Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Maize Agriculture: Remote Sensing, Artificial Intelligence, and Advance Phenotyping

Maize Agriculture: Remote Sensing, Artificial Intelligence, and Advance Phenotyping

Mansoor, Sheikh
Zencirci, Nusret
Bian, Chao

Paperback

Business GeneralAgricultureBiology

PREORDER - Expected ship date January 4, 2027

ISBN10: 0443450269
ISBN13: 9780443450266
Publisher: Academic Press
Published: Jan 4 2027
Pages: 400
Weight: 0.99
Language: English
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.

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