Bo Han – författare
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5 produkter
Apple Production Technologies: From Laboratory to Practical Applications
Cutting-Edge Innovative Techniques
Av Zhao Zhang, Dequan Zhu m. fl.
Inbunden, 2025
1967 kr
Lägg i varukorg
This book comprehensively introduces innovative technologies for practical applications in apple production, which include, but not limited to autonomous thinning, Internet of Things, drones for pollination, disease detection and control, and growth stage detection. Conventional apple production is …
Apple Production Technologies: From Laboratory to Practical Applications
Cutting-Edge Innovative Techniques
Av Zeping Wang, Pengwei Liu m. fl.
E-bok, 2025
2599 kr
Lägg i varukorg
This book comprehensively introduces innovative technologies for practical applications in apple production, which include, but not limited to autonomous thinning, Internet of Things, drones for pollination, disease detection and control, and growth stage detection. Conventional apple production is …
Apple Production Technologies: From Laboratory to Practical Applications
Cutting-Edge Innovative Techniques
Av Zhao Zhang, Dequan Zhu m. fl.
Häftad, 2026
1423 kr
Lägg i varukorg
This book comprehensively introduces innovative technologies for practical applications in apple production, which include, but not limited to autonomous thinning, Internet of Things, drones for pollination, disease detection and control, and growth stage detection. Conventional apple production is …
Trustworthy Machine Learning under Imperfect Data
Av Bo Han, Tongliang Liu
Inbunden, 2025
1802 kr
Lägg i varukorg
The subject of this book centres around trustworthy machine learning under imperfect data. It is primarily designed for scientists, researchers, practitioners, professionals, postgraduates and undergraduates in the field of machine learning and artificial intelligence. The book focuses on …
Trustworthy Machine Learning under Imperfect Data
Av Tongliang Liu, Bo Han
E-bok, 2025
2341 kr
Lägg i varukorg
The subject of this book centres around trustworthy machine learning under imperfect data. It is primarily designed for scientists, researchers, practitioners, professionals, postgraduates and undergraduates in the field of machine learning and artificial intelligence. The book focuses on …
