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1

Fungus Detection and Identification using Computer Vision Techniques and Convolution Neural Networks
Nair, Ajish ; Manomohan, Nija K ; Reddy, Hrishikesh ; et al.
2021 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON) Smart Generation Computing, Communication and Networking (SMART GENCON), 2021 International Conference on. :1-6 Oct, 2021

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2

Deep Learning Based Techniques for Corn Plant Disease Detection Using UAV Imagery
Nimmagadda, Sai Varun ; Jammula, Tej Mahanth ; Kona, Chandra Naga Sai Manikanta ; et al.
2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) Computing Communication and Networking Technologies (ICCCNT), 2024 15th International Conference on. :1-9 Jun, 2024

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3

Rice Leaf Disease Detection Using Deep Learning Models: A Comprehensive Approach
Ramya, Gorli ; Vatsavayi, Valli Kumari
2025 3rd International Conference on Disruptive Technologies (ICDT) Disruptive Technologies (ICDT), 2025 3rd International Conference on. :49-53 Mar, 2025

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4

Detection of Late Blight Disease in Tomato Leaf Using Image Processing Techniques
Farooq, Muhammad Shoaib ; Arif, Tabir ; Riaz, Shamyla

Computer Science - Compu... Computer Science - Machi...
Report
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5

A comprehensive review on detection of plant disease using machine learning and deep learning approaches
Jackulin, C ; Murugavalli, S.
In Measurement: Sensors December 2022 24

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6

Ultrafast on-site adulteration detection and quantification in Asian black truffle using smartphone-based computer vision
Wang, Xiao-Zhi ; Yang, De-Huan ; Yan, Zhan-Peng ; et al.
In Talanta 1 June 2025 288

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7

AgriTL-ViT: A Vision Transformer model with attention techniques for classification of plant leaf disease
Srivastava, Meenakshi ; Sisaudia, Varsha ; Meena, Jasraj
In Expert Systems With Applications 15 December 2025 294

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8

Application of deep convolutional neural networks for the detection of anthracnose in olives using VIS/NIR hyperspectral images
Fazari, Antonio ; Pellicer-Valero, Oscar J. ; Gómez-Sanchıs, Juan ; et al.
In Computers and Electronics in Agriculture August 2021 187

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9

Exploiting Convolutional Neural Network for Automatic Fungus Detection in Microscope Images
Prommakhot, Anuruk ; Srinonchat, Jakkree
2020 8th International Electrical Engineering Congress (iEECON) Electrical Engineering Congress (iEECON), 2020 8th International. :1-4 Mar, 2020

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10

An Automated and Fine- Tuned Image Detection and Classification System for Plant Leaf Diseases
Amritraj, Shoibam ; Hans, Nitish ; Diana Cyril, C. Pretty
2023 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI) Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI), 2023 International Conference on. :1-5 Apr, 2023

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11

Fungus Detection Using Computer Vision and Machine Learning Techniques ; Pilzerkennung mit Bildverarbeitung und maschinellem Lernen
Tahir, Muhammad Waseem ; Lang, Walter ; Herzog, Otthein

Fungus Detection Mold Detection Optical Sensor System Deep Learning Machine Learning Computer Vision …
Dissertation
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12

Early Detection of Coffee Leaf Rust Through Convolutional Neural Networks Trained on Low-Resolution Images
Cabrera, Angelly ; Avramidis, Kleanthis ; Narayanan, Shrikanth

Computer Science - Compu... Computer Science - Machi...
Report
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13

Using Novel Optimized Deep Learning Techniques for Detecting Fungal Infections in Hazelnuts Kernels Based on Shell Color Changes.
Farahani, Mehdi ; Bagherpour, Hossein ; Zhang, Chu
Journal of Food Quality. 7/9/2025, Vol. 2025, p1-12. 12p.

CONVOLUTIONAL neural net... HAZELNUTS ANALYSIS of colors DEEP learning FUNGAL diseases of plant... IMAGE recognition (Compu...
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14

Detection and Classification of Plant Stress Using Hybrid Deep Convolution Neural Networks: A Multi-Scale Vision Transformer Approach.
Thokala, Bhargavi ; Doraikannan, Sumathi
Traitement du Signal. Dec2023, Vol. 40 Issue 6, p2635-2647. 13p.

TRANSFORMER models CONVOLUTIONAL neural net... PLANT classification COMPUTER vision DEEP learning INDIA
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15

Segmentation of wheat scab fungus spores based on CRF_ResUNet++
Zhang, Dongyan ; Zhang, Wenhao ; Cheng, Tao ; et al.
In Computers and Electronics in Agriculture January 2024 216

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16

A Fungus Spores Dataset and a Convolutional Neural Network Based Approach for Fungus Detection
Tahir, M.W. ; Zaidi, N.A. ; Rao, A.A. ; et al.
IEEE Transactions on NanoBioscience IEEE Trans.on Nanobioscience NanoBioscience, IEEE Transactions on. 17(3):281-290 Jul, 2018

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17

Chapter 8 - Sustainable plant disease protection using machine learning and deep learning
Mathur, Kartavya ; Sharma, Eti ; Gaur, Nisha
In Hyperautomation in Precision Agriculture 2025:81-96

Buch
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18

Plant Leaf Disease Detection, Classification, and Diagnosis Using Computer Vision and Artificial Intelligence: A Review
Bhargava, A. ; Shukla, A. ; Goswami, O.P. ; et al.
IEEE Access Access, IEEE. 12:37443-37469 2024

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19

Pneumonia Detection in Chest X-rays using CNN
Chothani, Aaryan ; Khemani, Bharti ; Malave, Sachin ; et al.
2024 3rd International Conference for Innovation in Technology (INOCON) Innovation in Technology (INOCON), 2024 3rd International Conference for. :1-4 Mar, 2024

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20

Detection of Leaf Diseases in Agricultural Plants Using Machine Learning
Kholiya, Deepak ; Mishra, Amit Kumar ; Dumka, Ankur ; et al.
2023 International Conference on Computer, Electronics & Electrical Engineering & their Applications (IC2E3) Computer, Electronics & Electrical Engineering & their Applications (IC2E3), 2023 International Conference on. :1-7 Jun, 2023

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