nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
Adapting an industrial automation protocol to remote monitoring of mobile agricultural machinery: a combine harvester with IoT
|
Oksanen, Timo |
|
2016 |
49 |
16 |
p. 127-131 5 p. |
artikel |
2 |
Adaptive Visual Servo Control of Robotic Harvesting Systems
|
Mehta, S.S. |
|
2016 |
49 |
16 |
p. 287-292 6 p. |
artikel |
3 |
A Dynamic Instability Detection and Prediction System for High Clearance Tractor
|
Sun, Dong |
|
2016 |
49 |
16 |
p. 50-54 5 p. |
artikel |
4 |
A Farm Management Information System Using Future Internet Technologies
|
Paraforos, Dimitris S. |
|
2016 |
49 |
16 |
p. 324-329 6 p. |
artikel |
5 |
A Framework for Semi-Automated Generation of a Virtual Combine Harvester
|
Hermann, D. |
|
2016 |
49 |
16 |
p. 55-60 6 p. |
artikel |
6 |
Air Suspension-based Catching Mechanism for Mechanical Harvesting of Apples
|
Ma, Shaochun |
|
2016 |
49 |
16 |
p. 353-358 6 p. |
artikel |
7 |
A Leaf Monitoring System for Continuous Measurement of Plant Water Status to Assist in Precision Irrigation in Grape and Almond crops
|
Rojo, Francisco |
|
2016 |
49 |
16 |
p. 209-215 7 p. |
artikel |
8 |
Analysis and Simulation of a 6R Robot in Virtual Reality
|
Wen. Juan, Li |
|
2016 |
49 |
16 |
p. 426-430 5 p. |
artikel |
9 |
An Analysis of Automated Guided Vehicle Standards to Inform the Development of Mobile Orchard Robots
|
Bell, Jamie |
|
2016 |
49 |
16 |
p. 475-480 6 p. |
artikel |
10 |
A new recognition of crop row based on its structural parameter model
|
Zhao, Shuailing |
|
2016 |
49 |
16 |
p. 431-438 8 p. |
artikel |
11 |
Application of Integrated Control Strategy and Bluetooth for Irrigating Romaine Lettuce in Greenhouse
|
Hong, Gu-Zhah |
|
2016 |
49 |
16 |
p. 381-386 6 p. |
artikel |
12 |
A Robust Adaptive Controller for a Seed Refilling System on a Moving Platform * * This work was supported by National Institute of Food and Agriculture, U.S. Department of Agriculture, grant number 2014-67021-22109.
|
Li, Yang |
|
2016 |
49 |
16 |
p. 341-346 6 p. |
artikel |
13 |
A Study of Fruit Reachability in Orchard Trees by Linear-Only Motion
|
Vougioukas, Stavros G. |
|
2016 |
49 |
16 |
p. 277-280 4 p. |
artikel |
14 |
A Turning Model of Agricultural Robot Based on Acceleration Sensor
|
Zhao, Shuailing |
|
2016 |
49 |
16 |
p. 445-450 6 p. |
artikel |
15 |
Automated Assessment and Mapping of Grape Quality through Image-based Color Analysis
|
Pothen, Zania |
|
2016 |
49 |
16 |
p. 72-78 7 p. |
artikel |
16 |
Automated Detection of Mycosphaerella Melonis Infected Cucumber Fruits
|
PhD, Danijela Vukadinovic |
|
2016 |
49 |
16 |
p. 105-109 5 p. |
artikel |
17 |
Automated Measurement of Berry Size in Images * * This work is supported in part by the National Grape and Wine Initiative and the US Department of Agriculture under grant number 20126702119958.
|
Mirbod, Omeed |
|
2016 |
49 |
16 |
p. 79-84 6 p. |
artikel |
18 |
Automated Plant Viability System for Early Detection of Plant Disease
|
Navaei, Milad |
|
2016 |
49 |
16 |
p. 100-104 5 p. |
artikel |
19 |
Autonomous Leaf Picking Using Deep Learning and Visual-Servoing
|
Ahlin, Konrad |
|
2016 |
49 |
16 |
p. 177-183 7 p. |
artikel |
20 |
Bruise Responses of Apple-to-Apple Impact
|
Fu, Han |
|
2016 |
49 |
16 |
p. 347-352 6 p. |
artikel |
21 |
Classifying Agricultural Terrain for Machinery Traversability Purposes * * This work was supported by the Chilean National Commission for Scientific and Technological Research under grant CONICYT-PCHA/Doctorado Nacional/2015-21150694, FONDECYT Grant 1140575, FB0008, DGIIP-UTFSM Chile and University of Lleida, Spain.
|
Yandun, Francisco J. |
|
2016 |
49 |
16 |
p. 457-462 6 p. |
artikel |
22 |
Cloud-based Decision Support and Automation for Precision Agriculture in Orchards
|
Tan, Li |
|
2016 |
49 |
16 |
p. 330-335 6 p. |
artikel |
23 |
Complexity of Chlorophyll Fluorescence Dynamic Response as an Indicator of Excessive Light Intensity * * This work was funded by the Mistra Innovation research program, within the Swedish Foundation for Strategic Environmental Research (Mistra).
|
Lindqvist, Johan |
|
2016 |
49 |
16 |
p. 392-397 6 p. |
artikel |
24 |
Contents
|
|
|
2016 |
49 |
16 |
p. i-vi nvt p. |
artikel |
25 |
Design and Evaluation of a Levelling System for a Weeding Robot
|
Chen, Lin |
|
2016 |
49 |
16 |
p. 299-304 6 p. |
artikel |
26 |
Design and Simulation of a Handling Robot for Bagged Agricultural Materials
|
Han, Li |
|
2016 |
49 |
16 |
p. 171-176 6 p. |
artikel |
27 |
Design of a Task-Based Modular Re-Configurable Agricultural Robot
|
Levin, Mark |
|
2016 |
49 |
16 |
p. 184-189 6 p. |
artikel |
28 |
Design of End-effector for Tomato Robotic Harvesting
|
Wang, Guohua |
|
2016 |
49 |
16 |
p. 190-193 4 p. |
artikel |
29 |
Detection of Honey Adulteration using Hyperspectral Imaging
|
Shafiee, Sahameh |
|
2016 |
49 |
16 |
p. 311-314 4 p. |
artikel |
30 |
Determining the Dominant Environmental Parameters for Greenhouse Tomato Seedling Growth Modeling Using Canonical Correlation Analysis
|
Qiu, Q. |
|
2016 |
49 |
16 |
p. 387-391 5 p. |
artikel |
31 |
Development of a Crop Growth Detecting System
|
Liu, Haojie |
|
2016 |
49 |
16 |
p. 138-142 5 p. |
artikel |
32 |
Development of a 5DOF robotic arm (RAVebots-1) applied to heavy products harvesting
|
Roshanianfard, Ali |
|
2016 |
49 |
16 |
p. 155-160 6 p. |
artikel |
33 |
Development of a Mobile Robotic Phenotyping System for Growth Chamber-based Studies of Genotype x Environment Interactions
|
Shah, D. |
|
2016 |
49 |
16 |
p. 248-253 6 p. |
artikel |
34 |
3D Robotic System Development for High-throughput Crop Phenotyping
|
Zhang, Chongyuan |
|
2016 |
49 |
16 |
p. 242-247 6 p. |
artikel |
35 |
Dual-arm Robot Design and Testing for Harvesting Tomato in Greenhouse
|
Zhao, Yuanshen |
|
2016 |
49 |
16 |
p. 161-165 5 p. |
artikel |
36 |
Effect of Fruit Location on Apple Detachment with Mechanical Shaking
|
He, Long |
|
2016 |
49 |
16 |
p. 293-298 6 p. |
artikel |
37 |
Effects of Operating Parameters for Dynamic PWM Variable Spray System on Spray Distribution Uniformity
|
Jiang, Huanyu |
|
2016 |
49 |
16 |
p. 216-220 5 p. |
artikel |
38 |
Electric Tractor Motor Drive Control Based on FPGA
|
Chen, Yanni |
|
2016 |
49 |
16 |
p. 271-276 6 p. |
artikel |
39 |
Electromechanical steering of an articulated vehicle
|
Matikainen, Ville |
|
2016 |
49 |
16 |
p. 45-49 5 p. |
artikel |
40 |
Estimating Triticale Dry Matter Yield in Parcel Plot Trials From Aerial and Ground Based Spectral Measurements
|
Noack, P.O. |
|
2016 |
49 |
16 |
p. 404-408 5 p. |
artikel |
41 |
Evaluation of a Spray Scheduling System * * Funded by MBIE Multipurpose Orchard Robotics contract UOAX1414.
|
Cashbaugh, Jasmine |
|
2016 |
49 |
16 |
p. 226-230 5 p. |
artikel |
42 |
Evaluation of ground, proximal and aerial remote sensing technologies for crop stress monitoring
|
Zhou, Jianfeng |
|
2016 |
49 |
16 |
p. 22-26 5 p. |
artikel |
43 |
Evaluation of Microsoft Kinect Sensor for Plant Health Monitoring
|
Nasir, Ahmad Kamal |
|
2016 |
49 |
16 |
p. 221-225 5 p. |
artikel |
44 |
Extraction of REPs from leaves reflectance spectrum for estimation of chlorophyll content
|
Yongjun, Ding |
|
2016 |
49 |
16 |
p. 205-208 4 p. |
artikel |
45 |
Feature-based visual tracking for agricultural implements
|
Stanhope, Trevor P. |
|
2016 |
49 |
16 |
p. 359-364 6 p. |
artikel |
46 |
Field-based Robotic Phenotyping for Sorghum Biomass Yield Component Traits Characterization Using Stereo Vision
|
Bao, Yin |
|
2016 |
49 |
16 |
p. 265-270 6 p. |
artikel |
47 |
Field Phenotyping Robot Design and Validation for the Crop Breeding
|
Zhang, Jingwei |
|
2016 |
49 |
16 |
p. 281-286 6 p. |
artikel |
48 |
Fluorescence spectral study in grapes (Vitis Vinifera L.) Benitaka variety to different solid soluble values
|
Tinini, Rodolpho C.R. |
|
2016 |
49 |
16 |
p. 315-319 5 p. |
artikel |
49 |
Fuzzy Modeling Vapor Pressure Deficit to Monitoring Microclimate in Greenhouses * * This work was supported in part by the CONACYT-México, by grant program: sabbatical stay abroad I0010-2014-02, under grant No. 246344.
|
Ramos-Fernández, Julio César |
|
2016 |
49 |
16 |
p. 371-374 4 p. |
artikel |
50 |
Identification of Citrus Huanglongbing Disease at the Pre-Symptomatic Stage Using Polarized Imaging Technique
|
Pourreza, Alireza |
|
2016 |
49 |
16 |
p. 110-115 6 p. |
artikel |
51 |
Identification of weeds in sugarcane fields through images taken by UAV and Random Forest classifier
|
Yano, Inacio H. |
|
2016 |
49 |
16 |
p. 415-420 6 p. |
artikel |
52 |
Implement Guidance model for ISO 11783 standard
|
Oksanen, Timo |
|
2016 |
49 |
16 |
p. 33-38 6 p. |
artikel |
53 |
Inter-row Robot Navigation using 1D Ranging Sensors
|
Troyer, Tyler A. |
|
2016 |
49 |
16 |
p. 463-468 6 p. |
artikel |
54 |
Machine vision for a selective broccoli harvesting robot
|
Blok, Pieter M. |
|
2016 |
49 |
16 |
p. 66-71 6 p. |
artikel |
55 |
Measurement of Rice Tillers Based on Magnetic Resonance Imaging
|
Zhifeng, Huang |
|
2016 |
49 |
16 |
p. 254-258 5 p. |
artikel |
56 |
Measuring and evaluating anthocyanin in lettuce leaf based on color information
|
Yang, Xiao |
|
2016 |
49 |
16 |
p. 96-99 4 p. |
artikel |
57 |
Mechanism for Bundling and Tying of Red Raspberry Primocanes
|
Shrestha, Aadit |
|
2016 |
49 |
16 |
p. 166-170 5 p. |
artikel |
58 |
Method of Measuring the Spectral Reflectance of Crop Canopy Based on Three-Dimensional Structural Analysis
|
Sun, Guoxiang |
|
2016 |
49 |
16 |
p. 194-198 5 p. |
artikel |
59 |
More Reliable Crop Water Stress Quantification Using Small Unmanned Aerial Systems (sUAS) * * This work is supported in part by UC ANR Competitive Grant Award No. 13-2628 (2014-2019) entitled Evaluating and extending the use of small, multi-rotor unmanned aerial vehicles (UAVs) as a crop monitoring tool.
|
Zhao, Tiebiao |
|
2016 |
49 |
16 |
p. 409-414 6 p. |
artikel |
60 |
Multi-camera Fruit Localization in Robotic Harvesting
|
Mehta, S.S. |
|
2016 |
49 |
16 |
p. 90-95 6 p. |
artikel |
61 |
Multi-temporal Monitoring of Wheat Growth through Correlation Analysis of Satellite Images, Unmanned Aerial Vehicle Images with Ground Variable
|
Du, Mengmeng |
|
2016 |
49 |
16 |
p. 5-9 5 p. |
artikel |
62 |
NARX Neural Network Modelling of Mushroom Dynamic Vapour Sorption Kinetics
|
Argyropoulos, Dimitrios |
|
2016 |
49 |
16 |
p. 305-310 6 p. |
artikel |
63 |
Non-Productive Vine Canopy Estimation through Proximal and Remote Sensing * * This work was supported by Wine Australia
|
Tang, Julie |
|
2016 |
49 |
16 |
p. 398-403 6 p. |
artikel |
64 |
Optimal Day-to-Night Greenhouse Heat Storage: Square-Wave Weather
|
Seginer, Ido |
|
2016 |
49 |
16 |
p. 375-380 6 p. |
artikel |
65 |
Phenotype-based Robotic Screening Platform for Leafy Plant Breeding
|
Dengyu, Xiao |
|
2016 |
49 |
16 |
p. 237-241 5 p. |
artikel |
66 |
Plant Breeding Evaluation with Rank Entropy-based Decision Tree
|
Zhao, Xiangyu |
|
2016 |
49 |
16 |
p. 336-340 5 p. |
artikel |
67 |
Potential of low altitude multispectral imaging for in-field apple tree nursery inventory mapping
|
Quirós, Juan José |
|
2016 |
49 |
16 |
p. 421-425 5 p. |
artikel |
68 |
Precision Forestry: Trees Counting in Urban Areas Using Visible Imagery based on an Unmanned Aerial Vehicle
|
Hassaan, Omair |
|
2016 |
49 |
16 |
p. 16-21 6 p. |
artikel |
69 |
Preliminary Design of a Robotic System for Catching and Storing Fresh Market Apples
|
Davidson, Joseph R. |
|
2016 |
49 |
16 |
p. 149-154 6 p. |
artikel |
70 |
Presymptomatic Disease Detection and Nanoparticle-Enhanced Electrical Capacitance Tomography
|
Sabo, Daniel |
|
2016 |
49 |
16 |
p. 116-120 5 p. |
artikel |
71 |
Real-time Monitoring System of Agricultural Machinery Operation Information Based on ARM11 and GNSS
|
Xiang, M. |
|
2016 |
49 |
16 |
p. 121-126 6 p. |
artikel |
72 |
Rice Cultivation Support System Equipped with Water-level Sensor System
|
Kawakami, Yuta |
|
2016 |
49 |
16 |
p. 143-148 6 p. |
artikel |
73 |
Robust Model Predictive Control for Path Tracking of a Tracked Vehicle with a Steerable Trailer in the Presence of Slip
|
Wang, Xu |
|
2016 |
49 |
16 |
p. 469-474 6 p. |
artikel |
74 |
Semantic Mapping of Orchards * * This work is supported in part by NRI Award 1525045, RI Large Award 1111638, NSF Award 1317788, USDA Award MIN-98-G02 and the MnDrive initiative.
|
Peng, Cheng |
|
2016 |
49 |
16 |
p. 85-89 5 p. |
artikel |
75 |
Smartphone-Based Visual Measurement and Portable Instrumentation for Crop Seed Phenotyping
|
Zhihong, Ma |
|
2016 |
49 |
16 |
p. 259-264 6 p. |
artikel |
76 |
Spatial Map Generation from Low Cost Ground Vehicle Mounted Monocular Camera
|
Cossell, Stephen |
|
2016 |
49 |
16 |
p. 231-236 6 p. |
artikel |
77 |
Spectrum analyzer development for oxidation diagnosis of Potato semi-finished products
|
Cheng, Meng |
|
2016 |
49 |
16 |
p. 320-323 4 p. |
artikel |
78 |
Stability Analysis for Orchard Wearable Robotic System
|
Wang, Weizu |
|
2016 |
49 |
16 |
p. 61-65 5 p. |
artikel |
79 |
Steering Control Strategies for a Four-Wheel-Independent-Steering Bin Managing Robot
|
Ye, Yunxiang |
|
2016 |
49 |
16 |
p. 39-44 6 p. |
artikel |
80 |
Stitching of hyper-spectral UAV images based on feature bands selection
|
Xia, L. |
|
2016 |
49 |
16 |
p. 1-4 4 p. |
artikel |
81 |
Study on Orchard Vehicle Motion Stability Control System
|
Xin, Wang |
|
2016 |
49 |
16 |
p. 451-456 6 p. |
artikel |
82 |
Target Geolocation for Agricultural Applications via an Octorotor
|
Garcia, Christian A. |
|
2016 |
49 |
16 |
p. 27-32 6 p. |
artikel |
83 |
Techno-commercial feasibility of soil moisture scanner for efficient irrigation scheduling
|
Sakthivelu, K. |
|
2016 |
49 |
16 |
p. 199-204 6 p. |
artikel |
84 |
The tip point feature of pakchoi recognition and virtual plant modelling based on image processing
|
bo, Liu |
|
2016 |
49 |
16 |
p. 439-444 6 p. |
artikel |
85 |
Towards an artificial vision-robotic system for tomato identification
|
García-Luna, F. |
|
2016 |
49 |
16 |
p. 365-370 6 p. |
artikel |
86 |
Towards Quality-aware Control of Perishable Goods in Synchromodal Transport Networks
|
Lin, Xiao |
|
2016 |
49 |
16 |
p. 132-137 6 p. |
artikel |
87 |
Vision-Based UAV Navigation in Orchards * * This work is supported in part by NSF Awards 1111638, 1525045 and the MnDrive initiative. The authors thank Professors Emily Hoover, Cindy Tong and James Luby from the Department of Horticultural Science, University of Minnesota for access to their orchards and useful discussions. We also thank Dr. Krishna Doddapaneni for his help with the experiments.
|
Stefas, Nikolaos |
|
2016 |
49 |
16 |
p. 10-15 6 p. |
artikel |