| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A case study on canola (Brassica napus L.) potential yield prediction using remote sensing imagery and advanced data analytics
|
Rai, Nitin
|
|
|
9 |
C |
p.
|
artikel
|
| 2 |
Accelerometers-based position and time interval comparisons for predicting the behaviors of young bulls housed in a feedlot system
|
Watanabe, Rafael Nakamura
|
|
|
9 |
C |
p.
|
artikel
|
| 3 |
A comprehensive cost mapping of digital technologies in greenhouses
|
Vargas, Carolina
|
|
|
9 |
C |
p.
|
artikel
|
| 4 |
Acoustic-based models to assess herd-level calves' emotional state: A machine learning approach
|
da Silva, Maíra Martins
|
|
|
9 |
C |
p.
|
artikel
|
| 5 |
Acoustic response discrimination of phulae pineapple maturity and defects using factor analysis of mixed data and machine learning algorithms
|
Arwatchananukul, Sujitra
|
|
|
9 |
C |
p.
|
artikel
|
| 6 |
Advancements and outlooks in utilizing Convolutional Neural Networks for plant disease severity assessment: A comprehensive review
|
Leite, Douglas
|
|
|
9 |
C |
p.
|
artikel
|
| 7 |
AI based early identification and severity detection of nutrient deficiencies in coconut trees
|
Manoharan, Sakthiprasad Kuttankulangara
|
|
|
9 |
C |
p.
|
artikel
|
| 8 |
Algorithmic advancements in agrivoltaics: Modeling shading effects of semi-transparent photovoltaics
|
Petrakis, Theodoros
|
|
|
9 |
C |
p.
|
artikel
|
| 9 |
A LoRaWAN-based IoT platform for smart irrigation in olive groves
|
Liopa-Tsakalidi, Aglaia
|
|
|
9 |
C |
p.
|
artikel
|
| 10 |
A multilayer control architecture for greenhouse crop production in agro-industrial districts: Conceptual framework, prospects and challenges
|
Rodríguez, Francisco
|
|
|
9 |
C |
p.
|
artikel
|
| 11 |
An efficient and lightweight banana detection and localization system based on deep CNNs for agricultural robots
|
Zheng, Zhenhui
|
|
|
9 |
C |
p.
|
artikel
|
| 12 |
An IMU-based machine learning approach for daily behavior pattern recognition in dairy cows
|
Liang, Hua-Ta
|
|
|
9 |
C |
p.
|
artikel
|
| 13 |
An ontology-based agriculture decision-support system with an evidence-based explanation model
|
Alharbi, Amani Falah
|
|
|
9 |
C |
p.
|
artikel
|
| 14 |
A novel multimodal image feature fusion mechanism: Application to rabbit liveweight estimation in commercial farms
|
Song, Daoyi
|
|
|
9 |
C |
p.
|
artikel
|
| 15 |
A novel on-line dual sensing system for soil property measurement and mapping
|
Oladipupo, Rukayat Afolake
|
|
|
9 |
C |
p.
|
artikel
|
| 16 |
Application of computer vision and machine learning in morphological characterization of Adansonia digitata fruits
|
Dono, Franklin X.
|
|
|
9 |
C |
p.
|
artikel
|
| 17 |
Application of hyper-automation in farming – an analysis
|
Amertet, Sairoel
|
|
|
9 |
C |
p.
|
artikel
|
| 18 |
Applications of satellite platforms and machine learning for mapping and monitoring grasslands and pastures: A systematic and comprehensive review
|
Pinna, Daniele
|
|
|
9 |
C |
p.
|
artikel
|
| 19 |
Artificial intelligence for herbicide recommendation: Case study for the use of clomazone in Brazilian soils
|
Lins, Hamurábi Anizio
|
|
|
9 |
C |
p.
|
artikel
|
| 20 |
A smart agriculture information system delivering research data for adoption by the Australian grains industry
|
Ollerenshaw, A.
|
|
|
9 |
C |
p.
|
artikel
|
| 21 |
Assessing plant pigmentation impacts: A novel approach integrating UAV and multispectral data to analyze atrazine metabolite effects from soil contamination
|
Boonupara, Thirasant
|
|
|
9 |
C |
p.
|
artikel
|
| 22 |
Assessing the effectiveness of satellite and UAV-based remote sensing for delineating alfalfa management zones under heterogeneous rootzone soil salinity
|
Sapkota, Anish
|
|
|
9 |
C |
p.
|
artikel
|
| 23 |
Assessing the impact of overhead agrivoltaic systems on GNSS signal performance for precision agriculture
|
Vélez, Sergio
|
|
|
9 |
C |
p.
|
artikel
|
| 24 |
Assessing the precision and consistency of agroview in orchard management: A multi-temporal analysis
|
Trentin, Carolina
|
|
|
9 |
C |
p.
|
artikel
|
| 25 |
A survey on deep learning in UAV imagery for precision agriculture and wild flora monitoring: Datasets, models and challenges
|
Epifani, Lorenzo
|
|
|
9 |
C |
p.
|
artikel
|
| 26 |
A systematic analysis of scan matching techniques for localization in dense orchards
|
Guevara, Javier
|
|
|
9 |
C |
p.
|
artikel
|
| 27 |
A systematic review of machine learning and deep learning approaches in plant species detection
|
Barhate, Deepti
|
|
|
9 |
C |
p.
|
artikel
|
| 28 |
A systematic review of UAV and AI integration for targeted disease detection, weed management, and pest control in precision agriculture
|
Anam, Iftekhar
|
|
|
9 |
C |
p.
|
artikel
|
| 29 |
Autonomous collaborative mobile robot for greenhouses: Design, development, and validation tests
|
Cañadas-Aránega, Fernando
|
|
|
9 |
C |
p.
|
artikel
|
| 30 |
Blockchain-enabled smart contracts for enhancing seed certification transparency: A design science approach
|
Shao, Deo
|
|
|
9 |
C |
p.
|
artikel
|
| 31 |
Breaking the barriers of technology adoption: Explainable AI for requirement analysis and technology design in smart farming
|
Mallinger, Kevin
|
|
|
9 |
C |
p.
|
artikel
|
| 32 |
Can UVC radiation be useful in prolonging the shelf life of mangoes?
|
Le, Thi-Thu-Ngoc
|
|
|
9 |
C |
p.
|
artikel
|
| 33 |
ChatGPT and general-purpose AI count fruits in pictures surprisingly well without programming or training
|
Mengsuwan, Konlavach
|
|
|
9 |
C |
p.
|
artikel
|
| 34 |
Classifying active and inactive states of growing rabbits from accelerometer data using machine learning algorithms
|
Mora, Mónica
|
|
|
9 |
C |
p.
|
artikel
|
| 35 |
Classifying adaxial and abaxial sides of diseased citrus leaves with selected hyperspectral bands and YOLOv8
|
Frederick, Quentin
|
|
|
9 |
C |
p.
|
artikel
|
| 36 |
CNN-based weight estimation from point clouds obtained from walking breed sows
|
Kwon, Kiyoun
|
|
|
9 |
C |
p.
|
artikel
|
| 37 |
Coffee leaf rust and berry borer management in agroforestry systems: A systematic literature review
|
Rodriguez-Gallo, Yakdiel
|
|
|
9 |
C |
p.
|
artikel
|
| 38 |
Combining OBIA, CNN, and UAV imagery for automated detection and mapping of individual olive trees
|
Ameslek, Oumaima
|
|
|
9 |
C |
p.
|
artikel
|
| 39 |
Comparative analysis of RGB and multispectral UAV image data for leaf area index estimation of sweet potato
|
Ochiai, Shoki
|
|
|
9 |
C |
p.
|
artikel
|
| 40 |
Comparative performance of YOLOv8, YOLOv9, YOLOv10, YOLOv11 and Faster R-CNN models for detection of multiple weed species
|
Sharma, Akhilesh
|
|
|
9 |
C |
p.
|
artikel
|
| 41 |
Consistency regularization based semi-supervised plant disease recognition
|
Ilsever, Murat
|
|
|
9 |
C |
p.
|
artikel
|
| 42 |
Convolutional neural network for the early identification of weeds: A technological support to biodiversity and yield losses mitigation
|
Russo, Claudio
|
|
|
9 |
C |
p.
|
artikel
|
| 43 |
Cover crop impacts on soil organic matter dynamics and its quantification using UAV and proximal sensing
|
Vavlas, Nikolaos-Christos
|
|
|
9 |
C |
p.
|
artikel
|
| 44 |
Cowpea leaf disease identification using deep learning
|
Megalingam, Rajesh Kannan
|
|
|
9 |
C |
p.
|
artikel
|
| 45 |
Crop selection
|
Nde, Rodrigue Kongne
|
|
|
9 |
C |
p.
|
artikel
|
| 46 |
Cybersecurity threats and mitigation measures in agriculture 4.0 and 5.0
|
Maraveas, Chrysanthos
|
|
|
9 |
C |
p.
|
artikel
|
| 47 |
Daily light integral maps for agriculture lighting design in Spain
|
Jung, András
|
|
|
9 |
C |
p.
|
artikel
|
| 48 |
Decision fusion-based system to detect two invasive stink bugs in orchards
|
Dinca, Marius-Alexandru
|
|
|
9 |
C |
p.
|
artikel
|
| 49 |
Deep learning-based accurate detection of insects and damage in cruciferous crops using YOLOv5
|
Chakrabarty, Sourav
|
|
|
9 |
C |
p.
|
artikel
|
| 50 |
Deep learning-based instance segmentation for improved pepper phenotyping
|
Gómez-Zamanillo, Laura
|
|
|
9 |
C |
p.
|
artikel
|
| 51 |
Deep learning-based sow posture classifier using colour and depth images
|
Pacheco, Verônica Madeira
|
|
|
9 |
C |
p.
|
artikel
|
| 52 |
Deep learning for image-based detection of weeds from emergence to maturity in wheat fields
|
Guzel, Mustafa
|
|
|
9 |
C |
p.
|
artikel
|
| 53 |
Deep learning guided variable rate robotic sprayer prototype
|
Abioye, Abiodun Emmanuel
|
|
|
9 |
C |
p.
|
artikel
|
| 54 |
Deep learning methods for enhanced stress and pest management in market garden crops: A comprehensive analysis
|
Odounfa, Mireille Gloria Founmilayo
|
|
|
9 |
C |
p.
|
artikel
|
| 55 |
DEM simulation of subsoiling in tropical sugarcane fields: Effects of opposing subsoiler design and model parameters
|
Wei, Lijiao
|
|
|
9 |
C |
p.
|
artikel
|
| 56 |
Design and development of machine vision robotic arm for vegetable crops in hydroponics
|
Khan, Haider Ali
|
|
|
9 |
C |
p.
|
artikel
|
| 57 |
Design and experiment of coconut picking robot with climbing
|
Zheng, Hongcheng
|
|
|
9 |
C |
p.
|
artikel
|
| 58 |
Design and implementation of an IoT-based monitoring system for early detection of lumpy skin disease in cattle
|
Shahab, Hammad
|
|
|
9 |
C |
p.
|
artikel
|
| 59 |
Design, development, and testing of a cassava storage root-cutting robot utilizing a Stewart platform and mask R-CNN for precision agriculture
|
Singhpoo, Thanaporn
|
|
|
9 |
C |
p.
|
artikel
|
| 60 |
Detection, counting, and maturity assessment of blueberries in canopy images using YOLOv8 and YOLOv9
|
Deng, Boyang
|
|
|
9 |
C |
p.
|
artikel
|
| 61 |
Detection of citrus black spot fungi Phyllosticta citricarpa & Phyllosticta capitalensis on UV-C fluorescence images using YOLOv8
|
Yadav, Pappu Kumar
|
|
|
9 |
C |
p.
|
artikel
|
| 62 |
Developing a reference method for indirect measurement of pasture evapotranspiration at sub-meter spatial resolution
|
Alam, Muhammad Shahinur
|
|
|
9 |
C |
p.
|
artikel
|
| 63 |
Development and evaluation of a self-adaptable planting unit for an autonomous planting process of field vegetables
|
Lüling, Nils
|
|
|
9 |
C |
p.
|
artikel
|
| 64 |
Development and evaluation of a sensor enabled smart herbicide applicator for inter row crops
|
Malkani, Pankaj
|
|
|
9 |
C |
p.
|
artikel
|
| 65 |
Development and implementation of a raspberry Pi-based IoT system for real-time performance monitoring of an instrumented tractor
|
Mahore, Vijay
|
|
|
9 |
C |
p.
|
artikel
|
| 66 |
Development of a cloud-based IoT system for livestock health monitoring using AWS and python
|
Bhaskaran, Harini Shree
|
|
|
9 |
C |
p.
|
artikel
|
| 67 |
Development of a flexible electronic control unit for seamless integration of machine vision to CAN-enabled boom sprayers for spot application technology
|
Motalab, Mozammel Bin
|
|
|
9 |
C |
p.
|
artikel
|
| 68 |
Development of a grape-harvesting robot using a multi-step detection method based on AI and a position-estimation algorithm
|
Wang, Weiguo
|
|
|
9 |
C |
p.
|
artikel
|
| 69 |
Development of a low-cost smart irrigation system for sustainable water management in the Mediterranean region
|
Di Gennaro, Salvatore Filippo
|
|
|
9 |
C |
p.
|
artikel
|
| 70 |
Development of autonomous navigation system based on neural network and visual servoing for row-crop tracking in vegetable greenhouses
|
Yuan, Hongliang
|
|
|
9 |
C |
p.
|
artikel
|
| 71 |
Development of low-cost multifunctional robotic apparatus for high-throughput plant phenotyping
|
Mach, Jiří
|
|
|
9 |
C |
p.
|
artikel
|
| 72 |
Development of low-cost portable spectrometer equipped with 18-band spectral sensors using deep learning model for evaluating moisture content of rubber sheets
|
Puttipipatkajorn, Amorndej
|
|
|
9 |
C |
p.
|
artikel
|
| 73 |
Development of software interface for AI-driven weed control in robotic vehicles, with time-based evaluation in indoor and field settings
|
Sunil, G C
|
|
|
9 |
C |
p.
|
artikel
|
| 74 |
Developments in Automated Harvesting Equipment for the Apple in the orchard: Review
|
Tianjing, Yi
|
|
|
9 |
C |
p.
|
artikel
|
| 75 |
Digital soil mapping of available phosphorus using a smartphone-integrated RGB imaging device and ascorbic acid extraction method
|
Lavanya, V
|
|
|
9 |
C |
p.
|
artikel
|
| 76 |
Digital transformation at what cost? A case study from Germany estimating the adoption potential of precision farming technologies under different scenarios
|
Munz, Johannes
|
|
|
9 |
C |
p.
|
artikel
|
| 77 |
3D printing applications in smart farming and food processing
|
Padhiary, Mrutyunjay
|
|
|
9 |
C |
p.
|
artikel
|
| 78 |
Early detection of the Taro Leaf Blight disease in the West African sub-region using deep image classification models
|
Nwaneto, Chidiebere
|
|
|
9 |
C |
p.
|
artikel
|
| 79 |
Early plant disease diagnosis through handheld UV–Vis transmittance spectrometer with DD-SIMCA one-class classification and MCR-ALS bilinear decomposition
|
Reis-Pereira, Mafalda
|
|
|
9 |
C |
p.
|
artikel
|
| 80 |
Efficient physics-informed transfer learning to quantify biochemical traits of winter wheat from UAV multispectral imagery
|
Zhang, Changsai
|
|
|
9 |
C |
p.
|
artikel
|
| 81 |
Energy-saving cooling strategies in tunnel-ventilated dairy buildings: Computational fluid dynamics (CFD) simulations and validation
|
Jiang, Li
|
|
|
9 |
C |
p.
|
artikel
|
| 82 |
Enhanced mastitis severity classification in dairy cows using DNN and RF: A study on PCA and correlation-based feature selection
|
Lashin, Manar
|
|
|
9 |
C |
p.
|
artikel
|
| 83 |
Enhancing corn yield prediction: Optimizing data quality or model complexity?
|
Zhou, Yuting
|
|
|
9 |
C |
p.
|
artikel
|
| 84 |
Enhancing irrigation management: Unsupervised machine learning coupled with geophysical and multispectral data for informed decision-making in rice production
|
Chaali, Nesrine
|
|
|
9 |
C |
p.
|
artikel
|
| 85 |
Environmental assessment of soluble solids contents and pH of orange using hyperspectral method and machine learning
|
Rasekh, Mansour
|
|
|
9 |
C |
p.
|
artikel
|
| 86 |
Estimation of aboveground biomass of Alfalfa using field robotics
|
Singh, Jasanmol
|
|
|
9 |
C |
p.
|
artikel
|
| 87 |
Estimation of nitrogen uptake, biomass, and nitrogen concentration, in cover crop monocultures and mixtures from optical UAV images
|
Dal Lago, Paolo
|
|
|
9 |
C |
p.
|
artikel
|
| 88 |
Estimation of physico-chemical properties of soil using machine learning
|
Mba, Patience Chizoba
|
|
|
9 |
C |
p.
|
artikel
|
| 89 |
Evaluating an autonomous electric robot for real farming applications
|
Sara, Gabriele
|
|
|
9 |
C |
p.
|
artikel
|
| 90 |
Evaluation of Qazaq Aqbas bulls’ feed efficiency traits for breeding goals: A case study
|
Tilepova, Assel
|
|
|
9 |
C |
p.
|
artikel
|
| 91 |
Exposing tail biters by automatic scream detection
|
Heseker, Philipp
|
|
|
9 |
C |
p.
|
artikel
|
| 92 |
Farmer's attitudes towards GHG emissions and adoption to low-cost sensor-driven smart farming for mitigation: The case of Ireland tillage and horticultural farmers
|
Otieno, Fredrick
|
|
|
9 |
C |
p.
|
artikel
|
| 93 |
Feasibility analysis of robots in greenhouses. A case study in European Mediterranean countries
|
Moreno, J.C.
|
|
|
9 |
C |
p.
|
artikel
|
| 94 |
Feature comparison from laser speckle imaging as a novel tool for identifying infections in tomato leaves
|
Félix-Quintero, H.
|
|
|
9 |
C |
p.
|
artikel
|
| 95 |
Field-based multispecies weed and crop detection using ground robots and advanced YOLO models: A data and model-centric approach
|
C, Sunil G
|
|
|
9 |
C |
p.
|
artikel
|
| 96 |
Field scale wheat yield prediction using ensemble machine learning techniques
|
Gawdiya, Sandeep
|
|
|
9 |
C |
p.
|
artikel
|
| 97 |
Four-parameter beta mixed models with survey and sentinel 2A satellite data for predicting paddy productivity
|
Kusumaningrum, Dian
|
|
|
9 |
C |
p.
|
artikel
|
| 98 |
Groundnut (ARACHIS HYPOGAEA L.) seed defect classification using ensemble deep learning techniques
|
Gebremeskel, Gebeyehu Belay
|
|
|
9 |
C |
p.
|
artikel
|
| 99 |
Hive behaviour assessment through vector autoregressive model by a smart apiculture system in the Mediterranean area
|
Bono, Filippa
|
|
|
9 |
C |
p.
|
artikel
|
| 100 |
Hybrid Adaptive Multiple Intelligence System (HybridAMIS) for classifying cannabis leaf diseases using deep learning ensembles
|
Sriprateep, Keartisak
|
|
|
9 |
C |
p.
|
artikel
|
| 101 |
Hyperspectral image reconstruction for predicting chick embryo mortality towards advancing egg and hatchery industry
|
Ahmed, Md. Toukir
|
|
|
9 |
C |
p.
|
artikel
|
| 102 |
Hyperspectral reflectance and machine learning for multi-site monitoring of cotton growth
|
Flynn, K. Colton
|
|
|
9 |
C |
p.
|
artikel
|
| 103 |
ICT adoption, commercial orientation and productivity: Understanding the digital divide in Rural China
|
Zhang, Jian
|
|
|
9 |
C |
p.
|
artikel
|
| 104 |
Impact of spray volume and flight speed on the efficiency of drone applications in coffee plants of different ages
|
Silva, Jéssica Elaine
|
|
|
9 |
C |
p.
|
artikel
|
| 105 |
Implementation of laser-light backscattering imaging for authentication of the geographic origin of Indonesia region citrus
|
Nanda, Muhammad Achirul
|
|
|
9 |
C |
p.
|
artikel
|
| 106 |
Implementing a deep learning model for defect classification in Thai Arabica green coffee beans
|
Arwatchananukul, Sujitra
|
|
|
9 |
C |
p.
|
artikel
|
| 107 |
In-hive flatbed scanners for non-destructive, long-term monitoring of honey bee brood, pathogens and pests
|
Borlinghaus, Parzival
|
|
|
9 |
C |
p.
|
artikel
|
| 108 |
Innovative multi-temporal evapotranspiration forecasting using empirical fourier decomposition and bidirectional long short-term memory
|
Karbasi, Masoud
|
|
|
9 |
C |
p.
|
artikel
|
| 109 |
In search of an optimal bio-logger epoch and device combination for quantifying activity budgets in free-ranging cattle
|
Cunningham, Stephanie A.
|
|
|
9 |
C |
p.
|
artikel
|
| 110 |
Integrating solar induced fluorescence with high throughput plant screening for advanced phenotyping of plants
|
Mayo, Amir
|
|
|
9 |
C |
p.
|
artikel
|
| 111 |
Integration of the WRF model and IoT sensors to develop an early cold snap warning system for inland fishponds
|
Li, Hsiang-Hsuan
|
|
|
9 |
C |
p.
|
artikel
|
| 112 |
Intelligent beehive monitoring system based on internet of things and colony state analysis
|
Zheng, Yiyao
|
|
|
9 |
C |
p.
|
artikel
|
| 113 |
IoT-based real-time biofloc monitoring and controlling system
|
Al Mamun, Md. Rasel
|
|
|
9 |
C |
p.
|
artikel
|
| 114 |
IoT enhanced deep water culture hydroponic system for optimizing Chinese celery yield and economic evaluation
|
Duangpakdee, Kusonsang
|
|
|
9 |
C |
p.
|
artikel
|
| 115 |
Large language models impact on agricultural workforce dynamics: Opportunity or risk?
|
Marinoudi, Vasso
|
|
|
9 |
C |
p.
|
artikel
|
| 116 |
Leveraging edge computing and deep learning for the real-time identification of bean plant pathologies
|
Katumba, Andrew
|
|
|
9 |
C |
p.
|
artikel
|
| 117 |
Leveraging leaf spectroscopy to identify drought-tolerant soybean cultivars
|
de Paula, Ramon Gonçalves
|
|
|
9 |
C |
p.
|
artikel
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| 118 |
Lithosphere infiltrometer: A low cost, automated infiltrometer (permeameter) for measurement of soil health, infiltration, and hydraulic conductivity
|
Hardie, Marcus
|
|
|
9 |
C |
p.
|
artikel
|
| 119 |
Machine learning-based smart irrigation controller for runoff minimization in turfgrass irrigation
|
Dhal, Sambandh
|
|
|
9 |
C |
p.
|
artikel
|
| 120 |
Machine learning for automated oil palm fruit grading: The role of fuzzy C-means segmentation and textural features
|
Rosbi, Munirah
|
|
|
9 |
C |
p.
|
artikel
|
| 121 |
Machine learning for early detection of plant viruses: Analyzing post-infection electrical signal patterns
|
Ghasemi, Elham
|
|
|
9 |
C |
p.
|
artikel
|
| 122 |
Maturity detection of ‘Huping’ jujube fruits in natural environment using YOLO-FHLD
|
Sun, Haixia
|
|
|
9 |
C |
p.
|
artikel
|
| 123 |
Monitoring cattle liveweight using a mobile, in-paddock weigh platform: Validation, attendance and utility
|
Hasan, Faysal M.
|
|
|
9 |
C |
p.
|
artikel
|
| 124 |
MSCPUnet: A multi-task neural network for plot-level crop classification in complex agricultural areas
|
Fang, Kedi
|
|
|
9 |
C |
p.
|
artikel
|
| 125 |
Multimodal rapid identification of growth stages and discrimination of growth status for Morchella
|
Jia, Ning
|
|
|
9 |
C |
p.
|
artikel
|
| 126 |
Multi-spectral image transformer descriptor classification combined with molecular tools for early detection of tomato grey mould
|
Kapetas, Dimitrios
|
|
|
9 |
C |
p.
|
artikel
|
| 127 |
Nondestructive diagnosis of mineral deficiencies in wheat leaves by one- or two-shot saturation pulse measurement of chlorophyll fluorescence and P700+ absorbance with machine learning
|
Kuroki, Shinichiro
|
|
|
9 |
C |
p.
|
artikel
|
| 128 |
Non-invasive detection of pesticide residues in freshly harvested olives using hyperspectral imaging technology
|
Martínez Gila, Diego Manuel
|
|
|
9 |
C |
p.
|
artikel
|
| 129 |
Novel energy savings method considering extra sensor battery discharge time for fish farming applications
|
Rivera Betancur, Lisbeth Haydee
|
|
|
9 |
C |
p.
|
artikel
|
| 130 |
Olive fruit ripening characterisation based on electrical capacitance measurements
|
Argüello, Daniel
|
|
|
9 |
C |
p.
|
artikel
|
| 131 |
On the application of image augmentation for plant disease detection: A systematic literature review
|
Antwi, Kwame
|
|
|
9 |
C |
p.
|
artikel
|
| 132 |
Open-source electronics Arduino platform for soil water measurement with the dual-probe heat-pulse (DPHP) method
|
Aoki, Shinsuke
|
|
|
9 |
C |
p.
|
artikel
|
| 133 |
Optical detection of single and multiple seeding using an innovative shape-recognition algorithm
|
Ghaffarnezhad, Ali
|
|
|
9 |
C |
p.
|
artikel
|
| 134 |
PcMNet: An efficient lightweight apple detection algorithm in natural orchards
|
Wen, Shiwei
|
|
|
9 |
C |
p.
|
artikel
|
| 135 |
PIS-Net: Efficient weakly supervised instance segmentation network based on annotated points for rice field weed identification
|
Chen, Hao
|
|
|
9 |
C |
p.
|
artikel
|
| 136 |
Precision agriculture: A bibliometric analysis and research agenda
|
Rejeb, Abderahman
|
|
|
9 |
C |
p.
|
artikel
|
| 137 |
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|
Marmont, Benjamin
|
|
|
9 |
C |
p.
|
artikel
|
| 138 |
Predicting main behaviors of beef bulls from accelerometer data: A machine learning framework
|
Camargo, Vinicius A.
|
|
|
9 |
C |
p.
|
artikel
|
| 139 |
Prediction of carbon dioxide emissions from Atlantic Canadian potato fields using advanced hybridized machine learning algorithms – Nexus of field data and modelling
|
Hassan, Muhammad
|
|
|
9 |
C |
p.
|
artikel
|
| 140 |
Prediction of mango quality during ripening stage using MQ-based electronic nose and multiple linear regression
|
Rahman, Kazi Shakibur
|
|
|
9 |
C |
p.
|
artikel
|
| 141 |
Proximally sensed RGB images and colour indices for distinguishing rice blast and brown spot diseases by k-means clustering: Towards a mobile application solution
|
Terensan, Suvanthini
|
|
|
9 |
C |
p.
|
artikel
|
| 142 |
Public irrigation decision support systems (IDSS) in Italy: Description, evaluation and national context overview
|
Sportelli, Mino
|
|
|
9 |
C |
p.
|
artikel
|
| 143 |
Quantifying solid volume of stacked eucalypt timber using detection-segmentation and diameter distribution models
|
Casas, Gianmarco Goycochea
|
|
|
9 |
C |
p.
|
artikel
|
| 144 |
Reinforcement learning-based assimilation of the WOFOST crop model
|
Chen, Haochong
|
|
|
9 |
C |
p.
|
artikel
|
| 145 |
Revolutionizing agri-food technology: Development and validation of the Portable Intelligent Oil Recognition System (PIORS)
|
Ramadan, Montaser N.A.
|
|
|
9 |
C |
p.
|
artikel
|
| 146 |
Robots in agriculture – A case-based discussion of ethical concerns on job loss, responsibility, and data control
|
Holm, Sune
|
|
|
9 |
C |
p.
|
artikel
|
| 147 |
Root segmentation of horticultural plants in X-Ray CT images by integrating 2D instance segmentation with 3D point cloud clustering
|
Cassity, Mary E.
|
|
|
9 |
C |
p.
|
artikel
|
| 148 |
Rotifer detection and tracking framework using deep learning for automatic culture systems
|
Ienaga, Naoto
|
|
|
9 |
C |
p.
|
artikel
|
| 149 |
Scoping review of precision technologies for cattle monitoring
|
Besler, Brendon C.
|
|
|
9 |
C |
p.
|
artikel
|
| 150 |
Semantic segmentation for plant leaf disease classification and damage detection: A deep learning approach
|
Polly, Roshni
|
|
|
9 |
C |
p.
|
artikel
|
| 151 |
Single plant segmentation and growth parameters measurement of maize seedling stage based on point cloud intensity
|
Miao, Yanlong
|
|
|
9 |
C |
p.
|
artikel
|
| 152 |
Soil texture analysis using controlled image processing
|
Sattar, Kashif
|
|
|
9 |
C |
p.
|
artikel
|
| 153 |
Sorghum grain yield estimation based on multispectral images and neural network in tropical environments
|
Ferraz, Marcelo Araújo Junqueira
|
|
|
9 |
C |
p.
|
artikel
|
| 154 |
Spatio-temporal analysis of agroforestry systems in hotan using multi-source remote sensing and deep learning
|
Kou, Wenqi
|
|
|
9 |
C |
p.
|
artikel
|
| 155 |
Spatiotemporal analysis using deep learning and fuzzy inference for evaluating broiler activities
|
Chang, Chung-Liang
|
|
|
9 |
C |
p.
|
artikel
|
| 156 |
Standalone edge AI-based solution for Tomato diseases detection
|
Majeed, Yaqoob
|
|
|
9 |
C |
p.
|
artikel
|
| 157 |
Stimulating awareness of Precision Farming through gamification: The Farming Simulator case
|
Pavlenko, Tetiana
|
|
|
9 |
C |
p.
|
artikel
|
| 158 |
Subtropical region tea tree LAI estimation integrating vegetation indices and texture features derived from UAV multispectral images
|
Zhuang, Zhong-Han
|
|
|
9 |
C |
p.
|
artikel
|
| 159 |
Synthetic meets authentic: Leveraging LLM generated datasets for YOLO11 and YOLOv10-based apple detection through machine vision sensors
|
Sapkota, Ranjan
|
|
|
9 |
C |
p.
|
artikel
|
| 160 |
“There will always be collars in my future”; Exploring US ranchers’ and company representatives’ perspectives of virtual fencing for livestock
|
Melo-Velasco, Jenny
|
|
|
9 |
C |
p.
|
artikel
|
| 161 |
Thermal exchange, physiological variables and thermography in creole horse under heat stress
|
Ribeiro, Neila Lidiany
|
|
|
9 |
C |
p.
|
artikel
|
| 162 |
The soft computing approaches in optimising multi-objective mechanical design of a weeding robot
|
Soleimani, Afsaneh
|
|
|
9 |
C |
p.
|
artikel
|
| 163 |
Tracking and automatic behavioral analysis of group-housed pigs based on YOLOX+BoT-SORT-slim
|
Tu, Shuqin
|
|
|
9 |
C |
p.
|
artikel
|
| 164 |
Tree crop yield estimation and prediction using remote sensing and machine learning: A systematic review
|
Trentin, Carolina
|
|
|
9 |
C |
p.
|
artikel
|
| 165 |
Unharvested palm fruit bunch ripeness detection with hybrid color correction
|
Chang, Cheng
|
|
|
9 |
C |
p.
|
artikel
|
| 166 |
Using milk flow profiles for subclinical mastitis detection
|
Jin, Changhong
|
|
|
9 |
C |
p.
|
artikel
|
| 167 |
Visual information guided multi-modal model for plant disease anomaly detection
|
Dong, Jiuqing
|
|
|
9 |
C |
p.
|
artikel
|
| 168 |
YOLOrot2.0: A novel algorithm for high-precision rice seed size measurement with real-time processing
|
Zhao, Jinfeng
|
|
|
9 |
C |
p.
|
artikel
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