1. Deep Learning: Technical Advancements and Applications in Plant Biology and Agriculture
Jemaa Esseminea, Zhan Xuc, Mokhtar Guerfeld, Yogesh K. Ahlawate, Jen-Tsung Chen, and Mingnan Qu
2. AI Models for Advancing Plant Genetics and Genetic Engineering
Subhadwip Ghorai, Suvojit Bose, Ankur Mukhopadhyay, and Soham Hazra
3. Harnessing Artificial Intelligence for Precision and Efficiency in Plant Genome Editing
Sadhana Giri, Rishita Srivastava, and Verinder Virk
4. AI Models for Advancing Plant Phenotyping and Phenomics
Elshan Musazade, Samra Mirzayev, Nargiz Bayramova, and Xianzhong Feng
5. AI Models for Studying Plant Metabolomics
Rahul Gogoi, Bhoirob Gogoi, Ishani Borthakur, Fung Swrangshee Daimari, Khomdram Niren Singh, Sudin Kumar Pandey, Priya Thakuria, and Madhumita Barooah
6. AI Models in Studying Plant Epigenetics
H. S. Sowmya, and N. U. Vinod
7. AI Models for Plant Systems Biology
Mani Manoj, Suhana Salim, Ponnusamy Vijay Krishna, Surendran Suthika, Jeyabal Philomenathan Antony Prabhu, Maria Jerline Babu, Govindraj Akilandeswari, and Arumugam Vijaya Anand
8. AI Models for Advancing Plant Tissue Culture and Bioreactors
Ajithan Chandrasekaran, Magdalin Sylvia Singarayar, Ashwini Talakayala, Manickavasagam Markandan, and Geung-Joo Lee
9. AI Models for Advancing Secondary Metabolite Production
Supreeth Holenarasipura Subramanya, and Praveen Nagella
10. AI Models in Plant Bioinformatics and Computational Biology
Aritabha Kole, Ankan Das, Kommula Uday, Sandip Debnath, Ayanabha Kole, Gyana Ranjan Mohanty, and Amitava Paul
11. AI Models for Plant Genomic Selection and Crop Breeding
Ranjana Patial, and Rajendra Kumar
12. AI Models for Advancing Plant Nanotechnology
Sabavat Raju Naik, Kasi Rao Mediga, Ajithan Chandrasekaran, Ravi Kiran Reddy Kondi, and Ashwini Talakayala
13. AI Models in Plant Disease Management
Ikram Legrifi, Najwa Seddiqi Kallali, Mohammed Radi, Mohammed Taoussi, Khadija Goura, Abdellatif Boutagayout, Hajar El Hamess, Zineb Belabess, and Rachid Lahlali
14. AI Models for Advancing Plant Abiotic Stress Research
Fatima-Ezzahra Soussani, Chayma Ikan, Fatima Zahra Akensous, Nizar El Mazouni, Rachid Lahlali, and Abdelilah Meddich
15. AI-Driven High-Throughput Phenotyping (HTP): Role in Modern Plant Breeding and Crop Yield Improvement
A. K. M. Aminul Islam, S. Sarkar, T. Anam, F. A. Shraboni, Showkat A. Waza, and Suresh Kadaru
16. Applications of AI and Computational Biology in Horticultural Science
Rahele Ghanbari Moheb Seraj, and Yavar Vafaee
17. Application of Convolutional Neural Network in Plant Research
Moumita Datta, Rashmi Mukherjee, Dhaval Patel, Indrani Paul, Payal Guha, Dwaipayan Sinha, and Shreyashi Datta
18. AI-Powered Framework for Advancing Plant Single-Cell Omics: Unlocking Cellular Heterogeneity and Functional Insights
Kuldeep Giri, and Mayank Aggarwal
19. AI-Model Integration for Predictive and Data-Driven Plant Systems Biology in Climate-Smart Agriculture
Umer Fayaz, Nelofar Lone, Ather Manzoor, Showkat A Waza, and A. K. M. Aminul Islam
20. Integrating AI Models with Synthetic Biology for Plant Epigenetic Regulation
Rahul Gogoi, Bhoirob Gogoi, Ishani Borthakur, Fung Swrangshee Daimari, and Madhumita Barooah
21. Spatial Multi-Omics and AI Approaches for Analyzing Plant Metabolic Pathways
Narmeen Tariq, Ifrah Imran, Muhammad Asif, Imran Amin, and Rubab Zahra Naqvi
22. Unlock Epigenetic Heat Stress Memory in Plants: Molecular Mechanisms and The Emerging Role of Artificial Intelligence
Jaweria Dilshad, Muhamma Sarfraz, Ifrah Imran, Narmeen Tariq, Muhammad Asif, Imran Amin, and Rubab Zahra Naqvi
23. Single-Cell and Spatial Transcriptomics in Plants: Basic Methods and Applications
Elshan Musazade, Samra Mirzayeva, Nargiz Bayramova, Tahmina Taghi-zada, and Xianzhong Feng
24. Ethical Considerations, Limitations, and Challenges for AI Models in Plant Biotechnology
Mani Manoj, Esakkimuthu Balaji, Jeyabal Philomenathan Antony Prabhu, Ramasamy Manikandan, Annamalai Sivaranjini, Govindraj Akilandeswari, Maria Jerline Babu, and Arumugam Vijaya Anand
Biography
Dr. Jen-Tsung Chen is a professor of cell biology at the National University of Kaohsiung in Taiwan. He teaches cell biology, genomics, proteomics, plant physiology, and plant biotechnology. Dr. Chen’s research interests include bioactive compounds, chromatography techniques, plant molecular biology, plant biotechnology, bioinformatics, and systems pharmacology. He is an active editor of academic books and international journals, advancing the exploration of multidisciplinary knowledge in plant physiology, plant biotechnology, nanotechnology, materials science, ethnopharmacology, and systems biology. He serves as an associate editor, editorial board member, and guest editor in reputed journals. Dr. Chen published books in collaboration with international publishers, and he is handling book projects on diverse topics such as AI technologies, drug discovery, drug development, herbal medicine, medicinal biotechnology, nanotechnology, bioengineering, plant functional genomics, plant speed breeding, epigenetics, functional RNAs, and CRISPR-based genome editing. Dr. Chen is a productive author in academic publications and was recognized as one of the World's Top 2% Scientists 2023, 2024, and 2025 by Elsevier and Stanford University. In 2025, Dr. Chen received the Springer Nature Editor of Distinction Award.
