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Author

Anand Kumar Jain

Observed names: Jain, Anand kumar, anand Kumar jain
ORCID: 0009-0004-7184-8479
Observed ORCID: 0009-0004-7184-8479
OpenAlex ID: A5044076088
Multi-Disease Detection and Classification of Sugarcane Leaves using Transfer Learning
2024 · Anand Kumar Jain, Shivam Sharma, et al. · International Conference on Soft Computing & Machine Intelligence (ISCMI) · 8
MDTACNet: MobileNet-DenseNet and Transformer Attention Hybrid Network for Multi-crop and Multi-disease Classification
2025 · Anand Kumar Jain, Neeta Nain · Lecture notes in computer science · 3
Disease Detection and Classification of Rice Leaves Using Transfer Learning with Concatenate
2026 · Anand Kumar Jain, Dakshita Sharma, et al. · Communications in computer and information science · 2
Hybrid Deep Learning Framework for Cashew Leaf Disease Classification Using Model Concatenation
2025 · Anand Kumar Jain, Neeta Nain · Technoarete Transactions on Advances in Computer Applications · 2
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MDSA2CNet: a self-attention-based hybrid deep learning model for disease detection in sugarcane and rice crops
2026 · Anand Kumar Jain, Neeta Nain · Soft Computing
MoTANet: A Hybrid MobileNetV2–Transformer Attention Network for Multi-crop Disease Classification
2026 · Anand Kumar Jain, Anadi Jain, et al. · Communications in computer and information science
A Novel Multi Class Real World Fruit and Leaf Disease Image Dataset for Crop Health Analysis
2026 · Anand Kumar Jain, Anadi Jain, et al. · Research Square
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A Comprehensive Image Dataset of Fruit and Leaf Diseases Across Six Horticultural Crops for Deep Learning Applications
2026 · anand Kumar jain, Neeta Nain · Research Square
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Detection and Classification of Cassava Diseases Using Concatenate Model
2026 · Anand Kumar Jain, Neeta Nain · Springer eBooks
Chilli-Papaya MCMD dataset
2025 · Jain, Anand kumar, Nain, Neeta, et al. · Mendeley Data
Multi crop Chilli and Rice Diseases Classification using Multi Concatenate of Models
2025 · Anand Kumar Jain, Konduru Harshavardhan, et al. · International Conference on Soft Computing & Machine Intelligence (ISCMI)
Works count: 11
Citation count: 15
H-index: 2
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