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                             127 gevonden resultaten
nr titel auteur tijdschrift jaar jaarg. afl. pagina('s) type
1 A comparative analysis of paddy crop biotic stress classification using pre-trained deep neural networks Malvade, Naveen N.
C p. 167-175
 artikel
2 A comprehensive review on automation in agriculture using artificial intelligence Jha, Kirtan
C p. 1-12
 artikel
3 A computer vision system for defect discrimination and grading in tomatoes using machine learning and image processing Ireri, David
C p. 28-37
 artikel
4 A deep learning method for monitoring spatial distribution of cage-free hens Yang, Xiao
C p. 20-29
 artikel
5 A fuzzy logic algorithm derived mechatronic concept prototype for crop damage avoidance during eco-friendly eradication of intra-row weeds Kumar, Satya Prakash
C p. 116-126
 artikel
6 A fuzzy risk assessment model used for assessing the introduction of African swine fever into Australia from overseas Liu, Hongkun
C p. 27-34
 artikel
7 Agri-BIGDATA: A smart pathway for crop nitrogen inputs Yang, Guijun
C p. 150-152
 artikel
8 Analysis of land surface temperature using Geospatial technologies in Gida Kiremu, Limu, and Amuru District, Western Ethiopia Moisa, Mitiku Badasa
C p. 90-99
 artikel
9 An integrated foot transducer and data logging system for dynamic assessment of lower limb exerted forces during agricultural machinery operations Hota, Smrutilipi
C p. 96-103
 artikel
10 An investigation into the potential of Gabor wavelet features for scene classification in wild blueberry fields Ayalew, Gashaw
C p. 72-81
 artikel
11 A novel elemental composition based prediction model for biochar aromaticity derived from machine learning Cao, Hongliang
C p. 133-141
 artikel
12 Application of artificial intelligence for separation of live and dead rainbow trout fish eggs Rohani, Abbas
C p. 27-34
 artikel
13 Applications of electronic nose (e-nose) and electronic tongue (e-tongue) in food quality-related properties determination: A review Tan, Juzhong
C p. 104-115
 artikel
14 A review of imaging techniques for plant disease detection Singh, Vijai
C p. 229-242
 artikel
15 A review on computer vision systems in monitoring of poultry: A welfare perspective Okinda, Cedric
C p. 184-208
 artikel
16 Artificial cognition for applications in smart agriculture: A comprehensive review Pathan, Misbah
C p. 81-95
 artikel
17 Assessing the performance of YOLOv5 algorithm for detecting volunteer cotton plants in corn fields at three different growth stages Yadav, Pappu Kumar
C p. 292-303
 artikel
18 A study on deep learning algorithm performance on weed and crop species identification under different image background G C, Sunil
C p. 242-256
 artikel
19 A systematic review of machine learning techniques for cattle identification: Datasets, methods and future directions Hossain, Md Ekramul
C p. 138-155
 artikel
20 Automated quality inspection of baby corn using image processing and deep learning Wonggasem, Kris
C p. 61-69
 artikel
21 Automatic marker-free registration of single tree point-cloud data based on rotating projection Xu, Xiuxian
C p. 176-188
 artikel
22 Automation and digitization of agriculture using artificial intelligence and internet of things Subeesh, A.
C p. 278-291
 artikel
23 Benchmark of an intelligent fuzzy calculator for admissible estimation of drawbar pull supplied by mechanical front wheel drive tractor Shafaei, S.M.
C p. 209-218
 artikel
24 Blockchain: A new safeguard for agri-foods Xu, Jie
C p. 153-161
 artikel
25 CactiViT: Image-based smartphone application and transformer network for diagnosis of cactus cochineal Berka, Anas
C p. 12-21
 artikel
26 Carbon sequestration and emissions mitigation in paddy fields based on the DNDC model: A review Yin, Shan
C p. 140-149
 artikel
27 Combining machine learning, space-time cloud restoration and phenology for farm-level wheat yield prediction Tesfaye, Andualem Aklilu
C p. 208-222
 artikel
28 Comparison of CNN-based deep learning architectures for rice diseases classification Ahad, Md Taimur
C p. 22-35
 artikel
29 Comparison of two data fusion methods for localization of wheeled mobile robot in farm conditions Erfani, S.
C p. 48-55
 artikel
30 Corn ear test using SIFT-based panoramic photography and machine vision technology Zhang, Xinyi
C p. 162-171
 artikel
31 Corn kernel classification from few training samples Suárez, Patricia L.
C p. 89-99
 artikel
32 Coupling of crop assignment and vehicle routing for harvest planning in agriculture Graf Plessen, Mogens
C p. 99-109
 artikel
33 Crop diagnostic system: A robust disease detection and management system for leafy green crops grown in an aquaponics facility Abbasi, R.
C p. 1-12
 artikel
34 Crop plant signaling for real-time plant identification in smart farm: A systematic review and new concept in artificial intelligence for automated weed control Su, Wen-Hao
C p. 262-271
 artikel
35 Cumulative unsupervised multi-domain adaptation for Holstein cattle re-identification Dubourvieux, Fabian
C p. 46-60
 artikel
36 Deep convolutional neural network for damaged vegetation segmentation from RGB images based on virtual NIR-channel estimation Picon, Artzai
C p. 199-210
 artikel
37 Deep convolutional neural network models for weed detection in polyhouse grown bell peppers Subeesh, A.
C p. 47-54
 artikel
38 Deep learning approach for recognition and classification of yield affecting paddy crop stresses using field images Anami, Basavaraj S.
C p. 12-20
 artikel
39 Deep learning based computer vision approaches for smart agricultural applications Dhanya, V.G.
C p. 211-229
 artikel
40 Deep learning for the detection of semantic features in tree X-ray CT scans Khazem, Salim
C p. 13-26
 artikel
41 Deep learning methods for biotic and abiotic stresses detection and classification in fruits and vegetables: State of the art and perspectives Houetohossou, Sèton Calmette Ariane
C p. 46-60
 artikel
42 Deep learning models for automatic identification of plant-parasitic nematode Shabrina, Nabila Husna
C p. 1-12
 artikel
43 DeepRice: A deep learning and deep feature based classification of Rice leaf disease subtypes Ritharson, P. Isaac
C p. 34-49
 artikel
44 Design and testing of the mechanical picking function of a high-speed seedling auto-transplanter Han, Changjie
C p. 64-71
 artikel
45 Design of a 4 DOF parallel robot arm and the firmware implementation on embedded system to transplant pot seedlings K., Rahul
C p. 172-183
 artikel
46 Detecting broiler chickens on litter floor with the YOLOv5-CBAM deep learning model Guo, Yangyang
C p. 36-45
 artikel
47 Developing a multi-label tinyML machine learning model for an active and optimized greenhouse microclimate control from multivariate sensed data Ihoume, Ilham
C p. 129-137
 artikel
48 Development and evaluation of temperature-based deep learning models to estimate reference evapotranspiration Singh, Amninder
C p. 61-75
 artikel
49 Development, evaluation, and optimization of an automated device for quality detection and separation of cowpea seeds Audu, J.
C p. 240-251
 artikel
50 Development of a metering mechanism with serial robotic arm for handling paper pot seedlings in a vegetable transplanter Paradkar, Vikas
C p. 52-63
 artikel
51 Development of embedded automatic transplanting system in seedling transplanters for precision agriculture Khadatkar, Abhijit
C p. 175-184
 artikel
52 Disease detection, severity prediction, and crop loss estimation in MaizeCrop using deep learning Kundu, Nidhi
C p. 276-291
 artikel
53 Durum wheat yield forecasting using machine learning Chergui, Nabila
C p. 156-166
 artikel
54 Early stage detection of Downey and Powdery Mildew grape disease using atmospheric parameters through sensor nodes Sanghavi, Kainjan
C p. 223-232
 artikel
55 Effect and economic benefit of precision seeding and laser land leveling for winter wheat in the middle of China Chen, Jing
C p. 1-9
 artikel
56 Effects of intelligent feeding method on the growth, immunity and stress of juvenile Micropterus salmoides Wei, Dan
C p. 118-124
 artikel
57 Enhanced detection algorithm for apple bruises using structured light imaging Zhu, Haojie
C p. 50-60
 artikel
58 Erratum regarding missing Declaration of Competing Interest statements in previously published articles
C p. 301-302
 artikel
59 Erratum regarding missing Declaration of Competing Interest statements in previously published articles
C p. 304
 artikel
60 Erratum regarding missing Declaration of Competing Interest statements in previously published articles
C p. 303
 artikel
61 Estimation of morphological traits of foliage and effective plant spacing in NFT-based aquaponics system Abbasi, R.
C p. 76-88
 artikel
62 Evaluation of model generalization for growing plants using conditional learning Ullah, Hafiz Sami
C p. 189-198
 artikel
63 Evaluation of optimization techniques in predicting optimum moisture content reduction in drying potato slices Onu, Chijioke Elijah
C p. 39-47
 artikel
64 Examining the interplay between artificial intelligence and the agri-food industry Rejeb, Abderahman
C p. 111-128
 artikel
65 Explainable artificial intelligence and interpretable machine learning for agricultural data analysis Ryo, Masahiro
C p. 257-265
 artikel
66 Feature aggregation for nutrient deficiency identification in chili based on machine learning Rahadiyan, Deffa
C p. 77-90
 artikel
67 Few-shot learning for biotic stress classification of coffee leaves Tassis, Lucas M.
C p. 55-67
 artikel
68 Freeform path fitting for the minimisation of the number of transitions between headland path and interior lanes within agricultural fields Graf Plessen, Mogens
C p. 233-239
 artikel
69 Fruit ripeness classification: A survey Rizzo, Matteo
C p. 44-57
 artikel
70 Fusion of machine vision technology and AlexNet-CNNs deep learning network for the detection of postharvest apple pesticide residues Jiang, Bo
C p. 1-8
 artikel
71 GxENet: Novel fully connected neural network based approaches to incorporate GxE for predicting wheat yield Jubair, Sheikh
C p. 60-76
 artikel
72 Harvest optimization for sustainable agriculture: The case of tea harvest scheduling Sarımehmet, Bedirhan
C p. 35-45
 artikel
73 Hierarchical approach for ripeness grading of mangoes Raghavendra, Anitha
C p. 243-252
 artikel
74 How artificial intelligence uses to achieve the agriculture sustainability: Systematic review Sachithra, Vilani
C p. 46-59
 artikel
75 Identification of maize (Zea mays L.) progeny genotypes based on two probabilistic approaches: Logistic regression and naïve Bayes Seka, D.
C p. 9-13
 artikel
76 Identification of various food residuals on denim based on hyperspectral imaging system and combination optimal strategy Chen, Yuzhen
C p. 125-132
 artikel
77 Identifying associations between epidemiological entities in news data for animal disease surveillance Valentin, Sarah
C p. 163-174
 artikel
78 Image classification of lotus in Nong Han Chaloem Phrakiat Lotus Park using convolutional neural networks Phattaraworamet, Thanawat
C p. 23-33
 artikel
79 Image processing algorithms for in-field cotton boll detection in natural lighting conditions Singh, Naseeb
C p. 142-156
 artikel
80 Image processing based real-time variable-rate chemical spraying system for disease control in paddy crop Tewari, V.K.
C p. 21-30
 artikel
81 Implementation of artificial intelligence in agriculture for optimisation of irrigation and application of pesticides and herbicides Talaviya, Tanha
C p. 58-73
 artikel
82 Improvement of energy efficiency and environmental impacts of rainbow trout in Iran Elhami, Behzad
C p. 13-27
 artikel
83 Improving the non-destructive maturity classification model for durian fruit using near-infrared spectroscopy Ditcharoen, Sirirak
C p. 35-43
 artikel
84 Inaugural Editorial
C p. A1-A2
 artikel
85 Interpreting atomization of agricultural spray image patterns using latent Dirichlet allocation techniques Li, Hongfei
C p. 253-261
 artikel
86 Land suitability analysis for maize production using geospatial technologies in the Didessa watershed, Ethiopia Moisa, Mitiku Badasa
C p. 34-46
 artikel
87 Leguminous seeds detection based on convolutional neural networks: Comparison of Faster R-CNN and YOLOv4 on a small custom dataset Ouf, Noran S.
C p. 30-45
 artikel
88 Lightweight convolutional neural network models for semantic segmentation of in-field cotton bolls Singh, Naseeb
C p. 1-19
 artikel
89 Low-cost livestock sorting information management system based on deep learning Pan, Yuanzhi
C p. 110-126
 artikel
90 Machine learning-based spectral and spatial analysis of hyper- and multi-spectral leaf images for Dutch elm disease detection and resistance screening Wei, Xing
C p. 26-34
 artikel
91 Machine learning for weed–plant discrimination in agriculture 5.0: An in-depth review Juwono, Filbert H.
C p. 13-25
 artikel
92 Machine learning in nutrient management: A review Ennaji, Oumnia
C p. 1-11
 artikel
93 Mango internal defect detection based on optimal wavelength selection method using NIR spectroscopy Raghavendra, Anitha
C p. 43-51
 artikel
94 Modeling and optimization of Terminalia catappa L. kernel oil extraction using response surface methodology and artificial neural network Agu, Chinedu Matthew
C p. 1-11
 artikel
95 Modeling the energy gain reduction due to shadow in flat-plate solar collectors; Application of artificial intelligence Taki, Morteza
C p. 185-195
 artikel
96 Nondestructive determining the soluble solids content of citrus using near infrared transmittance technology combined with the variable selection algorithm Tian, Xi
C p. 48-57
 artikel
97 Non-destructive silkworm pupa gender classification with X-ray images using ensemble learning Thomas, Sania
C p. 100-110
 artikel
98 Non-destructive thermal imaging for object detection via advanced deep learning for robotic inspection and harvesting of chili peppers Hespeler, Steven C.
C p. 102-117
 artikel
99 Nutrient optimization for plant growth in Aquaponic irrigation using Machine Learning for small training datasets Dhal, Sambandh Bhusan
C p. 68-76
 artikel
100 Optical non-destructive techniques for small berry fruits: A review Li, Shuping
C p. 85-98
 artikel
101 Optimization techniques in deep convolutional neuronal networks applied to olive diseases classification Raouhi, El Mehdi
C p. 77-89
 artikel
102 Optimizing the seed-cell filling performance of an inclined plate seed metering device using integrated ANN-PSO approach Pareek, C.M.
C p. 1-12
 artikel
103 Plant disease detection using hybrid model based on convolutional autoencoder and convolutional neural network Bedi, Punam
C p. 90-101
 artikel
104 Precise in-situ characterization and cross-validation of the electromagnetic properties of a switched reluctance motor Ling, Xiao
C p. 74-80
 artikel
105 Predicting the true density of commercial biomass pellets using near-infrared hyperspectral imaging Pitak, Lakkana
C p. 266-275
 artikel
106 Prediction and data mining of burned areas of forest fires: Optimized data matching and mining algorithm provides valuable insight Wood, David A.
C p. 24-42
 artikel
107 Prediction of exchangeable potassium in soil through mid-infrared spectroscopy and deep learning: From prediction to explainability Albinet, Franck
C p. 230-241
 artikel
108 Predictive modeling for wine authenticity using a machine learning approach da Costa, Nattane Luíza
C p. 157-162
 artikel
109 Principles, developments and applications of laser-induced breakdown spectroscopy in agriculture: A review Yu, Keqiang
C p. 127-139
 artikel
110 Proximal detecting invertebrate pests on crops using a deep residual convolutional neural network trained by virtual images Liu, Huajian
C p. 13-23
 artikel
111 Real-time hyperspectral imaging for the in-field estimation of strawberry ripeness with deep learning Gao, Zongmei
C p. 31-38
 artikel
112 Real-time litchi detection in complex orchard environments: A portable, low-energy edge computing approach for enhanced automated harvesting Jiao, Zeyu
C p. 13-22
 artikel
113 Recent advances in emerging techniques for non-destructive detection of seed viability: A review Xia, Yu
C p. 35-47
 artikel
114 Reducing deep learning network structure through variable reduction methods in crop modeling Saravi, Babak
C p. 196-207
 artikel
115 Reliable execution of a robust soft computing workplace found on multiple neuro-fuzzy inference systems coupled with multiple nonlinear equations for exhaustive perception of tractor-implement performance in plowing process Shafaei, S.M.
C p. 38-84
 artikel
116 Retrieval of flower videos based on a query with multiple species of flowers Jyothi, V.K.
C p. 262-277
 artikel
117 Review of agricultural IoT technology Xu, Jinyuan
C p. 10-22
 artikel
118 Rice disease identification method based on improved CNN-BiGRU Lu, Yang
C p. 100-109
 artikel
119 Study on body temperature detection of pig based on infrared technology: A review Zhang, Zaiqin
C p. 14-26
 artikel
120 Succinylation improves the slowly digestible starch fraction of cardaba banana starch. A process parameter optimization study Olawoye, Babatunde
C p. 219-228
 artikel
121 Transfer Learning for Multi-Crop Leaf Disease Image Classification using Convolutional Neural Network VGG Paymode, Ananda S.
C p. 23-33
 artikel
122 t-SNE: A study on reducing the dimensionality of hyperspectral data for the regression problem of estimating oenological parameters Silva, Rui
C p. 58-68
 artikel
123 Using an improved lightweight YOLOv8 model for real-time detection of multi-stage apple fruit in complex orchard environments Ma, Baoling
C p. 70-82
 artikel
124 Vision Intelligence for Smart Sheep Farming: Applying Ensemble Learning to Detect Sheep Breeds Himel, Galib Muhammad Shahriar
C p. 1-12
 artikel
125 Will digital solution transform Sub-Sahara African agriculture? Kudama, Gezahagn
C p. 292-300
 artikel
126 Worldwide trends in the scientific production of literature on traceability in food safety: A bibliometric analysis Sinha, Aditya
C p. 252-261
 artikel
127 Yield performance estimation of corn hybrids using machine learning algorithms Babaie Sarijaloo, Farnaz
C p. 82-89
 artikel
                             127 gevonden resultaten
 
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