農業如何運用 AI、邊緣運算與物聯網，提高生產效率，同時兼顧永續發展？AI, Edge, and IoT Smart Agriculture 從智慧農業的實際需求出發，整合 IoT、Edge Computing 與 Data Analytics，說明如何透過資料蒐集與分析，預測作物生長、土壤狀況及植物病害，協助農業生產做出更即時的判斷。
本書涵蓋精準灌溉、智慧園藝、溫室物聯網、畜牧監測、農業機器人、能源監控、儲存管理與智慧農場等應用，並納入大數據與雲端農業技術。內容集結全球智慧農業與資料探勘研究者的專業成果，兼具技術架構與實務案例，適合智慧農業、IoT、資料科學及農業工程相關研究與專業人士參考。
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.
