| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Accurate machine vision identification of GCHD symptom using a self-attention-based CNN model with adaptive fish separation
|
Shen, Xiang
|
|
|
11 |
C |
p.
|
artikel
|
| 2 |
A comprehensive review of deep learning approaches for rice disease detection: Datasets, methodologies, and future directions
|
Ismail, Usman Idris
|
|
|
11 |
C |
p.
|
artikel
|
| 3 |
A comprehensive survey on AI-enabled secure social industrial Internet of Things in the agri-food supply chain
|
Halder, Sajal
|
|
|
11 |
C |
p.
|
artikel
|
| 4 |
A crop model based on dual attention mechanism for large area adaptive yield prediction
|
Xiang, Wei
|
|
|
11 |
C |
p.
|
artikel
|
| 5 |
Adapting an agroecosystem model to account for cover crop management in the Midwest USA
|
Orfanou, Anna
|
|
|
11 |
C |
p.
|
artikel
|
| 6 |
Advancing climate-smart agriculture: Integrating technology, behavioural insights and policy for a sustainable future
|
Gemtou, Marilena
|
|
|
11 |
C |
p.
|
artikel
|
| 7 |
A generalizable model for the facial recognition of sika deer with enhanced cross-domain performance
|
Mu, Ye
|
|
|
11 |
C |
p.
|
artikel
|
| 8 |
AI-Driven Identification of Grapevine Fungal Spores via Microscopic Imaging and Feature Optimization with Cuckoo Search Algorithm
|
Shi, Xin
|
|
|
11 |
C |
p.
|
artikel
|
| 9 |
AI-driven irrigation systems for sustainable water management: A systematic review and meta-analytical insights
|
OĞUZTÜRK, Gülcay ERCAN
|
|
|
11 |
C |
p.
|
artikel
|
| 10 |
AIoT based soil nutrient analysis and recommendation system for crops using machine learning
|
Cheema, Sehrish Munawar
|
|
|
11 |
C |
p.
|
artikel
|
| 11 |
A lightweight and optimized deep learning model for detecting banana bunches and stalks in autonomous harvesting vehicles
|
Nguyen, Duc Tai
|
|
|
11 |
C |
p.
|
artikel
|
| 12 |
A lightweight real-time unified detection model for rice and wheat ears in complex agricultural environments
|
Shen, Xiaojun
|
|
|
11 |
C |
p.
|
artikel
|
| 13 |
A mixed method approach to integrate digitization and sustainability on German farms
|
Brinken, Julius
|
|
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11 |
C |
p.
|
artikel
|
| 14 |
A modified spectral remote sensing index to map plastic greenhouses in fragmented terrains
|
Chen, Shanshan
|
|
|
11 |
C |
p.
|
artikel
|
| 15 |
Analysis and experiment on seed-filling performance of double seed-taking precision dibbler for cotton
|
Mao, Zibin
|
|
|
11 |
C |
p.
|
artikel
|
| 16 |
Analysis and prediction of backfat thickness in gestating sows using machine learning algorithms
|
Peng, Xuewu
|
|
|
11 |
C |
p.
|
artikel
|
| 17 |
A new, low-cost ground-based NDVI sensor for manual and automated crop monitoring
|
Macagga, Reena
|
|
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11 |
C |
p.
|
artikel
|
| 18 |
An innovative UAV-based approach for estimating crop stand counts amidst weed infestation
|
Baath, Gurjinder S.
|
|
|
11 |
C |
p.
|
artikel
|
| 19 |
An LSTM–AE–Bayes embedded gateway for real-time anomaly detection in agricultural wireless sensor networks
|
Shu, Jun
|
|
|
11 |
C |
p.
|
artikel
|
| 20 |
A non-linear dynamic model for agricultural vehicles constructed in digital space
|
Yu, Yue
|
|
|
11 |
C |
p.
|
artikel
|
| 21 |
A novel application with explainable machine learning (SHAP and LIME) to predict soil N, P, and K nutrient content in cabbage cultivation
|
Abekoon, Thilina
|
|
|
11 |
C |
p.
|
artikel
|
| 22 |
Apple phenotyping using deep learning and 3D depth analysis: An experimental study on fruitlet sizing during early development
|
Checola, Giorgio
|
|
|
11 |
C |
p.
|
artikel
|
| 23 |
Application of flow field visualization technology in analysing the influence of nutrient solution flow on hydroponic lettuce growth
|
Baiyin, Bateer
|
|
|
11 |
C |
p.
|
artikel
|
| 24 |
Applications of remote sensing for crop residue cover mapping
|
Yang, Lilian
|
|
|
11 |
C |
p.
|
artikel
|
| 25 |
Applying transfer learning in CNN model architectures for detecting tomato leaf disease with explainable artificial intelligence
|
Mengesha, Alexander Takele
|
|
|
11 |
C |
p.
|
artikel
|
| 26 |
A real-time crop lodging recognition method for combine harvesters based on machine vision and modified DeepLab V3+
|
Yao, Cong
|
|
|
11 |
C |
p.
|
artikel
|
| 27 |
A review of machine learning approaches for predicting lettuce yield in hydroponic systems
|
Sharmin, Sabrina
|
|
|
11 |
C |
p.
|
artikel
|
| 28 |
Artificial intelligence and IoT for water saving in agriculture: A systematic review
|
Colizzi, Lucio
|
|
|
11 |
C |
p.
|
artikel
|
| 29 |
Artificial intelligence applied to precision livestock farming: A tertiary study
|
Distante, Damiano
|
|
|
11 |
C |
p.
|
artikel
|
| 30 |
Assessing the contribution of mango orchards to carbon sequestration using field derived data and satellite remote sensing techniques in Shibganj, Bangladesh
|
Asaduzzaman, Md
|
|
|
11 |
C |
p.
|
artikel
|
| 31 |
A state-of-the-art novel approach to predict potato crop coefficient (Kc) by integrating advanced machine learning tools
|
Cheema, Saad Javed
|
|
|
11 |
C |
p.
|
artikel
|
| 32 |
Automated detection and segmentation of baby kale crowns using grounding DINO and SAM for data-scarce agricultural applications
|
Casas, Gianmarco Goycochea
|
|
|
11 |
C |
p.
|
artikel
|
| 33 |
Automated detection of downy mildew and powdery mildew symptoms for vineyard disease management
|
Ghiani, Luca
|
|
|
11 |
C |
p.
|
artikel
|
| 34 |
Automated peanut defect detection using hyperspectral imaging and deep learning: A real-time approach for smart agriculture
|
Chen, Shih-Yu
|
|
|
11 |
C |
p.
|
artikel
|
| 35 |
Automatic target spraying and field evaluation of unstructured orchard based on millimeter-wave radar
|
Xu, Xing
|
|
|
11 |
C |
p.
|
artikel
|
| 36 |
Automating the consolidation of GNSS logging tracks and machine pass counting in boreal forests
|
Cao, Son
|
|
|
11 |
C |
p.
|
artikel
|
| 37 |
Autonomous regenerative agriculture: Swarm robotics to change farm economics
|
Al-Amin, A.K.M. Abdullah
|
|
|
11 |
C |
p.
|
artikel
|
| 38 |
BFWSD: A lightweight algorithm for banana fusarium wilt severity detection via UAV-Based Large-Scale Monitoring
|
Lin, Shaoming
|
|
|
11 |
C |
p.
|
artikel
|
| 39 |
Bite-o-Mat: a device for the early detection of tail biting in pigs
|
Eisermann, Josefine
|
|
|
11 |
C |
p.
|
artikel
|
| 40 |
Classifying early-stage soybean fungal diseases on hyperspectral images using convolutional neural networks
|
Hsiao, Chieh Fu
|
|
|
11 |
C |
p.
|
artikel
|
| 41 |
Community-based business models for agricultural and forestry data ecosystems: A systematic literature review
|
Ghalandarzadeh, Samin
|
|
|
11 |
C |
p.
|
artikel
|
| 42 |
Comparative analysis of spectral unmixing methods for subpixel weed identification under controlled and field conditions
|
Ronay, Inbal
|
|
|
11 |
C |
p.
|
artikel
|
| 43 |
Comparison of GPS Collars and Solar-Powered GPS Ear Tags for Animal Movement Studies
|
Stewart, Dylan G.
|
|
|
11 |
C |
p.
|
artikel
|
| 44 |
Comparison of sample preparation methods for higher heating values in various sugarcane varieties using near-infrared spectroscopy
|
Phoomwarin, Kantisa
|
|
|
11 |
C |
p.
|
artikel
|
| 45 |
Consistent multi-animal pose estimation in cattle using dynamic Kalman filter based tracking
|
Perneel, Maarten
|
|
|
11 |
C |
p.
|
artikel
|
| 46 |
Crop row identification and plant cluster segmentation for stand count from UAS imagery based on profile and geometry
|
Sunoj, S.
|
|
|
11 |
C |
p.
|
artikel
|
| 47 |
3D behavior phenotyping and multi-object tracking system of mice based on deep learning
|
He, Lei
|
|
|
11 |
C |
p.
|
artikel
|
| 48 |
Decoding vocal indicators of stress in laying hens: A CNN-MFCC deep learning framework
|
Neethirajan, Suresh
|
|
|
11 |
C |
p.
|
artikel
|
| 49 |
Deep learning-based detection of green-ripe pineapples via bract wilting rate analysis
|
Hong, Guo-Fong
|
|
|
11 |
C |
p.
|
artikel
|
| 50 |
Deep learning-driven automated carcass segmentation and composition quantification in live pigs via large-scale CT imaging and its application in genetic analysis of pig breeding
|
Xu, Haoqi
|
|
|
11 |
C |
p.
|
artikel
|
| 51 |
Deep learning framework for fruit counting and yield mapping in tart cherry using YOLOv8 and YOLO11
|
Safre, Anderson L.S.
|
|
|
11 |
C |
p.
|
artikel
|
| 52 |
Deoxynivalenol prediction and spatial mapping in wheat based on online hyperspectral imagery scanning
|
Almoujahed, Muhammad Baraa
|
|
|
11 |
C |
p.
|
artikel
|
| 53 |
Design and implementation of a pneumatic machine for ergonomic greenhouse planting
|
García-Chica, Antonio
|
|
|
11 |
C |
p.
|
artikel
|
| 54 |
Design of a low-cost gas accumulation chamber for general purpose environmental monitoring
|
Longo, Domenico
|
|
|
11 |
C |
p.
|
artikel
|
| 55 |
Design of tabletop hemispherical light transmittance characterization system for small scale samples
|
Cho, Chun-Ting
|
|
|
11 |
C |
p.
|
artikel
|
| 56 |
Detecting tasseling rate of breeding maize using UAV-based RGB images and STB-YOLO model
|
Tang, Boyi
|
|
|
11 |
C |
p.
|
artikel
|
| 57 |
Development of a color-based, non-destructive method to determine leaf N levels of Hass avocado under field conditions
|
Gallegos, Ángeles
|
|
|
11 |
C |
p.
|
artikel
|
| 58 |
Development of a low-cost thermal imaging system for water stress monitoring in indoor farming
|
Nugroho, Andri Prima
|
|
|
11 |
C |
p.
|
artikel
|
| 59 |
Development of an Internet of Things (IoT)-based disease forecaster to manage purple spot on asparagus fern
|
Spafford, John R.
|
|
|
11 |
C |
p.
|
artikel
|
| 60 |
Development of a stereo vision-based UGV guidance system for bareroot forest nurseries
|
Shabani, Sharif
|
|
|
11 |
C |
p.
|
artikel
|
| 61 |
Development, optimization and modelling of performance parameters for remote-controlled mechatronic precision planter using RSM and Hybrid PSO-ANN model
|
Vala, Vimalsinh
|
|
|
11 |
C |
p.
|
artikel
|
| 62 |
Digital Technology Adoption and its impact on household Efficiency: case study drones in rural Vietnam
|
Nguyen, Duyen Lan
|
|
|
11 |
C |
p.
|
artikel
|
| 63 |
Digital transformation in Moroccan agriculture: Applications, used technologies, impacts on marketing, limitations, and orientations for future research
|
Fakhraddine, Mohammed
|
|
|
11 |
C |
p.
|
artikel
|
| 64 |
Dilated inception U-Net with attention for crop pest image segmentation in real-field environment
|
Zhang, Congqi
|
|
|
11 |
C |
p.
|
artikel
|
| 65 |
Duck egg embryonic development classification using transfer learning and CNN
|
Maglasang, Jinky J.
|
|
|
11 |
C |
p.
|
artikel
|
| 66 |
Dynamic growth tomato inflorescence modeling with elastic mechanics data
|
Liu, Siyao
|
|
|
11 |
C |
p.
|
artikel
|
| 67 |
Early and accurate nutrient deficiency detection in hydroponic crops using ensemble machine learning and hyperspectral imaging
|
S․, Nagarajan
|
|
|
11 |
C |
p.
|
artikel
|
| 68 |
Early season dominant weed mapping in maize field using unmanned aerial vehicle (UAV) imagery: Towards developing prescription map
|
Shafiee Sarvestani, Ghazal
|
|
|
11 |
C |
p.
|
artikel
|
| 69 |
Early-stage detection of maize seed germination based on RGB image and machine vision
|
Liu, Xiaohang
|
|
|
11 |
C |
p.
|
artikel
|
| 70 |
Effect of algorithm-based feed allocation on performance, health, and carcass outcomes of Brahman cross steers
|
Platts, S.V.
|
|
|
11 |
C |
p.
|
artikel
|
| 71 |
Effect of group size in a Greenfeed system on estimates of enteric methane emissions from goats grazing grass-based pasture
|
Tadesse, Dereje
|
|
|
11 |
C |
p.
|
artikel
|
| 72 |
Effects of viewing angle and field of view on detection, tracking, and counting of pine seedlings towards automated forest nursery inventory
|
Mulaka, Ashish Reddy
|
|
|
11 |
C |
p.
|
artikel
|
| 73 |
Efficient detection and counting method for maize seedling plots
|
Wang, Feiyun
|
|
|
11 |
C |
p.
|
artikel
|
| 74 |
Enhancing greenhouse management with interpretable AI: A natural language interface for advanced and optimization-based control
|
Naagarajan, Ramesh Arvind
|
|
|
11 |
C |
p.
|
artikel
|
| 75 |
Enhancing LAI estimation of broomcorn millet (Panicum miliaceum L.) by integrating spectral and texture features from UAV-Based multispectral data
|
Xu, Tongfei
|
|
|
11 |
C |
p.
|
artikel
|
| 76 |
Enhancing lettuce classification: Optimizing spectral wavelength selection via CCARS and PLS-DA
|
Dilillo, Nicola
|
|
|
11 |
C |
p.
|
artikel
|
| 77 |
Enhancing resilience in specialty crop production in a changing climate through smart systems adoption
|
Mba, Patience Chizoba
|
|
|
11 |
C |
p.
|
artikel
|
| 78 |
Enhancing rice disease and insect-pest detection through augmented deep learning with transfer learning techniques
|
Bijlwan, Amit
|
|
|
11 |
C |
p.
|
artikel
|
| 79 |
Enhancing rice phenology identification by synergistic learning canopy optical signals and plant height dynamics
|
Li, Ziqiu
|
|
|
11 |
C |
p.
|
artikel
|
| 80 |
Enhancing soil health and crop productivity through spatial variability analysis in precision agriculture
|
Moemeni, Fatemeh
|
|
|
11 |
C |
p.
|
artikel
|
| 81 |
Enhancing soil organic carbon prediction in coastal farmlands using multi-source remote sensing data and machine learning
|
Deng, Yongpeng
|
|
|
11 |
C |
p.
|
artikel
|
| 82 |
Enhancing wheat storage efficiency: A microcontroller-based environment control system for silo
|
Mateen, Muhammad
|
|
|
11 |
C |
p.
|
artikel
|
| 83 |
Estimation of microbial load in Ganoderma lucidum using a solar-electric hybrid dryer enhanced by machine learning and IoT
|
Nuangpirom, Pinit
|
|
|
11 |
C |
p.
|
artikel
|
| 84 |
Evaluating model generalization for cow detection in free-stall barn settings: Insights from the COw LOcalization (COLO) dataset
|
Das, Mautushi
|
|
|
11 |
C |
p.
|
artikel
|
| 85 |
Evaluating performance and generalizability of Learning from Demonstration for the harvesting of apples & pears
|
van de Ven, Robert
|
|
|
11 |
C |
p.
|
artikel
|
| 86 |
Evaluating the impact of hyperparameters on the performance of 1D CNN model for nutritional profiling of underutilized crops using NIRS data
|
Kaur, Simardeep
|
|
|
11 |
C |
p.
|
artikel
|
| 87 |
Explainable artificial intelligence to estimate the Sri Lankan (Ceylon) Tea crop yield
|
Mampitiya, Lakindu
|
|
|
11 |
C |
p.
|
artikel
|
| 88 |
Exploring bare soil digital mapping: identifying alternative variables to replace ECa via remote sensing, a case study on two Italian fields at different latitude
|
Petito, Matteo
|
|
|
11 |
C |
p.
|
artikel
|
| 89 |
Feature-adaptive anomaly detection model for onion inspection system
|
Song, Ziwei
|
|
|
11 |
C |
p.
|
artikel
|
| 90 |
Feature enhanced multistream RNN for growth phase prediction of Euglena sp. microalgae in an IoT-based outdoor cultivation environment
|
Abdullah, Harnan Malik
|
|
|
11 |
C |
p.
|
artikel
|
| 91 |
Finite element optimization of a flexible fin-ray-based soft robotic gripper for scalable fruit harvesting and manipulation
|
Varghese, Finny
|
|
|
11 |
C |
p.
|
artikel
|
| 92 |
Forecasting growth dynamics of hydroponic kale in controlled environment agriculture through vision-based phenotyping and time-series modeling
|
Rahman, Md. Hasibur
|
|
|
11 |
C |
p.
|
artikel
|
| 93 |
“From data to fork” data-driven science inspired by policy initiatives for the promotion of smart agricultural technologies
|
Cogato, Alessia
|
|
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11 |
C |
p.
|
artikel
|
| 94 |
Fruit grasping evaluation based on a humanoid underactuated manipulator and an adaptive grasping algorithm
|
Qiu, Yan
|
|
|
11 |
C |
p.
|
artikel
|
| 95 |
Fuzzy logic-based IoT system for optimizing irrigation with cloud computing: Enhancing water sustainability in smart agriculture
|
Morchid, Abdennabi
|
|
|
11 |
C |
p.
|
artikel
|
| 96 |
GAN-based motion blur elimination as a preprocessing step for enhanced AI-driven computer-aided camera monitoring in poultry and free-range farming in low-resource settings
|
V, Shwetha
|
|
|
11 |
C |
p.
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artikel
|
| 97 |
GANs for data augmentation with stacked CNN models and XAI for interpretable maize yield prediction
|
Pothapragada, Ishaan Seshukumar
|
|
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11 |
C |
p.
|
artikel
|
| 98 |
Generalization of peanut yield prediction models using artificial neural networks and vegetation indices
|
Souza, Jarlyson Brunno Costa
|
|
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11 |
C |
p.
|
artikel
|
| 99 |
Harmonizing ground and UAV hyperspectral data: A novel spectral correction method for maximizing estimation models and datasets of ground hyperspectral
|
Wang, Zhonglin
|
|
|
11 |
C |
p.
|
artikel
|
| 100 |
Harnessing machine learning for grain mycotoxin detection
|
Rayhana, Rakiba
|
|
|
11 |
C |
p.
|
artikel
|
| 101 |
Hierarchical long short term memory recurrent neural network for goats behaviour prediction from accelerometer data
|
Bonneau, Mathieu
|
|
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11 |
C |
p.
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artikel
|
| 102 |
Hyperspectral indicators and characterization of glyphosate-induced stress in common lambsquarters (Chenopodium album L.)
|
Soto, Mario
|
|
|
11 |
C |
p.
|
artikel
|
| 103 |
Hyperspectral signature-band extraction and adaptation for sugar content prediction on Ziziphus mauritiana and Syzygium samarangense
|
Yan, Yung-Jhe
|
|
|
11 |
C |
p.
|
artikel
|
| 104 |
Image-based maturity detection for selective cauliflower harvesting in field condition
|
Kushwah, Ajay
|
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11 |
C |
p.
|
artikel
|
| 105 |
Impact of artificial light on photosynthesis, evapotranspiration, and plant growth in plant factories: Mathematical modeling for balancing energy consumption and crop productivity
|
Amirshekari, Mohammad Hossein
|
|
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11 |
C |
p.
|
artikel
|
| 106 |
Impact of hyper-parameter tuning on CNN accuracy in agricultural image classification
|
Mendes, João
|
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11 |
C |
p.
|
artikel
|
| 107 |
Improved crop row detection by employing attention-based vision transformers and convolutional neural networks with integrated depth modeling for precise spatial accuracy
|
Afzaal, Hassan
|
|
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11 |
C |
p.
|
artikel
|
| 108 |
Improving soil moisture prediction using Gaussian process regression
|
Zhang, Xiaomo
|
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11 |
C |
p.
|
artikel
|
| 109 |
Inductively coupled capacitive soil moisture sensors printed on a biodegradable substrate: Characterization and long-term testing
|
Zaccarin, Anne-Marie
|
|
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11 |
C |
p.
|
artikel
|
| 110 |
Industrial tomato yield prediction using machine learning models
|
Kasimatis, Christoforos-Nikitas
|
|
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11 |
C |
p.
|
artikel
|
| 111 |
Integrating LoRaWAN sensor networks and machine learning models to classify beef cattle behavior on arid rangelands of the southwestern United States
|
Perea, Andres
|
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11 |
C |
p.
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artikel
|
| 112 |
Integrating machine learning with spatial analysis for enhanced soil interpolation: Balancing accuracy and visualization
|
Wang, Yuefan
|
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11 |
C |
p.
|
artikel
|
| 113 |
Integrating multi-source remote sensing data and machine learning for predicting tree density and cover in Argania spinosa
|
Mouafik, Mohamed
|
|
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11 |
C |
p.
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artikel
|
| 114 |
Integrating sensor technology in organic table olive cultivation: A case study
|
Liopa-Tsakalidi, Aglaia
|
|
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11 |
C |
p.
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artikel
|
| 115 |
Integrating thermal infrared and RGB imaging for early detection of water stress in lettuces with comparative analysis of IoT sensors
|
Fevgas, Georgios
|
|
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11 |
C |
p.
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artikel
|
| 116 |
Integration of targeted herbicide application technologies into an integrated weed management program for tomato plasticulture production
|
Buzanini, Ana Claudia
|
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|
11 |
C |
p.
|
artikel
|
| 117 |
Investigating pea (Pisum sativum L.) flowering with high throughput field phenotyping and object detection
|
Oppliger, Corina
|
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11 |
C |
p.
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Leaf area index-based phenotypic assessment of sweet potato varieties using UAV multispectral imagery and a hybrid retrieval approach
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Leveraging ultrasonic-derived phenotypes and estimated breeding value to improve abdominal fat weight prediction in chickens throughout the egg laying period
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LiDAR mapping using point cloud segmentation by intensity calibration for localization in seasonal changing environment
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Lightweight EdgeYOLO-CRE network for Jaboticaba tree recognition based on ascend AI processor
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Line-labelling enhanced CNNs for transparent juvenile fish crowd counting
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Livestock behaviour forecasting via generative artificial intelligence
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Multi-scale remote sensing for sustainable citrus farming: Predicting canopy nitrogen content using UAV-satellite data fusion
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Nondestructive detection of sweet potato leaf curl virus using 3D laser imaging combined with deep learning
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Novel non-destructive authentication of nine Dendrobium species using residual convolutional neural network relying on plant images and FT-NIR spectral information
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Numerical simulation of the effects of downwash airflow and crosswinds on the spray performance of quad-rotor agricultural UAVs
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Optical leaf area assessment supports chlorophyll estimation from UAV images
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Optimization of irrigation and fertigation in smart agriculture: An IoT-based micro-services framework
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Optimizing forest stand aggregation in fragmented stands using graph convolutional networks: A case study in Japan
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Precision livestock farming in buffalo species: a sustainable approach for the future
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Predicting the greenhouse crop morphological parameters based on RGB-D Computer Vision
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