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2026	A Systematic Review of Convolutional Neural Network Models for Tomato Leaf Disease Detection Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi Fiki Sanora, Naufal Hafizh Mufafaq, Shofwatul Uyun
2025	A compact deep learning approach integrating depthwise convolutions and spatial attention for plant disease classification Plant Methods Amreen Batool, Jisoo Kim, Yung-Cheol Byun
2025	2025 International Conference on Software, Telecommunications and Computer Networks (SoftCOM) Mirjana Bonković, Ozana Uvodić, Mojmil Cecić, Ana Kuzmanic Skelin
2025	Deep learning based ensemble model for accurate tomato leaf disease classification by leveraging ResNet50 and MobileNetV2 architectures Scientific Reports Jatin Sharma, Asma A. Al-Huqail, Ahmad Almogren, Hardik Doshi, B. Jayaprakash, B. Bharathi, Ateeq Ur Rehman, Seada Hussen
2025	A Systematic Review of the Current State of Transfer Learning Accelerated CNN-Based Plant Leaf Disease Classification IEEE Access David J. Richter, Md Ilias Bappi, Shivani Sanjay Kolekar, Kyungbaek Kim
2025	YOLOv11-AIU: a lightweight detection model for the grading detection of early blight disease in tomatoes Plant Methods Xiuying Tang, Zhongqing Sun, Linlin Yang, Qin Chen, Zhenglin Liu, Pei Wang, Yonghua Zhang
2025	A Robust Deep Learning Framework for Mitigating Label Noise With Dual Selective Attention IEEE Access Hasnain Hyder, Gulsher Baloch, Amreen Batool, Yong-Woon Kim, Yung-Cheol Byun
2025	DEEP LEARNING APPROACHES IN PRECISION AGRICULTURE: A COMPREHENSIVE REVIEW OF CROP CLASSIFICATION, DISEASE DETECTION, AND WEED DETECTION TECHNIQUES Konya Journal of Engineering Sciences Ahmet Albayrak, Emre Can Kuran, Fatih Kayaalp
2025	A lightweight multi-path convolutional neural network architecture using optimal features selection for multiclass classification of brain tumor using magnetic resonance images Results in Engineering Amreen Batool, Yung-Cheol Byun
2025	Prediction of miRNA-disease associations using a dual-channel contrastive model based on multi-source information fusion PeerJ Computer Science Wenhui Lian, Zhen Tang, Shiyin Li, Chunlin Chen, Zhixiang Yin