| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
ABS volume 8 issue 2 Cover and Back matter
|
|
|
|
8 |
2 |
p. b1-b2
|
artikel
|
| 2 |
ABS volume 8 issue 2 Cover and Front matter
|
|
|
|
8 |
2 |
p. f1-f18
|
artikel
|
| 3 |
Accuracy assessment of a mobile terrestrial laser scanner for tree crops
|
Karp, F.H.S.
|
|
|
8 |
2 |
p. 178-182
|
artikel
|
| 4 |
A geostatistical approach for modelling and combining spatial data with different support
|
Castrignanò, A.
|
|
|
8 |
2 |
p. 594-599
|
artikel
|
| 5 |
Agronōmics: transforming crop science through digital technologies
|
Sylvester-Bradley, R.
|
|
|
8 |
2 |
p. 728-733
|
artikel
|
| 6 |
A multi sensor data fusion approach for creating variable depth tillage zones
|
Whattoff, D.
|
|
|
8 |
2 |
p. 461-465
|
artikel
|
| 7 |
An Optical Yield Monitor for Peanuts – Proof of Concept and Evaluation
|
Porter, E.
|
|
|
8 |
2 |
p. 199-203
|
artikel
|
| 8 |
An uncertainty-based comprehensive decision support system for site-specific crop management
|
Adamchuk, V.
|
|
|
8 |
2 |
p. 625-629
|
artikel
|
| 9 |
Application of a Wireless Sensor Network for Multi-Depth Soil Moisture Monitoring at Farm Scale in New Zealand’s Hill Country
|
Hajdu, I.
|
|
|
8 |
2 |
p. 412-417
|
artikel
|
| 10 |
Application of the Kinect sensor for three dimensional characterization of vine canopy
|
Marinello, F.
|
|
|
8 |
2 |
p. 525-529
|
artikel
|
| 11 |
Applications of Unmanned Aerial Vehicles in Weed Science
|
Prince Czarnecki, J.M.
|
|
|
8 |
2 |
p. 807-811
|
artikel
|
| 12 |
A review of Precision Agriculture as an aid to Nutrient Management in Intensive Grassland Areas in North West Europe
|
Higgins, S.
|
|
|
8 |
2 |
p. 782-786
|
artikel
|
| 13 |
A spectral correction method for multi-scattering effects in close range hyperspectral imagery of vegetation scenes: application to nitrogen content assessment in wheat
|
Rabatel, G.
|
|
|
8 |
2 |
p. 353-358
|
artikel
|
| 14 |
Assessment of an empirical spatio-temporal model of the grapevine phenology at the within-field scale
|
Verdugo-Vásquez, N.
|
|
|
8 |
2 |
p. 534-539
|
artikel
|
| 15 |
A strategy to instigate SSCM in Australian potato production
|
Whelan, B.M.
|
|
|
8 |
2 |
p. 743-748
|
artikel
|
| 16 |
A systemic approach to identify relevant information provided by UAV in precision viticulture
|
Pichon, L.
|
|
|
8 |
2 |
p. 823-827
|
artikel
|
| 17 |
A tool based on remotely sensed LAI, yield maps and a crop model to recommend variable rate nitrogen fertilization for wheat
|
Bourdin, F.
|
|
|
8 |
2 |
p. 672-677
|
artikel
|
| 18 |
Author Index
|
|
|
|
8 |
2 |
p. I-III
|
artikel
|
| 19 |
Automated Measurement of Maize Stalk Diameter and Plant Spacing
|
Schepers, J.S.
|
|
|
8 |
2 |
p. 220-223
|
artikel
|
| 20 |
Automating the process of importing data into an FMIS using information from tractor’s CAN-Bus communication
|
Paraforos, D.S.
|
|
|
8 |
2 |
p. 650-655
|
artikel
|
| 21 |
A Web-based GIS Decision Support Tool for Determining Corn Aflatoxin Risk: A Case Study Data from Southern Georgia, USA
|
Navarro, F.
|
|
|
8 |
2 |
p. 718-723
|
artikel
|
| 22 |
A Whole Farm Analysis of the Implications of Variable Maturity Groups on Harvest Logistics and Net Returns
|
Martin, B.
|
|
|
8 |
2 |
p. 668-671
|
artikel
|
| 23 |
Can temperatures from an online weather forecast service be suitable for modelling growth stages using a CERES-Wheat type phenology model?
|
Launspach, M.
|
|
|
8 |
2 |
p. 684-688
|
artikel
|
| 24 |
Capability of crop canopy sensing to predict crop parameters of cut grass swards aiming at early season variable rate nitrogen top dressings
|
Portz, G.
|
|
|
8 |
2 |
p. 792-795
|
artikel
|
| 25 |
Characterizing spatial variability in soil water content for precision irrigation management
|
de Lara, A.
|
|
|
8 |
2 |
p. 418-422
|
artikel
|
| 26 |
Clustering of Laser Scanner Perception Points of Maize Plants
|
Reiser, D.
|
|
|
8 |
2 |
p. 204-209
|
artikel
|
| 27 |
Combined use of remote sensing and soil sensors to detect variability in orchards with previous changes in land use and landforms: consequences for management
|
Martínez-Casasnovas, J.A.
|
|
|
8 |
2 |
p. 492-497
|
artikel
|
| 28 |
Committee Information
|
|
|
|
8 |
2 |
p. 148-149
|
artikel
|
| 29 |
Comparing efficiency of different sampling schemes to estimate yield and quality parameters in fruit orchards
|
Arnó, J.
|
|
|
8 |
2 |
p. 471-476
|
artikel
|
| 30 |
Comparison and selection of vegetation indices for detection of Sclerotinia Stem Rot on oilseed rape leaves using ground-based hyperspectral imaging
|
Zhang, C.
|
|
|
8 |
2 |
p. 264-266
|
artikel
|
| 31 |
Conceptual Spatial Crop Models for Potato Production
|
Chen, H.
|
|
|
8 |
2 |
p. 678-683
|
artikel
|
| 32 |
Connecting crop models with highly resolved sensor observations to improve site-specific fertilisation
|
Wallor, E.
|
|
|
8 |
2 |
p. 689-693
|
artikel
|
| 33 |
Conservative Precision Agriculture: an assessment of technical feasibility and energy efficiency within the LIFE+ AGRICARE project
|
Cillis, Donato
|
|
|
8 |
2 |
p. 439-443
|
artikel
|
| 34 |
Creating a statistically representative set of Danish agricultural field shapes to robustly test route planning algorithms
|
Skou-Nielsen, N.
|
|
|
8 |
2 |
p. 615-619
|
artikel
|
| 35 |
Crop Production of the future – possible with a new approach?
|
Urso, L.M.
|
|
|
8 |
2 |
p. 734-737
|
artikel
|
| 36 |
Delineation of management zones based on the Rasch model in an olive orchard
|
Rebollo, F.J.
|
|
|
8 |
2 |
p. 610-614
|
artikel
|
| 37 |
Design and development of a navigation system for agricultural aerial spraying
|
Zhang, M.J.
|
|
|
8 |
2 |
p. 870-875
|
artikel
|
| 38 |
Design of Smart Agriculture Japan Model
|
Morimoto, E.
|
|
|
8 |
2 |
p. 713-717
|
artikel
|
| 39 |
Determining Corn Aflatoxin Risk within Counties in Southern Georgia, USA using Remotely Sensed Data
|
Kerry, R.
|
|
|
8 |
2 |
p. 640-644
|
artikel
|
| 40 |
Development of a sensor fusion method for crop row tracking operations
|
Benet, B.
|
|
|
8 |
2 |
p. 583-589
|
artikel
|
| 41 |
Development of methods for remotely sensing grass growth to enable precision application of nitrogen fertilizer
|
Berry, P.M.
|
|
|
8 |
2 |
p. 758-763
|
artikel
|
| 42 |
3D monitoring of woody crops using an unmanned ground vehicle
|
Ribeiro, A.
|
|
|
8 |
2 |
p. 210-215
|
artikel
|
| 43 |
Dynamic Variable Rate Irrigation – A Tool for Greatly Improving Water Use Efficiency
|
Liakos, V.
|
|
|
8 |
2 |
p. 557-563
|
artikel
|
| 44 |
Early stage sugarcane biomass accumulation prediction by proximal sensing and crop parameters
|
Rocha, M.G.
|
|
|
8 |
2 |
p. 216-219
|
artikel
|
| 45 |
Early stage variable rate nitrogen fertilization of silage maize driven by multi-temporal clustering of archive satellite data
|
Casa, R.
|
|
|
8 |
2 |
p. 288-292
|
artikel
|
| 46 |
Editorial
|
|
|
|
8 |
2 |
p. 147
|
artikel
|
| 47 |
Educating producers on the profitability of precision agriculture technologies
|
Shockley, J.
|
|
|
8 |
2 |
p. 724-727
|
artikel
|
| 48 |
Effects of precision potato planting using GPS-based cultivation
|
Reckleben, Y.
|
|
|
8 |
2 |
p. 450-454
|
artikel
|
| 49 |
Efficacy of Variable Rate Soil-applied Herbicides Based on Soil Electrical Conductivity and Organic Matter Differences
|
Gundy, G.J.
|
|
|
8 |
2 |
p. 277-282
|
artikel
|
| 50 |
Estimating pasture biomass with active optical sensors
|
Andersson, K.
|
|
|
8 |
2 |
p. 754-757
|
artikel
|
| 51 |
Evaluating a Crop Circle active sensor-based in-season nitrogen management algorithm in different winter wheat cropping systems
|
Zhou, L.
|
|
|
8 |
2 |
p. 364-367
|
artikel
|
| 52 |
Evaluating satellite remote sensing as a method for measuring yield variability in Avocado and Macadamia tree crops
|
Robson, A.
|
|
|
8 |
2 |
p. 498-504
|
artikel
|
| 53 |
Evaluation of apple flowering intensity using color image processing for tree specific chemical thinning
|
Krikeb, O.
|
|
|
8 |
2 |
p. 466-470
|
artikel
|
| 54 |
Evaluation of relevant sprayer parameters for use with precision irrigation in landscape
|
Shahidian, S.
|
|
|
8 |
2 |
p. 865-869
|
artikel
|
| 55 |
Evaluation of spectral-based and canopy-based vegetation indices from UAV and Sentinel 2 images to assess spatial variability and ground vine parameters
|
Matese, A.
|
|
|
8 |
2 |
p. 817-822
|
artikel
|
| 56 |
Evaluation of the CERES-Rice Model for Precision Nitrogen Management for Rice in Northeast China
|
Zhang, J.
|
|
|
8 |
2 |
p. 328-332
|
artikel
|
| 57 |
Evaluation of the chlorophyll meter and GreenSeeker for the assessment of rice nitrogen status
|
Zhang, Ke
|
|
|
8 |
2 |
p. 359-363
|
artikel
|
| 58 |
Evaluation of trafficked error paths of trailers in sugarcane fields
|
Passalaqua, B.P.
|
|
|
8 |
2 |
p. 606-609
|
artikel
|
| 59 |
Expedited generation of terrain digital classes in flat areas from UAV images for precision agriculture purposes
|
Pineda, M.C.
|
|
|
8 |
2 |
p. 828-832
|
artikel
|
| 60 |
Farmers’ Adoption Path of Precision Agriculture Technology
|
Miller, N.J.
|
|
|
8 |
2 |
p. 708-712
|
artikel
|
| 61 |
From a Precision Agriculture Consortium to a Dual Master’s Degree in Sustainable Agriculture
|
Vellidis, G.
|
|
|
8 |
2 |
p. 738-742
|
artikel
|
| 62 |
Future approaches to facilitate large-scale adoption of thermal based images as key input in the production of dynamic irrigation management zones
|
Cohen, Y.
|
|
|
8 |
2 |
p. 546-550
|
artikel
|
| 63 |
GIS-Based Spatial Nitrogen Management Model for Maize
|
Memic, E.
|
|
|
8 |
2 |
p. 312-316
|
artikel
|
| 64 |
Guiding cover crop establishment to scavenge residual soil nitrate nitrogen using site-specific approaches
|
Grove, J.H.
|
|
|
8 |
2 |
p. 293-298
|
artikel
|
| 65 |
High resolution strawberry field monitoring using the compact hyperspectral imaging solution COSI
|
Delalieux, S.
|
|
|
8 |
2 |
p. 156-161
|
artikel
|
| 66 |
How remote sensing is offering complementing and diverging opportunities for precision agriculture users and researchers
|
Jackson, R.
|
|
|
8 |
2 |
p. 383-387
|
artikel
|
| 67 |
How significantly different are your within field zones?
|
Tisseyre, B.
|
|
|
8 |
2 |
p. 620-624
|
artikel
|
| 68 |
Hyperspectral Aerial Imaging for Grassland Yield Estimation
|
Geipel, J.
|
|
|
8 |
2 |
p. 770-775
|
artikel
|
| 69 |
Hyperspectral imagery as a supporting tool in precision irrigation of karst landscapes
|
Zovko, M.
|
|
|
8 |
2 |
p. 578-582
|
artikel
|
| 70 |
Identification of High-Variation Fields based on Open Satellite Imagery
|
Jeppesen, J.H.
|
|
|
8 |
2 |
p. 388-393
|
artikel
|
| 71 |
Identification of the onset of disease within a potato crop using a UAV equipped with un-modified and modified commercial off-the-shelf digital cameras
|
Gibson-Poole, S.
|
|
|
8 |
2 |
p. 812-816
|
artikel
|
| 72 |
Impacts of Variable Rate Nitrogen (VRN) on Nitrate-N Losses from Tile Drained Maize in Minnesota, USA
|
Wilson, G.
|
|
|
8 |
2 |
p. 317-321
|
artikel
|
| 73 |
Implementation of Ag Data Agricultural Services for Precision Agriculture
|
Shahar, Y.
|
|
|
8 |
2 |
p. 656-661
|
artikel
|
| 74 |
Improving vineyard water use efficiency and yield with variable rate irrigation in California
|
Sanchez, L.A.
|
|
|
8 |
2 |
p. 574-577
|
artikel
|
| 75 |
In field identification of herbicide resistant Apera spica-venti using chlorophyll fluorescence
|
Wang, P.
|
|
|
8 |
2 |
p. 283-287
|
artikel
|
| 76 |
Interactions between landscape defined management zones and grazing management systems
|
Pena-Yewtukhiw, E.M.
|
|
|
8 |
2 |
p. 787-791
|
artikel
|
| 77 |
Inversion of soil electrical conductivity data to estimate layered soil properties
|
Sudduth, K.A.
|
|
|
8 |
2 |
p. 433-438
|
artikel
|
| 78 |
Local adaptation of a national digital soil map for use in precision agriculture
|
Piikki, K.
|
|
|
8 |
2 |
p. 430-432
|
artikel
|
| 79 |
Machine vision for spot-application of agrochemical in wild blueberry fields
|
Esau, T.
|
|
|
8 |
2 |
p. 272-276
|
artikel
|
| 80 |
Mapping Cynodon dactylon in vineyards using UAV images for site-specific weed control
|
de Castro, A.I.
|
|
|
8 |
2 |
p. 267-271
|
artikel
|
| 81 |
Mapping Optimum Nitrogen Crop Uptake
|
Villodre, J.
|
|
|
8 |
2 |
p. 322-327
|
artikel
|
| 82 |
Mapping properties of an asynchronous crop: the example of time interval between flowering and maturity of banana
|
Lamour, J.
|
|
|
8 |
2 |
p. 481-486
|
artikel
|
| 83 |
Mapping within-field biomass variability: a remote sensing-based approach
|
Campos, I.
|
|
|
8 |
2 |
p. 764-769
|
artikel
|
| 84 |
Measuring canopy size and nitrogen content in oilseed rape for variable plant growth regulator and nitrogen fertiliser application
|
Kendall, S.L.
|
|
|
8 |
2 |
p. 299-302
|
artikel
|
| 85 |
Measuring crop canopy – the development of a dynamic system for precision fruit crop spraying
|
Palleja Cabre, T.
|
|
|
8 |
2 |
p. 250-254
|
artikel
|
| 86 |
Modelling and simulation of a no-till seeder vertical motion dynamics for precise seeding depth
|
Sharipov, G.
|
|
|
8 |
2 |
p. 455-460
|
artikel
|
| 87 |
Modelling environment for an electrical driven selective sprayer robot in orchards
|
Linz, A.
|
|
|
8 |
2 |
p. 848-853
|
artikel
|
| 88 |
Monitoring crop growth and key agronomic parameters through multitemporal observations and time series analysis from remote sensing big data
|
Karantzalos, K.
|
|
|
8 |
2 |
p. 394-399
|
artikel
|
| 89 |
Monitoring crop N status by using red edge-based indices
|
González-Piqueras, J.
|
|
|
8 |
2 |
p. 338-342
|
artikel
|
| 90 |
Monitoring wheat fields by RapidScan: accuracy and limitations
|
Bonfil, D.J.
|
|
|
8 |
2 |
p. 333-337
|
artikel
|
| 91 |
Multi-sensor imaging retrofit system to test precision agriculture machine-based applications
|
Menesatti, P.
|
|
|
8 |
2 |
p. 189-192
|
artikel
|
| 92 |
Multispectral band selection for imaging sensor design for vineyard disease detection: case of Flavescence Dorée
|
Al-Saddik, H.
|
|
|
8 |
2 |
p. 150-155
|
artikel
|
| 93 |
On-the-go thermal imaging for water status assessment in commercial vineyards
|
Gutiérrez, S.
|
|
|
8 |
2 |
p. 520-524
|
artikel
|
| 94 |
Ontology as Contribution to Delegate Individual Responsibility in Cotton Production in Brazil
|
Santos, C.
|
|
|
8 |
2 |
p. 635-639
|
artikel
|
| 95 |
On using the precise sensor
|
Pérez-Fernández, E.
|
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|
8 |
2 |
p. 193-198
|
artikel
|
| 96 |
Optimization of an automatic irrigation system for precision irrigation of blueberries grown in sandy soil
|
Egea, G.
|
|
|
8 |
2 |
p. 551-556
|
artikel
|
| 97 |
Orange tree canopy volume estimation by manual and LiDAR-based methods
|
Colaço, A.F.
|
|
|
8 |
2 |
p. 477-480
|
artikel
|
| 98 |
Over-the-row harvester damage evaluation in super-high-density olive orchard by on-board sensing techniques
|
Martinez-Guanter, J.
|
|
|
8 |
2 |
p. 487-491
|
artikel
|
| 99 |
Plant disease detection by hyperspectral imaging: from the lab to the field
|
Mahlein, A.K.
|
|
|
8 |
2 |
p. 238-243
|
artikel
|
| 100 |
Plant growth regulators on winter wheat – yield benefits of variable rate application
|
Griffin, S.
|
|
|
8 |
2 |
p. 233-237
|
artikel
|
| 101 |
Plough section control for optimised uniformity in primary tillage
|
Nielsen, S.K.
|
|
|
8 |
2 |
p. 444-449
|
artikel
|
| 102 |
Potato Disease Classification Using Convolution Neural Networks
|
Oppenheim, D.
|
|
|
8 |
2 |
p. 244-249
|
artikel
|
| 103 |
Potential for Controlled Traffic Farming (CTF) in Grass Silage Production: Agronomics, system design and economics
|
Hargreaves, P.R.
|
|
|
8 |
2 |
p. 776-781
|
artikel
|
| 104 |
Potential of freely available remote sensing visible images to support growers in delineating within field zones
|
Crestey, T.
|
|
|
8 |
2 |
p. 372-376
|
artikel
|
| 105 |
Potential of on-board colour imaging for in-field detection and counting of grape bunches at early fruiting stages
|
Abdelghafour, F.
|
|
|
8 |
2 |
p. 505-509
|
artikel
|
| 106 |
Precision Agriculture in China: Exploring Awareness, Understanding, Attitudes and Perceptions of Agricultural Experts and End-Users in China
|
Kendall, H.
|
|
|
8 |
2 |
p. 703-707
|
artikel
|
| 107 |
Precision Agriculture in Latvia in the Last 20 Years
|
Gailums, A.
|
|
|
8 |
2 |
p. 698-702
|
artikel
|
| 108 |
Precision N management for field vegetables in organic soils: a short review
|
Longchamps, L.
|
|
|
8 |
2 |
p. 308-311
|
artikel
|
| 109 |
Profitability of controlled traffic in grass silage production – economic modelling and machinery systems
|
Alvemar, H.
|
|
|
8 |
2 |
p. 749-753
|
artikel
|
| 110 |
Prototype Environment for integrating and sharing Farm Things and associated data
|
Nikander, J.
|
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8 |
2 |
p. 645-649
|
artikel
|
| 111 |
Proximal fluorescence sensing for in-season diagnosis of rice nitrogen status
|
Huang, S.
|
|
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8 |
2 |
p. 343-348
|
artikel
|
| 112 |
Proximal sensing for monitoring the productivity of a permanent Mediterranean pasture: influence of rainfall patterns
|
Serrano, J.
|
|
|
8 |
2 |
p. 796-801
|
artikel
|
| 113 |
Proximal sensing of soil biological activity for precision agriculture
|
Adamchuk, V.
|
|
|
8 |
2 |
p. 406-411
|
artikel
|
| 114 |
Relating active optical sensor measurements to barley yield
|
Hackett, R.
|
|
|
8 |
2 |
p. 162-166
|
artikel
|
| 115 |
Retrieving wheat Biomass by using a hyper-spectral device on UAV
|
Xia, L.
|
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8 |
2 |
p. 833-836
|
artikel
|
| 116 |
Robotic real-time 3D object reconstruction using multiple laser range finders
|
Lepej, P.
|
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8 |
2 |
p. 183-188
|
artikel
|
| 117 |
RoboWeedSupport - Detection of weed locations in leaf occluded cereal crops using a fully convolutional neural network
|
Dyrmann, M.
|
|
|
8 |
2 |
p. 842-847
|
artikel
|
| 118 |
RoboWeedSupport - Presentation of a cloud based system bridging the gap between in-field weed inspections and decision support systems
|
Rydahl, P.
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2 |
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