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Machine Learning for Plant Biology (eBook)

Jen-Tsung Chen (Herausgeber)

eBook Download: EPUB
2025
967 Seiten
Wiley (Verlag)
9781394329625 (ISBN)

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A comprehensive and current summary of machine learning-based strategies for constructing digital plant biology

Machine Learning for Plant Biology provides a comprehensive summary of the latest developments in machine learning (ML) technologies, emphasizing their role in analyzing complex biological networks of plants and in modeling the responses of major crops to biotic and abiotic stresses. The combinatorial strategies discussed in this book enable readers to further their understanding of plant biology, stress physiology, and protection.

Machine Learning for Plant Biology includes information on:

  • Intelligent breeding for stress-resistant and high-yield crops, contributing to sustainable agriculture, the Sustainable Development Goals (SDGs), and the Paris Agreement
  • Interactions between plants, pathogens, and environmental stresses through omics approaches, functional genomics, genome editing, and high-throughput technologies
  • State-of-the-art AI tools, including machine and deep learning models, as well as generative AI
  • Applications include species identification, systems biology, functional genomics, genomic selection, phenotyping, synthetic biology, spatial omics, plant disease diagnosis and protection, and plant secondary metabolism

Machine Learning for Plant Biology is an essential reference on the subject for scientists, plant biologists, crop breeders, and students interested in the development of sustainable agriculture in the face of a changing global climate.

JEN-TSUNG CHEN is a Professor of Cell Biology at the Department of Life Sciences, National University of Kaohsiung, Taiwan, where he teaches courses on cell biology, genomics, proteomics, plant physiology, and plant biotechnology. His research interests include bioactive compounds, chromatography techniques, plant molecular biology, plant biotechnology, bioinformatics, and systems pharmacology. In 2023 and 2024, Elsevier and Stanford University recognized Dr. Chen as one of the 'World's Top 2% Scientists'.

List of Contributors


N. Abinesh

Hindusthan College of Arts & Science, Coimbatore, India

Arunachalam Abitha

Department of Human Genetics and Molecular Biology, Bharathiar University, Coimbatore, Tamil Nadu, India

Boris Adam

INRAE Centre Clermont-Auvergne-Rhône-Alpes, Clermont-Ferrand, France

Sarfraz Ahmad

Department of Genetics and Plant Breeding, College of Agriculture Mandawa, Swami Keshwanand Rajasthan Agriculture University, Bikaner, Rajasthan, India

Eman A. Ahmed

Department of Community Organization, Faculty of Social Work, Assiut University, Assiut, Egypt

Arumugam Vijaya Anand

Department of Human Genetics and Molecular Biology, Bharathiar University, Coimbatore, Tamil Nadu, India

Jeyabal Philomenathan Antony Prabhu

Department of Human Genetics and Molecular Biology, Bharathiar University, Coimbatore, Tamil Nadu, India

Esakkimuthu Balaji

Sudha Fertility Hospital, Hyderabad, Telangana, India

Vikas Belwal

Department of Tree Improvement, College of Forestry Ranichauri, VCSG Uttarakhand University of Horticulture and Forestry, Bharsar, Uttarakhand, India

Vadivelu Bharathi

Department of Biochemistry, Thanthai Periyar Government College, Tiruchirappalli, Tamil Nadu, India

Natasha Charaya

Department of Biotechnology, Guru Jambheshwar University of Science & Technology (GJUS&T) Hisar, Haryana, India

Ankan Das

Palli Siksha Bhavana (Institute of Agriculture), Visva-Bharati University, Sriniketan, West Bengal, India

Soumya Shephalika Dash

Institute of Agriculture, Visva-Bharati, Sriniketan, West Bengal, India

Juel Debnath

College of Agriculture, Kerala Agricultural University, Thiruvananthapuram, Kerala, India

Sandip Debnath

Department of Genetics and Plant Breeding, Institute of Agriculture, Visva-Bharati University, Sriniketan, Birbhum, West Bengal, India

Nathan Drogue

INRAE Centre Clermont-Auvergne-Rhône-Alpes, Clermont-Ferrand, France

Haragopal Dutta

Division of Genetics, ICAR- Indian Agricultural Research Institute, New Delhi, India

Suman Dutta

School of Agriculture and Rural Development, Ramakrishna Mission Vivekananda Educational and Research Institute, Belur Math, Howrah, West Bengal, India

Atef M. El-Sagheer

Agricultural Zoology and Nematology Department, Faculty of Agriculture, Al-Azhar University, Assiut, Egypt

Julien Garnier

Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS), UMR INRAe-IRHS, Université d’Angers, Angers, France

Shanmugam Gavaskar

Department of Computer Application, Bharathiar University, Coimbatore, Tamil Nadu, India

Subhadwip Ghorai

Department of Agriculture, Brainware University, Barasat, Kolkata, West Bengal, India

Mohamed M.M. Hamd

Foundations of Education, Faculty of Education, Assiut University, Assiut, Egypt

Shanmugasundaram Hariharan

Department of Artificial Intelligence and Data Science, Vardhaman College of Engineering, India

Soham Hazra

Department of Agriculture, Brainware University, Barasat, Kolkata, West Bengal, India

Shimi Jose

Hawkesbury Institute for the Environment, Western Sydney University, Richmond, Australia

Kalaichelvi Kalaignan

Department of Agronomy, Krishi Vigyan Kendra, Virdhachalam, India

Monika Kalia

Department of Entomology, Dr YS Parmar University of Horticulture & Forestry, COH & F, Neri, Hamirpur (HP), India

Sonika Kalia

Department of Biotechnology, School of Applied and Life Sciences, Uttaranchal University, Dehradun, India

Annasamy Kaliyan

Department of Horticulture, Pushkaram College of Agriculture Sciences, Pudukkottai, India

Sahely Kanthal

Department of Agriculture, Brainware University, Barasat, Kolkata, West Bengal, India

Rubina Khan

Department of Genetics and Plant Breeding, Sri Karan Narendra College of Agriculture Jobner, Sri Karan Narendra Agriculture University, Jobner, Rajasthan, India

Pankaj Kumar

Department of Crop Improvement, College of Forestry Ranichauri, VCSG Uttarakhand University of Horticulture and Forestry, Bharsar, Uttarakhand, India

Sudhir Kumar

Division of Plant Physiology, ICAR-IARi, New Delhi, India

Shilpi Kumari

Department of Biotechnology, School of Applied and Life Sciences, Uttaranchal University, Dehradun, India

Karthiba Loganathan

Department of Plant Pathology, Tamil Nadu Agricultural University, Coimbatore, India

Ramasamy Manikandan

Department of Biochemistry, Shrimati Indira Gandhi College, Tiruchirappalli, Tamil Nadu, India

Mani Manoj

Department of Human Genetics and Molecular Biology, Bharathiar University, Coimbatore, Tamil Nadu, India

Jeya Rani Maria Michael

Department of Agronomy, Pushkaram College of Agriculture Sciences, Pudukkottai, India

Sanjay Mochary

Department of Agriculture, Brainware University, Barasat, Kolkata, West Bengal, India

Sneha Mohan

College of Agriculture, Kerala Agricultural University, Thiruvananthapuram, Kerala, India

Rajdeep Mohanta

Department of Agriculture, Brainware University, Barasat, Kolkata, West Bengal, India

Sucharita Mohapatra

College of Agriculture, Odisha University of Agriculture and Technology, Bhubaneswar, Odisha, India

Thamaraiselvan Nandhini Devi

Department of Biomedical Engineering, Selvam College of Technology, Namakkal, Tamil Nadu, India

Gyanisha Nayak

Crop Improvement Division, ICAR-National Rice Research Institute, Cuttack, Odisha, India

Sahfigul Ameed Nihaal Fathima

Department of Human Genetics and Molecular Biology, Bharathiar University, Coimbatore, Tamil Nadu, India

Ehsas Pachauri

Department of Genetics and Plant Breeding, IARI-Central Arid Zone Research Institute, Jodhpur, India

Murali Sankar Perumal

Department of Plant Pathology, Pushkaram College of Agriculture Sciences, Pudukkottai, India

Anantha Raju Pokkaru

Department of Plant Breeding and Genetics, Cotton Research Station, Veppanthattai, India

Sourish Pramanik

Department of Plant Pathology, Punjab Agricultural University, Ludhiana, Punjab, India; Ethophilia Research Foundation, Santiniketan, West Bengal, India

Mohammad Ghani Raghib

Department of Horticulture, Faculty of Agriculture, Nangarhar University, Afghanistan

Mehdi Rahimi

Department of Biotechnology, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran

Mehjebin Rahman

College of Agriculture, Assam Agricultural University, Assam, India

Krishna Kumar Rai

Department of Biotechnology, Amity School of Biological Sciences, Amity University Punjab, Mohali, Punjab, India

Pejman Rasti

Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS), UMR INRAe-IRHS, Université d’Angers, Angers, France

Indra Rautela

Department of Biotechnology, School of Applied and Life Sciences, Uttaranchal University, Dehradun, India

Simon Ravé

Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS), UMR INRAe-IRHS, Université d’Angers, Angers, France

Raveena Ravi

Department of Environmental Sciences, Tamil Nadu Agricultural University, Coimbatore,...

Erscheint lt. Verlag 17.11.2025
Sprache englisch
Themenwelt Naturwissenschaften Biologie Botanik
Schlagworte machine learning agriculture • machine learning biology • machine learning ecology • machine learning genes • machine learning genome • machine learning genomics • machine learning phenotype • machine learning rna sequence
ISBN-13 9781394329625 / 9781394329625
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