Research graph
References from Digitized visual measurement system using MobileNetV2-CBAM for automated sapota quality grading. Local targets link to admitted publications; unresolved targets remain external evidence.
Modern smart sensing technologies in the fruit supply chain: contributions, challenges, and future prospects
10.1016/j.tifs.2025.105108 · 2025 · External reference
Advancing post-harvest fruit handling through AI-based thermal imaging: applications, challenges, and future trends
10.1007/s44187-023-00068-2 · 2023 · External reference
Postharvest biology and technology of sapota: a concise review
10.1007/s11738-014-1696-4 · 2014 · External reference
10.1016/j.meadig.2025.100012 · 2025 · Admitted local publication
Attention induced multi-head convolutional neural network for human activity recognition
10.1016/j.asoc.2021.107671 · 2021 · External reference
Convolutional neural network-vision transformer architecture with gated control mechanism and multi-scale fusion for enhanced pulmonary disease classification
10.3390/diagnostics14242790 · 2024 · External reference
Evaluation of state-of-the-art deep learning techniques for plant disease and pest detection
10.32604/cmc.2025.065250 · 2025 · External reference
10.3390/s22207965
10.3390/s22207965 · External reference
Precision agriculture in the age of AI: a systematic review of machine learning methods for crop disease detection
2025 · External reference
A review of external quality inspection for fruit grading using CNN models
2024 · External reference
SapotaNet: paving the way for efficient deep learning with lightweight network architecture
10.53898/josse2025520 · 2025 · External reference
Integrating biological and machine intelligence: attention mechanisms in brain-computer interfaces
10.1016/j.inffus.2025.103417 · 2026 · External reference
Squeeze-and-excitation networks
10.1109/tpami.2019.2913372 · 2020 · External reference
Performance of vision transformer and swin transformer models for lemon quality classification in fruit juice factories
10.1007/s00217-024-04537-5 · 2024 · External reference
10.1007/978-981-97-3601-0_14
10.1007/978-981-97-3601-0_14 · External reference
10.3390/agriengineering7090286
10.3390/agriengineering7090286 · External reference
Sustainable deep vision systems for date fruit quality assessment using attention-enhanced deep learning models
10.3389/fpls.2025.1521508 · 2025 · External reference
10.3390/s25051524
10.3390/s25051524 · External reference
Canned apple fruit freshness detection using hybrid convolutional neural network and transfer learning
10.1155/jfq/8522400 · 2025 · External reference
Detection of fruit ripeness and defectiveness using convolutional neural networks
2024 · External reference
Classifying healthy and defective fruits with a multi-input architecture and CNN models
2024 · External reference
Agricultural development driven by the digital economy: improved EfficientNet vegetable quality grading
10.3389/fsufs.2024.1310042 · 2024 · External reference
Attention-aware CNN for fruit image classification
10.54097/hset.v38i.5806 · 2023 · External reference
A deep CNN approach to detect and classify local fruits through a web interface
2023 · External reference
10.1155/2022/9210947
10.1155/2022/9210947 · External reference
Improved classification approach for fruits and vegetables freshness based on deep learning
10.3390/s22218192 · 2022 · External reference
A cross-domain fruit classification method based on lightweight attention networks and unsupervised domain adaptation
10.1007/s40747-022-00955-8 · 2023 · External reference
Machine vision system: a tool for quality inspection of food and agricultural products
10.1007/s13197-011-0321-4 · 2012 · External reference
Advances in machine vision applications for automatic inspection and quality evaluation of fruits and vegetables
10.1007/s11947-010-0411-8 · 2011 · External reference
1-MCP treatment preserves aroma quality of ‘Packham’s Triumph’ pears during long-term storage
10.1016/j.postharvbio.2006.06.003 · 2006 · External reference
NIR spectroscopy coupled with multivariate computational tools for qualitative characterization of the aging of beer
10.1016/j.compag.2013.10.001 · 2014 · External reference
Deep learning in agriculture: a survey
10.1016/j.compag.2018.02.016 · 2018 · External reference
A comparative study of fine-tuning deep learning models for plant disease identification
10.1016/j.compag.2018.03.032 · 2019 · External reference
An in-field automatic wheat disease diagnosis system
10.1016/j.compag.2017.09.012 · 2017 · External reference
Deep neural networks based recognition of plant diseases by leaf image classification
2016 · External reference
{E}fficient{N}et: rethinking model scaling for convolutional neural networks
2019 · External reference
MobileNetV2: inverted residuals and linear bottlenecks
2018 · External reference
Editorial
10.1016/j.patrec.2019.03.005 · 2019 · External reference
An image is worth 16 x 16 words :
2021 · External reference
Using lightweight deep learning algorithm for real-time detection of apple flowers in natural environments
10.1016/j.compag.2023.107765 · 2023 · External reference
A transformer-based approach empowered by a self-attention technique for semantic segmentation in remote sensing
10.1016/j.heliyon.2024.e29396 · 2024 · External reference
ECA-Net: efficient channel attention for deep convolutional neural networks
2020 · External reference
Poly kernel inception network for remote sensing detection
2024 · External reference
Coordinate attention for efficient mobile network design
2021 · External reference
Vision Mamba: a comprehensive survey and taxonomy
2025 · External reference
Robust crop disease detection using multi-domain data augmentation and isolated test-time adaptation
10.1016/j.eswa.2025.127324 · 2025 · External reference
Unresolved reference
External reference
Comprehensive analysis of fruit variety classification: techniques, challenges, and application
10.1016/j.procs.2025.04.260 · 2025 · External reference
Dedicated dataset of Sapota (Manilkara Zapota) fruit for machine vision applications
10.1016/j.dib.2025.111896 · 2025 · External reference
An introduction to ROC analysis
10.1016/j.patrec.2005.10.010 · 2006 · External reference
Dropout: a simple way to prevent neural networks from overfitting
2014 · External reference
Batch normalization: accelerating deep network training by reducing internal covariate shift
2015 · External reference
Brain tumor segmentation based on deep learning and an attention mechanism using MRI multi-modalities brain images
10.1038/s41598-021-90428-8 · 2021 · External reference
