| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A comparison of approaches for citrus canopy profile generation using ultrasonic and Leddar® sensors
|
Gangadharan, Sanjeev
|
|
2019
|
156 |
C |
p. 71-83
|
artikel
|
| 2 |
A contextualized approach for segmentation of foliage in different crop species
|
Rico-Fernández, M.P.
|
|
2019
|
156 |
C |
p. 378-386
|
artikel
|
| 3 |
Agricultural technology assessment for smallholder farms: An analysis using a farm simulation model (FARMSIM)
|
Bizimana, Jean-Claude
|
|
2019
|
156 |
C |
p. 406-425
|
artikel
|
| 4 |
A mechanical-dielectric-high frequency acoustic sensor fusion for soil physical characterization
|
Naderi-Boldaji, Mojtaba
|
|
2019
|
156 |
C |
p. 10-23
|
artikel
|
| 5 |
An analysis of energy efficiency in Wireless Sensor Networks (WSNs) applied in smart agriculture
|
Banđur, Đoko
|
|
2019
|
156 |
C |
p. 500-507
|
artikel
|
| 6 |
An early warning model for vegetable pests based on multidimensional data
|
Cai, Jiahao
|
|
2019
|
156 |
C |
p. 217-226
|
artikel
|
| 7 |
A new digital electromechanical system for measurement of soil bulk density
|
Al-Shammary, Ahmed Abed Gatea
|
|
2019
|
156 |
C |
p. 227-242
|
artikel
|
| 8 |
A new method to analyse the soil movement during tillage operations using a novel digital image processing algorithm
|
Li, Peilin
|
|
2019
|
156 |
C |
p. 43-50
|
artikel
|
| 9 |
An innovative tomographic technique integrated with acoustic-laser approach for detecting defects in tree trunk
|
Qiu, Qiwen
|
|
2019
|
156 |
C |
p. 129-137
|
artikel
|
| 10 |
Application of infrared thermography to assess the effect of different types of environmental enrichment on the ocular, auricular pavilion and nose area temperatures of weaned piglets
|
Yáñez-Pizaña, Ariadna
|
|
2019
|
156 |
C |
p. 33-42
|
artikel
|
| 11 |
A remote sensing technique for detecting laurel wilt disease in avocado in presence of other biotic and abiotic stresses
|
Abdulridha, Jaafar
|
|
2019
|
156 |
C |
p. 549-557
|
artikel
|
| 12 |
A study on visual features of leaves in plant identification using artificial intelligence techniques
|
Yigit, Enes
|
|
2019
|
156 |
C |
p. 369-377
|
artikel
|
| 13 |
Automated calculation of heart girth measurement in pigs using body surface point clouds
|
Wang, Ke
|
|
2019
|
156 |
C |
p. 565-573
|
artikel
|
| 14 |
Automated leaf disease detection in different crop species through image features analysis and One Class Classifiers
|
Pantazi, X.E.
|
|
2019
|
156 |
C |
p. 96-104
|
artikel
|
| 15 |
Automated phenotyping of epicuticular waxes of grapevine berries using light separation and convolutional neural networks
|
Barré, Pierre
|
|
2019
|
156 |
C |
p. 263-274
|
artikel
|
| 16 |
Automatic scoring of lateral and sternal lying posture in grouped pigs using image processing and Support Vector Machine
|
Nasirahmadi, Abozar
|
|
2019
|
156 |
C |
p. 475-481
|
artikel
|
| 17 |
Behavior-induced health condition monitoring of caged chickens using binocular vision
|
Xiao, Linfang
|
|
2019
|
156 |
C |
p. 254-262
|
artikel
|
| 18 |
C5.0: Advanced Decision Tree (ADT) classification model for agricultural data analysis on cloud
|
Rajeswari, S.
|
|
2019
|
156 |
C |
p. 530-539
|
artikel
|
| 19 |
CarDen: A software for fast measurement of wood density on increment cores by CT scanning
|
Jacquin, Philippe
|
|
2019
|
156 |
C |
p. 606-617
|
artikel
|
| 20 |
Crop season planning tool: Adjusting sowing decisions to reduce the risk of extreme weather events
|
Perondi, Daniel
|
|
2019
|
156 |
C |
p. 62-70
|
artikel
|
| 21 |
Current and future applications of statistical machine learning algorithms for agricultural machine vision systems
|
Rehman, Tanzeel U.
|
|
2019
|
156 |
C |
p. 585-605
|
artikel
|
| 22 |
DEM and soil bin study on a biomimetic disc furrow opener
|
Wang, Yueming
|
|
2019
|
156 |
C |
p. 209-216
|
artikel
|
| 23 |
Design and experiment of vibratory harvesting mechanism for Chinese hickory nuts based on orthogonal eccentric masses
|
Du, Xiaoqiang
|
|
2019
|
156 |
C |
p. 178-186
|
artikel
|
| 24 |
Detection of peanut leaf spots disease using canopy hyperspectral reflectance
|
Chen, Tingting
|
|
2019
|
156 |
C |
p. 677-683
|
artikel
|
| 25 |
Determination of water content and characteristic analysis in substrate root zone by electrical impedance spectroscopy
|
Wang, Yong-Qian
|
|
2019
|
156 |
C |
p. 243-253
|
artikel
|
| 26 |
Development of a discrete infrastructure optimization model for economic assessment on dairy farms (DIOMOND)
|
Breen, M.
|
|
2019
|
156 |
C |
p. 508-522
|
artikel
|
| 27 |
Disparity map computation of tree using stereo vision system and effects of canopy shapes and foliage density
|
Jafari Malekabadi, Ayoub
|
|
2019
|
156 |
C |
p. 627-644
|
artikel
|
| 28 |
Editorial Board
|
|
|
2019
|
156 |
C |
p. ii
|
artikel
|
| 29 |
Estimating soybean leaf defoliation using convolutional neural networks and synthetic images
|
da Silva, Lucas Abreu
|
|
2019
|
156 |
C |
p. 360-368
|
artikel
|
| 30 |
Estimation of nitrogen and carbon content from soybean leaf reflectance spectra using wavelet analysis under shade stress
|
Chen, Junxu
|
|
2019
|
156 |
C |
p. 482-489
|
artikel
|
| 31 |
Evaluation of three classification models to predict risk class of cattle cohorts developing bovine respiratory disease within the first 14 days on feed using on-arrival and/or pre-arrival information
|
Amrine, David E.
|
|
2019
|
156 |
C |
p. 439-446
|
artikel
|
| 32 |
EVAPO: A smartphone application to estimate potential evapotranspiration using cloud gridded meteorological data from NASA-POWER system
|
Maldonado Júnior, Walter
|
|
2019
|
156 |
C |
p. 187-192
|
artikel
|
| 33 |
Factorial kriging analysis leverages soil physical properties and exhaustive data to predict distinguished zones of hydraulic properties
|
Bevington, James
|
|
2019
|
156 |
C |
p. 426-438
|
artikel
|
| 34 |
Forest harvest and sawmills: An integrated tactical planning model
|
Fuentealba, Sebastián
|
|
2019
|
156 |
C |
p. 275-281
|
artikel
|
| 35 |
Geographically-explicit, dynamic partial equilibrium model of regional primary value chains – Mathematical formulation and application to forestry in the Northland region of New Zealand
|
Monge, Juan J.
|
|
2019
|
156 |
C |
p. 145-158
|
artikel
|
| 36 |
Identification of variables affecting production outcome in prawn ponds: A machine learning approach
|
Rahman, Ashfaqur
|
|
2019
|
156 |
C |
p. 618-626
|
artikel
|
| 37 |
Image-based tracking of ripening in wheat cultivar mixtures: A quantifying approach parallel to the conventional phenology
|
Haghshenas, Abbas
|
|
2019
|
156 |
C |
p. 318-333
|
artikel
|
| 38 |
In-field high throughput grapevine phenotyping with a consumer-grade depth camera
|
Milella, Annalisa
|
|
2019
|
156 |
C |
p. 293-306
|
artikel
|
| 39 |
IoT and agriculture data analysis for smart farm
|
Muangprathub, Jirapond
|
|
2019
|
156 |
C |
p. 467-474
|
artikel
|
| 40 |
Knowledge discovery and unsupervised detection of within-field yield defective observations
|
Leroux, Corentin
|
|
2019
|
156 |
C |
p. 645-659
|
artikel
|
| 41 |
Maintaining the predictive abilities of egg freshness models on new variety based on VIS-NIR spectroscopy technique
|
Dong, Xiaoguang
|
|
2019
|
156 |
C |
p. 669-676
|
artikel
|
| 42 |
Methods for LiDAR-based estimation of extensive grassland biomass
|
Schulze-Brüninghoff, Damian
|
|
2019
|
156 |
C |
p. 693-699
|
artikel
|
| 43 |
Mobile measuring system based on LabVIEW for pig body components estimation in a large-scale farm
|
Shi, Chen
|
|
2019
|
156 |
C |
p. 399-405
|
artikel
|
| 44 |
Modeling cost and energy demand in agricultural machinery fleets for soybean and maize cultivated using a no-tillage system
|
Tieppo, Rafael Cesar
|
|
2019
|
156 |
C |
p. 282-292
|
artikel
|
| 45 |
Modelling fuzzy combination of remote sensing vegetation index for durum wheat crop analysis
|
Semeraro, Teodoro
|
|
2019
|
156 |
C |
p. 684-692
|
artikel
|
| 46 |
Modelling long-term soil salinity dynamics using SaltMod in Hetao Irrigation District, China
|
Chang, Xiaomin
|
|
2019
|
156 |
C |
p. 447-458
|
artikel
|
| 47 |
Multi-sensor based attitude prediction for agricultural vehicles
|
Zhu, Qingyuan
|
|
2019
|
156 |
C |
p. 24-32
|
artikel
|
| 48 |
Non-destructive and contactless quality evaluation of table grapes by a computer vision system
|
Cavallo, Dario Pietro
|
|
2019
|
156 |
C |
p. 558-564
|
artikel
|
| 49 |
Optimization of convective drying by response surface methodology
|
Majdi, H.
|
|
2019
|
156 |
C |
p. 574-584
|
artikel
|
| 50 |
Optimized angles of the swing hyperspectral imaging system for single corn plant
|
Zhang, Libo
|
|
2019
|
156 |
C |
p. 349-359
|
artikel
|
| 51 |
Precision apiculture: Development of a wireless sensor network for honeybee hives
|
Henry, Evan
|
|
2019
|
156 |
C |
p. 138-144
|
artikel
|
| 52 |
Prediction of sheep carcass traits from early-life records using machine learning
|
Shahinfar, Saleh
|
|
2019
|
156 |
C |
p. 159-177
|
artikel
|
| 53 |
Raw sugarcane classification in the presence of small solid impurity amounts using a simple and effective digital imaging system
|
Guedes, Wesley Nascimento
|
|
2019
|
156 |
C |
p. 307-311
|
artikel
|
| 54 |
Recognition of coffee roasting degree using a computer vision system
|
Leme, Dimas Samid
|
|
2019
|
156 |
C |
p. 312-317
|
artikel
|
| 55 |
Reducing the influence of solar illumination angle when using active optical sensor derived NDVIAOS to infer fAPAR for spring wheat (Triticum aestivum L.)
|
Rahman, M.M.
|
|
2019
|
156 |
C |
p. 1-9
|
artikel
|
| 56 |
Reference evapotranspiration estimation and modeling of the Punjab Northern India using deep learning
|
Saggi, Mandeep Kaur
|
|
2019
|
156 |
C |
p. 387-398
|
artikel
|
| 57 |
Routing algorithm selection for field coverage planning based on field shape and fleet size
|
Seyyedhasani, Hasan
|
|
2019
|
156 |
C |
p. 523-529
|
artikel
|
| 58 |
RRT-based path planning for an intelligent litchi-picking manipulator
|
Cao, Xiaoman
|
|
2019
|
156 |
C |
p. 105-118
|
artikel
|
| 59 |
Spraying strategy optimization with genetic algorithm for autonomous air-assisted sprayer in Chinese heliogreenhouses
|
Li, Yang
|
|
2019
|
156 |
C |
p. 84-95
|
artikel
|
| 60 |
Tensor-based classification and segmentation of three-dimensional point clouds for organ-level plant phenotyping and growth analysis
|
Elnashef, Bashar
|
|
2019
|
156 |
C |
p. 51-61
|
artikel
|
| 61 |
The adoption stages (Evaluation, Adoption, and Routinisation) of ERP systems with business analytics functionality in the context of farms
|
Junior, Caetano Haberli
|
|
2019
|
156 |
C |
p. 334-348
|
artikel
|
| 62 |
The role of interoperable data standards in precision livestock farming in extensive livestock systems: A review
|
Bahlo, Christiane
|
|
2019
|
156 |
C |
p. 459-466
|
artikel
|
| 63 |
Three-dimensional simulation of light spectrum and intensity within an LED growth chamber
|
Hitz, Tina
|
|
2019
|
156 |
C |
p. 540-548
|
artikel
|
| 64 |
Use of radio frequency identification (RFID) technology to record grazing beef cattle water point use
|
Williams, Lauren R.
|
|
2019
|
156 |
C |
p. 193-202
|
artikel
|
| 65 |
Using Deep Convolutional Neural Network for oak acorn viability recognition based on color images of their sections
|
Przybyło, Jaromir
|
|
2019
|
156 |
C |
p. 490-499
|
artikel
|
| 66 |
Validation testing of an ion-specific sensing and control system for precision hydroponic macronutrient management
|
Jung, Dae-Hyun
|
|
2019
|
156 |
C |
p. 660-668
|
artikel
|
| 67 |
Wheat leaf rust detection at canopy scale under different LAI levels using machine learning techniques
|
Azadbakht, Mohsen
|
|
2019
|
156 |
C |
p. 119-128
|
artikel
|
| 68 |
Wireless power supply technology for uniform magnetic field of intelligent greenhouse sensors
|
Xu, Jin
|
|
2019
|
156 |
C |
p. 203-208
|
artikel
|
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