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    2. Industrier och branscher
    3. Lantbruk, fiske och skogsbruk

    Maize Agriculture

    Remote Sensing, Artificial Intelligence, and Advance Phenotyping

    AvSheikh Mansoor,Nusret Zencirci

    Häftad, Engelska, 2027

    1 225 kr

    Kommande

    Beskrivning

    As the global population approaches 9 billion, the pressure on agriculture to produce sufficient food will escalate, leading to significant challenges in sustainable food production. Maize Agriculture addresses the urgent need to develop improved maize cultivars grown under advanced technological conditions to combat these future food shortages and nutritional deficiencies. Furthermore, climate change, with its impacts on temperature, precipitation, carbon dioxide levels, and the frequency and severity of extreme weather events, is likely to significantly affect soil water availability, carbon storage, and crop yields. This book digs into these pressing issues, offering an in-depth exploration review of the latest technologies in maize research. This comprehensive resource covers a wide range of topics essential for modern maize agriculture. Beginning with an overview of global maize production, the book progresses through chapters on advanced phenotyping platforms for sustainable maize production. Following that, it explores the integration of genomics and phenomics for maize breeding and the application of AI and machine learning models for genomic trait prediction. Further chapters discuss the use of GIS and global databases for agricultural planning, remote sensing for biotic and abiotic stress monitoring, and advanced AI-based approaches for disease management. Each chapter is carefully structured to provide in-depth insights and practical applications, ensuring a thorough understanding of the subject matter.

    Maize Agriculture is an invaluable resource for upper-level undergraduate students and researcher across various life science and agriculture disciplines, including agriculture, horticulture, botany, biochemistry, and biotechnology. Additionally, maize breeders, agronomists, and agricultural professionals engaged in maize research will find the actionable strategies in this book invaluable. By integrating digital tools with traditional farming practices, this book ensures that readers are prepared for the future of maize agriculture.

    • Provides a comprehensive overview of modern maize agriculture for food security
    • Functions as an essential resource on advanced technologies in maize research
    • Equips upper-level undergraduate students across various life sciences and agriculture disciplines with practical knowledge
    • Addresses the gap in accessible, up-to-date resources on the integration of digital technologies in maize agriculture
    • Explores the integration of genomics and phenomics for transforming maize breeding

    Produktinformation

    • Utgivningsdatum:2027-01-04
    • Mått:191 x 235 x undefined mm
    • Vikt:450 g
    • Format:Häftad
    • Språk:Engelska
    • Antal sidor:400
    • Förlag:Elsevier Science
    • ISBN:9780443450266

    Utforska kategorier

    • Lantbruk, fiske och skogsbruk inom Ekonomi och Ledarskap
    • Biokemisk teknik inom Naturvetenskap och teknik

    Mer om författaren

    Dr. Sheikh Mansoor Shafi currently serves as a postdoctoral researcher at the Phenomics Laboratory within Jeju National University in South Korea. His primary research focuses on high-throughput phenomics, remote sensing and precision agriculture. Prior to this role, he held positions as a Postdoc Research Associate at SKIMS Srinagar and as a Project Associate-I at CSIR-Indian Institute of Integrative Medicine Jammu (IIIM). Throughout his academic journey, Dr. Mansoor has had the opportunity to work in reputed laboratories, including the Transcriptomics Labs at SKUAST Kashmir and the Department of Biotechnology and Pathology at Central Institute of Temperate Horticulture (CITH) Rangreth Srinagar. His educational background comprises a BSc degree from SP College of Science (University of Kashmir), an MSc degree from HNBGU Uttarakhand, and a Ph.D. degree from Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu. Nusret Zencirci is a graduate of the Department of Field Crops, Faculty of Agriculture, Çukurova University. He worked as a wheat breeder at the Central Research Institute for Field Crops in Ankara and served as a national and international coordinator for the country’s national and international wheat programs and for the Türkiye–CIMMYT–ICARDA International Winter Wheat Improvement Program. He is now a professor in the Department of Biology, Faculty of Science and Art, Bolu Abant İzzet Baysal University, Bolu, Türkiye. He sits on the editorial boards of several international journals. With his team, he has bred more than 20 bread and durum wheat cultivars, and he publishes extensively on his research interests, including cereals, biotic and abiotic stresses, plant genetic resources, and wheat breeding. Dr. Bian is a principal investigator in the Frontier Science Center of Molecular Breeding and the Department of Plant Genetics and Breeding at China Agricultural University. He earned his Ph.D. at Rutgers University in 2019, where he studied the mechanism of plant stomatal development in Dr. Juan Dong’s group. He then joined Dr. Siobhan Brady & David Segal’s groups at the University of California, Davis for his postdoc training, where he studied the transcriptional regulation of nitrogen signaling in plants and developing functional genetic tools for crops. In 2023, he joined China Agricultural University as a professor and worked on developing genome editing tools and molecular breeding of high water-efficient and nitrogen-efficient maize. His long-term research interest is to understand the mechanism of plant response to environmental factors, as well as developing tools to improve plant growth and development in adverse environments. Dr. Bian serves as an Assistant Features Editor of The Plant Cell and is a guest editor of a special issue in Genes. Dr. Faheem Shahzad Baloch is working as Professor of plant genetics and breeding Mersin University, Turkey. He received his Ph.D. with a dissertation on ‘QTL mapping in wheat’ from the faculty of agriculture, University of Çukurova, Adana, Turkey in 2012 with a joint fellowship of Turkish ministry of education and Turkish scientific and Technological council of Turkey (TÜBİTAK). In 2013, he started to work as assistant professor at Niğde Ömer Halis Demir University, Niğde Turkey. In 2015, he joined Bolu Abant İzzet Baysal Bolu, Turkey as Assistant professor. In 2018, he was promoted to associate professor in the same institute. In August 2020, he joined Sivas university of science and Technology as associate professor and is currently working as professor in the Mersin university. Dr. Faheem has more than 11 years of teaching and research experience in the plant phenomics, genetics and genomics, biotechnology specially in next generation sequencing (NGS) and DNA molecular markers in plant genetics for germplasm characterization, identification of genomic regions for traits of agricultural interest, development and validation of molecular markers for their use in marker assisted selection, and genomic prediction for plant improvement program particularly cereals and legumes and also for developing strategies for preserving this precious germplasm from Türkiye, which is the hot spot of biodiversity for most of agricultural crops and also thousands of endemic species. He led and participated in many projects funded by national and international organizations. He supervised and co-supervised MSC, PhD and post doc candidates from various countries. He visited more than 30 countries over different continents for research and collaborative purposes. He is now Management Committee from Türkiye of two COST actions (CA22146 and CA22157) and active members of different COST actions and playing important roles in different work packages of various COST actions. He participated in many international trainings on plant molecular genetics particularly at ICARDA-Syria, Copenhagen University -Denmark, Minnesota University-USA. He has over 120 publications in Web of Sciences database. He has co-edited 6 books and written over 17 book chapters on important aspects of molecular genetics in relation to plant species. He has extensive array of citations with over 4000 times as per google scholar with an h-Index of 34. Dr. Faheem serves as Editorial board member of several impacted journals such as Turkish journal agriculture and forestry, BMC Genomic data, Agronomy Journal. Biotechnology and Biotechnological Equipment, BMC Plant Biology, and guest editor for special issues in Plants and Molecular Biology Reports and also reviewer for more than 55 peer-reviewed international journals with more than 121 verified reviews according to Publons. Dr. Comertpay is an Associate Professor of Maize Breeding and Genetics at the Eastern Mediterranean Agricultural Research Institute in Adana, Turkey, an institute affiliated with TAGEM (Republic of Turkey Ministry of Agriculture and Forestry General Directorate of Agricultural Research and Policies). She received her Ph.D. in 2008 from the Faculty of Agriculture, University of Çukurova, Adana, Turkey, with a dissertation on "Genomic-Based Diversity of Turkish Maize Landraces." From 2008 to 2011, she worked as an assistant professor at the University of Adıyaman, Turkey. In 2012, she joined the Eastern Mediterranean Agricultural Research Institute and has been working there ever since. Gönül has led many nationally and internationally funded projects focused on maize. Her research areas include germplasm improvement for grain maize and silage maize, as well as enhancing resilience to biotic and abiotic stresses using genomic tools. She is a member of the European Cooperation in Science and Technology (COST) and the EVA Maize Network, as well as the National Plant Breeders Union. She has numerous publications in the Web of Science database and has contributed to several book chapters. Young Suk Chung is an Associate Professor in the field of Plant Breeding and Plant Genetics, with a specialization in Precision Agriculture. Currently affiliated with Jeju National University in South Korea, he holds a pivotal role in theDepartment of Plant Resources and Environment. His academic journey commencedwith a Bachelor of Science degree from KoreaUniversity, followed by a Master of Sciencedegree from the University of Wisconsin-Madison. He further advanced his studies atthe same institution, completing his PhDand serving as a Postdoctoral ResearchAssociate. He engaged in phenomicsresearch activities at the Plant SciencesInstitute at Iowa State University. Hisexpertise lies at the intersection of plantbreeding, phenomics, and precision agriculture,areas in which he has made substantialcontributions. Notably, he has beenan active member of the Working Group inCOST Action CA22146 for Harnessing thePotential of Underutilized Crops to PromoteSustainable Food Production (DIVERSICROP),representing a commitment to sustainableagricultural practices on a globalscale. Additionally, his involvement withthe European Cooperation in Science andTechnology underscores his dedication tocollaborative research endeavors. With over200 publications to his credit, he has establishedhimself as a prolific researcher,contributing valuable insights to the scientificcommunity. His expertise is furtherrecognized through his roles as an editorand reviewer for esteemed journals, indicatinghis commitment to upholdingacademic rigor and quality standards.Additionally, his role as an AdjunctProfessor at Ton Duc Thang University inHo Chi Minh, Vietnam, reflects his globalengagement in advancing agriculturalknowledge and education.

    Innehållsförteckning

    • 1. Global maize production and cultivation for food safety: challenges and opportunities2. Transformation in maize cultivation: An overview of research and development3. Smart farming technologies: Advanced phenotyping platforms for sustainable maize production4. Conventional to advanced high throughput phenotyping in maize breeding5. Maize genetic resources and machine learning in big data integration6. Integration of genomics and phenomics for transforming maize breeding7. In-silico machine learning models for maize genomic trait prediction8. GIS, global databases and agricultural planning in maize research9. Biotic and abiotic stress monitoring in maize using remote sensing10. Integrating AI and remote sensing technologies for sustainable irrigation and fertilization in maize11. Enhancing maize resilience to climate change with remote sensing and AI12. Remote sensing-based framework for monitoring maize crop yield and quality13. Revolutionizing maize improvement programs with digital tools