AI, Edge and IoT-based Smart Agriculture

Ajith Abraham (Curatore)

Sujata Dash (Curatore)

Elsevier Science Publishing Co Inc, 2021

AI, Edge, and IoT Smart Agriculture integrates applications of IoT, edge computing, and data analytics for sustainable agricultural development and introduces Edge of Thing-based data analytics and IoT for predictability of crop, soil, and plant disease occurrence for improved sustainability and increased profitability. The book also addresses precision irrigation, precision horticulture, greenhouse IoT, livestock monitoring, IoT ecosystem for agriculture, mobile robot for precision agriculture, energy monitoring, storage management, and smart farming. The book provides an overarching focus on sustainable environment and sustainable economic development through smart and e-agriculture. Providing a medium for the exchange of expertise and inspiration, contributions from both smart agriculture and data mining researchers around the world provide foundational insights. The book provides practical application opportunities for the resolution of real-world problems, including contributions from the data mining, data analytics, Edge of Things, and cloud research communities working in the farming production sector. The book offers broad coverage of the concepts, themes, and instruments of this important and evolving area of IOT-based agriculture, Edge of Things and cloud-based farming, Greenhouse IOT, mobile agriculture, sustainable agriculture, and big data analytics in agriculture toward smart farming.

• Curatore: Ajith Abraham, Sujata Dash
• Editore: Elsevier Science Publishing Co Inc
• Collana: Intelligent Data-Centric Systems
• Anno: 2021
• Rilegatura: Paperback / softback
• Pagine: 574 p.
• Dimensioni: 235 x 191 mm
• Peso: 880 gr.
• EAN: 9780128236949

Testo in English