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AI-Nano-Enabled Climate-Smart Agriculture and Sustainability / edited by Jen-Tsung Chen.

Springer eBooks EBA - Chemistry and Material Science Collection 2026 Available online

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Format:
Book
Contributor:
Chen, Jen-Tsung., Editor.
Series:
Smart Nanomaterials Technology, 3004-8281
Language:
English
Subjects (All):
Agricultural biotechnology.
Artificial intelligence.
Nanotechnology.
Food science.
Agricultural Biotechnology.
Artificial Intelligence.
Food Nanotechnology.
Local Subjects:
Agricultural Biotechnology.
Artificial Intelligence.
Food Nanotechnology.
Physical Description:
1 online resource (XVI, 546 p. 45 illus.). 41 illus. in color.
Edition:
1st ed. 2026.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2026.
Summary:
This book is a frontier reference offering combinatorial technology by integrating two mainstream tools of artificial intelligence and nanotechnology in agricultural applications, towards smart, precision, and sustainable farming. These smart tools, so-called "AI-enabled nanotechnology", cover intelligent nanoparticles, working as nano-sensors, nano-fertilizers, nano-pesticides, and nano-carriers for targeted delivering biostimulants such as plant growth-promoting rhizobacteria, and additionally, nucleic acids in advancing genetic engineering via CRIPSR/Cas technology and epigenetic modulations via RNA technology. This book proposes promising crop-improving strategies constructed by AI-enabled nanotechnology with systems biological and omics tools, to obtain future crops with climate-ready capacities against temperature, water, and various potential environmental factors under a globally changing climate. The readers include students, teachers, professors, researchers, and experts, in a wide range of agricultural sectors, in particular those who are interested or learning materials science, nano-science, nanotechnology, agricultural biotechnology, bioinformatics involving AI technology, data science, plant physiology, and crop breeding.
Contents:
Harnessing AI-Nano Approaches in Agriculture: Towards Smart, Precision, and Sustainable
Climate-Ready Agriculture: Integrating AI Models and Agricultural Biotechnology
AI-Driven Nanoinformatics: Methodology and Agricultural Applications
AI-Assisted Nano-Omics Approaches in Agriculture: Opportunities and Challenges
AI-Nano Strategies for Developing Stress-Smart and Precision Farming
AI-Nano-Supporting Global Food and Nutrition Security: Technical Achievements and Prospects
Improving Crop Quality and Yield by AI with Nanotechnological Approaches
Pathogen-Resilient Crops: Highlighting the Impact of AI-Driven Nanotechnology
Ways to Develop Environmental Stress-Resilient Crops by AI-Powered Nano-Biotechnology
Temperature-Smart Agriculture Constructed by AI Models with Nanotechnology
Water Stress-Resilient Farming Contributed by AI Models with Nanotechnology
Salinity-Stress Resilience of Crops Mediated by AI Models with Nanotechnology
Sustainable Farming Contributed by Smart-Delivering Nano-Fertilizers
Smart Nano-Carriers for Delivering Pesticides Towards Sustainable Agriculture
Smart NanoSystems for Applying Plant Growth-Promoting Rhizobacteria in Sustainable Agriculture
Smart Nano-Delivering Biostimulants in Sustainable Agriculture
Smart Nano-Sensors in Precision Agriculture
Smart Nano-Delivering Genetic Engineering for Agricultural Sustainability
AI-Nano Platforms for Enhancing CRISPR/Cas-Mediated Genome Editing in Precision Agriculture
Epigenetic Modulations via AI-Nano-Biotechnology for Climate-Smart Agriculture.
Notes:
Print version record.
ISBN:
9789819216949

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