootstrapping of convolutional neural networks for semantic plant part segmentation
|
Barth, R.
|
|
2019
|
161 |
C |
p. 291-304
|
artikel
|
| 29 |
The road towards plant phenotyping via WSNs: An overview
|
Al-Turjman, Fadi
|
|
2019
|
161 |
C |
p. 4-13
|
artikel
|
| 30 |
Towards integration of data-driven agronomic experiments with data provenance
|
Cruz, Sérgio Manuel Serra da
|
|
2019
|
161 |
C |
p. 14-28
|
artikel
|
| 31 |
Web-based decision support system for canal irrigation management
|
Wang, Wenchao
|
|
2019
|
161 |
C |
p. 312-321
|
artikel
|
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