| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Acoustic sensors for detecting cow behaviour
|
Shorten, P.R.
|
|
|
3 |
C |
p.
|
artikel
|
| 2 |
A data-driven Kalman filter-PID controller for fibrous capillary irrigation
|
Abioye, Emmanuel Abiodun
|
|
|
3 |
C |
p.
|
artikel
|
| 3 |
A deterministic technique for identifying dicotyledons in images
|
Moura Dantas, Josué Leal
|
|
|
3 |
C |
p.
|
artikel
|
| 4 |
Adoption of autonomous robots in the soft fruit sector: Grower perspectives in the UK
|
Rose, David Christian
|
|
|
3 |
C |
p.
|
artikel
|
| 5 |
An adaptive grain-bulk aeration system for squat silos in winter: Effects on intergranular air properties and grain quality
|
Gao, Guangbiao
|
|
|
3 |
C |
p.
|
artikel
|
| 6 |
A pilot study on the advancement of livestock healthcare bio-capsules and development of customized long-range network in the United Arab Emirates
|
Mohteshamuddin, Khaja
|
|
|
3 |
C |
p.
|
artikel
|
| 7 |
Applications of extended reality (XR) in agriculture, livestock farming, and aquaculture: A review
|
Anastasiou, Evangelos
|
|
|
3 |
C |
p.
|
artikel
|
| 8 |
A preliminary investigation into the automatic detection of diseased sheep organs using hyperspectral imaging sensors
|
Coombs, Cassius E.O.
|
|
|
3 |
C |
p.
|
artikel
|
| 9 |
A Purely Visual Re-ID Approach for Bumblebees (Bombus terrestris)
|
Borlinghaus, Parzival
|
|
|
3 |
C |
p.
|
artikel
|
| 10 |
A review of machine learning techniques for identifying weeds in corn
|
Venkataraju, Akhil
|
|
|
3 |
C |
p.
|
artikel
|
| 11 |
Assessment of the Priestley-Taylor coefficient and a modified potential evapotranspiration model
|
Nikolaou, Georgios
|
|
|
3 |
C |
p.
|
artikel
|
| 12 |
A standalone photovoltaic/battery energy-powered water quality monitoring system based on narrowband internet of things for aquaculture: Design and implementation
|
Jamroen, Chaowanan
|
|
|
3 |
C |
p.
|
artikel
|
| 13 |
A support vector machine and image processing based approach for counting open cotton bolls and estimating lint yield from UAV imagery
|
Bawa, Arun
|
|
|
3 |
C |
p.
|
artikel
|
| 14 |
A survey on using deep learning techniques for plant disease diagnosis and recommendations for development of appropriate tools
|
Ahmad, Aanis
|
|
|
3 |
C |
p.
|
artikel
|
| 15 |
A two-stage deep-learning based segmentation model for crop disease quantification based on corn field imagery
|
Divyanth, L.G.
|
|
|
3 |
C |
p.
|
artikel
|
| 16 |
Building a Sky Shepherd for the future of agriculture
|
Yaxley, Kate J.
|
|
|
3 |
C |
p.
|
artikel
|
| 17 |
Characterization of trichome phenotypes to assess maturation and flower development in Cannabis sativa L. (cannabis) by automatic trichome gland analysis
|
Sutton, D.B.
|
|
|
3 |
C |
p.
|
artikel
|
| 18 |
Combined analysis of satellite and ground data for winter wheat yield forecasting
|
Broms, Camilla
|
|
|
3 |
C |
p.
|
artikel
|
| 19 |
Crop rotation and management tools for every farmer?
|
Schöning, Julius
|
|
|
3 |
C |
p.
|
artikel
|
| 20 |
Data-driven model predictive control for precision irrigation management
|
Bwambale, Erion
|
|
|
3 |
C |
p.
|
artikel
|
| 21 |
Deep learning–based automated measurements of the scrotal circumference of Norwegian Red bulls from 3D images
|
Bremer, Joanna
|
|
|
3 |
C |
p.
|
artikel
|
| 22 |
Design and development of smart cover system for vineyards
|
Karaman, Bilal
|
|
|
3 |
C |
p.
|
artikel
|
| 23 |
Detecting olive grove abandonment with Sentinel-2 and machine learning: The development of a web-based tool for land management
|
Volpi, Iride
|
|
|
3 |
C |
p.
|
artikel
|
| 24 |
Detecting sow vulva size change around estrus using machine vision technology
|
Xu, Ziteng
|
|
|
3 |
C |
p.
|
artikel
|
| 25 |
Detection of fruit maturity stage and yield estimation in wild blueberry using deep learning convolutional neural networks
|
MacEachern, Craig B.
|
|
|
3 |
C |
p.
|
artikel
|
| 26 |
Development and comparison of artificial intelligence models for estimating daily reference evapotranspiration from limited input variables
|
Makwana, Jaydip J.
|
|
|
3 |
C |
p.
|
artikel
|
| 27 |
Development of a method to assess the risk of aflatoxin contamination of corn within counties in southern Georgia, USA using remotely sensed data
|
Kerry, R.
|
|
|
3 |
C |
p.
|
artikel
|
| 28 |
Diagnosis of grape leaf diseases using automatic K-means clustering and machine learning
|
Javidan, Seyed Mohamad
|
|
|
3 |
C |
p.
|
artikel
|
| 29 |
Digital Twins: A novel traceability concept for post-harvest handling
|
Dyck, George
|
|
|
3 |
C |
p.
|
artikel
|
| 30 |
Digital Twins in Agriculture: A State-of-the-art review
|
Purcell, Warren
|
|
|
3 |
C |
p.
|
artikel
|
| 31 |
Do soil and climatic parameters affect yield and quality on table grapes?
|
Anastasiou, Evangelos
|
|
|
3 |
C |
p.
|
artikel
|
| 32 |
DSSApple: A hybrid expert system for the diagnosis of post-harvest diseases of apple
|
Sottocornola, Gabriele
|
|
|
3 |
C |
p.
|
artikel
|
| 33 |
Early weed identification based on deep learning: A review
|
Zhang, Yangkai
|
|
|
3 |
C |
p.
|
artikel
|
| 34 |
Economically optimal farmer supervision of crop robots
|
Maritan, Elias
|
|
|
3 |
C |
p.
|
artikel
|
| 35 |
Effect of varying training epochs of a Faster Region-Based Convolutional Neural Network on the Accuracy of an Automatic Weed Classification Scheme
|
Ajayi, Oluibukun Gbenga
|
|
|
3 |
C |
p.
|
artikel
|
| 36 |
Elevated platforms with integrated weighing beams allow automatic monitoring of usage and activity in broiler chickens
|
Schomburg, Helen
|
|
|
3 |
C |
p.
|
artikel
|
| 37 |
Estimating body weight in conventional growing pigs using a depth camera
|
Franchi, Guilherme A.
|
|
|
3 |
C |
p.
|
artikel
|
| 38 |
Estimation of spinach (Spinacia oleracea) seed yield with 2D UAV data and deep learning
|
Ariza-Sentís, Mar
|
|
|
3 |
C |
p.
|
artikel
|
| 39 |
Evaluating biostimulants via high-throughput field phenotyping: Biophysical traits retrieval through PROSAIL inversion
|
Antonucci, Giulia
|
|
|
3 |
C |
p.
|
artikel
|
| 40 |
Evaluation of artificial neural network performance for classification of potato plants infected with potato virus Y using spectral data on multiple varieties and genotypes
|
Griffel, L.M.
|
|
|
3 |
C |
p.
|
artikel
|
| 41 |
Experimental comparison of locomotion system performance of ground mobile robots in agricultural drawbar works
|
Shafaei, S.M.
|
|
|
3 |
C |
p.
|
artikel
|
| 42 |
Exploring information uses for the successful implementation of farm management information system: A case study on a paddy rice farm enterprise in Japan
|
Kim, Dongyool
|
|
|
3 |
C |
p.
|
artikel
|
| 43 |
Field evaluation of a deep learning-based smart variable-rate sprayer for targeted application of agrochemicals
|
Farooque, Aitazaz A.
|
|
|
3 |
C |
p.
|
artikel
|
| 44 |
Fruit maturity grading framework for small dataset using single image multi-object sampling and Mask R-CNN
|
Siricharoen, Punnarai
|
|
|
3 |
C |
p.
|
artikel
|
| 45 |
HOB-CNN: Hallucination of occluded branches with a convolutional neural network for 2D fruit trees
|
Chen, Zijue
|
|
|
3 |
C |
p.
|
artikel
|
| 46 |
Hot foam: Evaluation of a new, non-chemical weed control option in perennial crops
|
Antonopoulos, Nikolaos
|
|
|
3 |
C |
p.
|
artikel
|
| 47 |
Identification of symptoms related to potato Verticillium wilt from UAV-based multispectral imagery using an ensemble of gradient boosting machines
|
Lizarazo, Ivan
|
|
|
3 |
C |
p.
|
artikel
|
| 48 |
Identifying hair fescue in wild blueberry fields using drone images for precise application of granular herbicide
|
Bilodeau, Mathieu F.
|
|
|
3 |
C |
p.
|
artikel
|
| 49 |
Image classification of sugarcane aphid density using deep convolutional neural networks
|
Grijalva, Ivan
|
|
|
3 |
C |
p.
|
artikel
|
| 50 |
Indwelling robots for ruminant health monitoring: A review of elements
|
Kaur, Upinder
|
|
|
3 |
C |
p.
|
artikel
|
| 51 |
Intelligent insecticide and fertilizer recommendation system based on TPF-CNN for smart farming
|
Thorat, Tanmay
|
|
|
3 |
C |
p.
|
artikel
|
| 52 |
Machine learning approach for the classification of wheat grains
|
Agarwal, Diwakar
|
|
|
3 |
C |
p.
|
artikel
|
| 53 |
Monitoring and classification of cattle behavior: a survey
|
da Silva Santos, Anderson
|
|
|
3 |
C |
p.
|
artikel
|
| 54 |
Monitoring of cage-cultured sea cucumbers using an underwater time-lapse camera and deep learning-based image analysis
|
Yoshida, Takero
|
|
|
3 |
C |
p.
|
artikel
|
| 55 |
Multiclass insect counting through deep learning-based density maps estimation
|
Bereciartua-Pérez, Arantza
|
|
|
3 |
C |
p.
|
artikel
|
| 56 |
Open-source electronics for plant phenotyping and irrigation in controlled environment
|
Kim, James Y.
|
|
|
3 |
C |
p.
|
artikel
|
| 57 |
Optical and portable equipment for characterizing soil roughness
|
Barreto, Bianca Batista
|
|
|
3 |
C |
p.
|
artikel
|
| 58 |
Optimal estimation of broiler movement for commercial tracking
|
Brunet, Henry
|
|
|
3 |
C |
p.
|
artikel
|
| 59 |
Optimized modelling of countrywide soil organic carbon levels via an interpretable decision tree
|
Kebonye, Ndiye M.
|
|
|
3 |
C |
p.
|
artikel
|
| 60 |
Performance evaluation of deep learning object detectors for weed detection for cotton
|
Rahman, Abdur
|
|
|
3 |
C |
p.
|
artikel
|
| 61 |
Plant water stress monitoring and control system
|
Simbeye, Daudi S.
|
|
|
3 |
C |
p.
|
artikel
|
| 62 |
Prediction of morpho-physiological traits in sugarcane using aerial imagery and machine learning
|
Poudyal, Chiranjibi
|
|
|
3 |
C |
p.
|
artikel
|
| 63 |
Present status and challenges of fodder production in controlled environments: A review
|
Ahamed, Md Shamim
|
|
|
3 |
C |
p.
|
artikel
|
| 64 |
Rapid classification of tef [Eragrostis tef (Zucc.) Trotter] grain varieties using digital images in combination with multivariate technique
|
Asefa, Bezuayehu Gutema
|
|
|
3 |
C |
p.
|
artikel
|
| 65 |
Research on autonomous driving technology for a robot vehicle in mountainous farmland using the Quasi-Zenith Satellite System
|
Yamasaki, Yoshitomo
|
|
|
3 |
C |
p.
|
artikel
|
| 66 |
Semi-supervised machine learning analysis of crop color for autonomous irrigation
|
Tschand, Arya
|
|
|
3 |
C |
p.
|
artikel
|
| 67 |
Sensor-based detection of a Haemonchus contortus (Barber's pole worm) infection in sheep
|
Fogarty, Eloise S.
|
|
|
3 |
C |
p.
|
artikel
|
| 68 |
Smart farming and artificial intelligence in East Africa: Addressing indigeneity, plants, and gender
|
Foster, Laura
|
|
|
3 |
C |
p.
|
artikel
|
| 69 |
Smartphone image-based framework for quick, non-invasive measurement of spray characteristics
|
Carreira, Vinicius dos Santos
|
|
|
3 |
C |
p.
|
artikel
|
| 70 |
Smart precision agriculture but resource constrained farmers: Is service provision a potential solution? Farmer's willingness to pay for laser-land leveling services in Nepal
|
Paudel, Gokul P.
|
|
|
3 |
C |
p.
|
artikel
|
| 71 |
Spatial modeling via geostatistics and infrared thermography of the skin temperature of dairy cows in a compost barn system in the Brazilian semiarid region
|
Silva, Marcos Vinícius da
|
|
|
3 |
C |
p.
|
artikel
|
| 72 |
Sugarcane yield forecast using weather based discriminant analysis
|
Priya, S R Krishan
|
|
|
3 |
C |
p.
|
artikel
|
| 73 |
Time-series analysis of Sentinel-2 satellite images for sunflower yield estimation
|
Amankulova, Khilola
|
|
|
3 |
C |
p.
|
artikel
|
| 74 |
Tree-level citrus yield prediction utilizing ground and aerial machine vision and machine learning
|
Vijayakumar, Vinay
|
|
|
3 |
C |
p.
|
artikel
|
| 75 |
Trends in Remote Sensing Technologies in Olive Cultivation
|
Anastasiou, Evangelos
|
|
|
3 |
C |
p.
|
artikel
|
| 76 |
Use of RGB images from unmanned aerial vehicle to estimate lettuce growth in root-knot nematode infested soil
|
Cavalcanti, Vytória Piscitelli
|
|
|
3 |
C |
p.
|
artikel
|
| 77 |
Why the low adoption of robotics in the farms? Challenges for the establishment of commercial agricultural robots
|
Gil, Gustavo
|
|
|
3 |
C |
p.
|
artikel
|
Tijdschrift beschrijving