Artificial Intelligence and Data Sciences for Precision Agriculture
暫譯: 精準農業的人工智慧與數據科學

Fiaz, Sajid, Nadeem, Muhammad Azhar, Baloch, Faheem Shehzad

Artificial Intelligence and Data Sciences for Precision Agriculture
  • 出版商: Springer
  • 出版日期: 2026-01-10
  • 售價: $8,900
  • 貴賓價: 9.5 折 $8,455
  • 語言: 英文
  • 頁數: 319
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3032127696
  • ISBN-13: 9783032127693
  • 相關分類: Data-mining、Machine Learning、Maker

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Global human population is increasing rapidly, and it has been estimated to reached 9.7 billion by year 2050. With this massive population growth, the greatest challenge is sustainable food production. The traditional agriculture system does not have capacity to meet growing food demand therefore, it is emergent to introduce emerging technologies helping farming community to precisely utilize the resources to ensure food security under climate change conditions. The technological revolution of 21st century has transformed every sector of life with no exception to agriculture. The application of recent technical concepts i.e., Internet of things, cloud computing, big data, data mining and artificial intelligence had helped farming community to make smart decisions and actions for resolving complex problems of agriculture. Precision agriculture involves the utilization of sensors, drones, and satellite imagery for monitoring for monitoring crop health, soil conditions and weather patterns therefore, integration of artificial intelligence and data science-based technologies can improve sustainability, productivity, and climate resilience. The utilization of data sciences in precision agriculture represents a radical turn toward knowledge-based decision making. The application of data science concepts can help farming community to optimize the resource allocation, real time crops monitoring, efficiently and timely harvesting and yield prediction. This synergy will not only enhance the productivity but can also promote sustainable agricultural practices.

The book covers the latest developments taking place on application of data sciences for precision agriculture. It specifically focuses on the technological innovations for improving decision making, and cover various fields of data sciences and their application in agriculture production system.

商品描述(中文翻譯)

全球人類人口正在迅速增加，預計到2050年將達到97億。隨著這一龐大的人口增長，最大的挑戰是可持續的食品生產。傳統的農業系統無法滿足日益增長的食品需求，因此，引入新興技術以幫助農業社群精確利用資源，以確保在氣候變化條件下的食品安全變得迫在眉睫。21世紀的技術革命改變了生活的每個領域，農業也不例外。最近的技術概念應用，如物聯網（Internet of Things）、雲計算（cloud computing）、大數據（big data）、數據挖掘（data mining）和人工智慧（artificial intelligence），幫助農業社群做出明智的決策和行動，以解決農業的複雜問題。精準農業涉及利用傳感器、無人機和衛星影像來監測作物健康、土壤狀況和氣候模式，因此，人工智慧和數據科學技術的整合可以改善可持續性、生產力和氣候韌性。在精準農業中利用數據科學代表著向基於知識的決策制定的根本轉變。數據科學概念的應用可以幫助農業社群優化資源配置、實時監測作物、有效且及時地收穫以及預測產量。這種協同作用不僅能提高生產力，還能促進可持續的農業實踐。

本書涵蓋了在精準農業中應用數據科學的最新發展。它特別關注改善決策制定的技術創新，並涵蓋數據科學的各個領域及其在農業生產系統中的應用。

作者簡介

Dr. Sajid Fiaz, PhD, is Assistant Professor at the Institute of Molecular Biology and Biotechnology, University of Lahore. His research focuses on rice improvement using genome editing, marker-assisted selection, and multi-omics. He has 175 publications, 13 book chapters, edited nine books, and ranks among the world's top 2% scientists.

Dr. Muhammad Azhar Nadeem, Associate Professor of Plant Biotechnology at Mersin University, Türkiye, specializes in plant genomics, next-generation sequencing, and molecular marker development for crop improvement. He has 90+ SCI papers, 10+ book chapters, five edited books, and ranks among the World's Top 2% Scientists (2023-2025).

Prof. Faheem Shehzad Baloch, Professor of Plant Genetics and Genomics at Mersin University, Türkiye, specializes in plant phenomics, genetics, and biotechnology for crop improvement. He has 185+ Web of Science publications, 13 edited books, 14 chapters, 6,000+ citations (h-index 40), and serves on several high-impact journal editorial boards.

Dr. Yong Suk Chung, Associate Professor at Jeju National University, focuses on plant breeding and genetics integrating phenomics, AI, and machine learning for precision agriculture. He serves as an Evaluator for the European Innovation Council, a member of IPPN and COST Action DIVERSICROP, and CEO of Pytomix Corporation, advancing smart farming technologies.

作者簡介(中文翻譯)

薩吉德·費亞茲博士（Dr. Sajid Fiaz, PhD）是拉合爾大學分子生物學與生物技術研究所的助理教授。他的研究專注於利用基因組編輯、標記輔助選擇和多組學進行水稻改良。他擁有175篇出版物、13章書籍、編輯了九本書籍，並在全球前2%的科學家中名列前茅。

穆罕默德·阿茲哈·納迪姆博士（Dr. Muhammad Azhar Nadeem）是土耳其梅爾辛大學的植物生物技術副教授，專長於植物基因組學、下一代測序和作物改良的分子標記開發。他擁有90篇以上的SCI論文、10章以上的書籍、五本編輯書籍，並在2023-2025年期間名列全球前2%的科學家。

法希姆·謝赫扎德·巴洛赫教授（Prof. Faheem Shehzad Baloch）是土耳其梅爾辛大學的植物遺傳學與基因組學教授，專長於植物表型學、遺傳學和生物技術以促進作物改良。他擁有185篇以上的Web of Science出版物、13本編輯書籍、14章書籍，引用次數超過6,000次（h-index 40），並在多個高影響力期刊的編輯委員會中任職。

鄭永碩博士（Dr. Yong Suk Chung）是濟州國立大學的副教授，專注於植物育種和遺傳學，結合表型學、人工智慧和機器學習以實現精準農業。他擔任歐洲創新委員會的評估員，是IPPN和COST行動DIVERSICROP的成員，以及Pytomix Corporation的首席執行官，推進智慧農業技術。

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