From Conventional to Artificial Intelligence-Based Agriculture
暫譯: 從傳統農業到人工智慧農業

Sharma, Vivek, Salwan, Richa, Sharma, Rhydum

From Conventional to Artificial Intelligence-Based Agriculture
  • 出版商: Academic Press
  • 出版日期: 2026-04-20
  • 售價: $6,020
  • 貴賓價: 9.5 折 $5,719
  • 語言: 英文
  • 頁數: 224
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0443274657
  • ISBN-13: 9780443274657
  • 相關分類: Machine Learning

    • 海外代購書籍(需單獨結帳)

商品描述

From Conventional to Artificial Intelligence-Based Agriculture explores the evolving landscape of agriculture as it transitions from traditional practices to advanced, AI-driven solutions. With AI and machine learning revolutionizing industries worldwide, their impact on agriculture is becoming increasingly significant. These technologies are not only aiding in climate modeling but also opening new possibilities for precision farming, enabling more accurate crop health diagnostics, efficient resource management, and timely intervention strategies.

By integrating conventional agricultural knowledge with cutting-edge AI tools, farmers and researchers can better assess soil conditions, predict optimal planting windows, monitor nutrient dynamics, and understand market trends with greater precision. This convergence of tradition and technology supports more resilient, productive, and sustainable agricultural systems, paving the way for a smarter and more food-secure future.

商品描述(中文翻譯)

從傳統農業到基於人工智慧的農業 探討了農業在從傳統實踐轉型為先進的人工智慧驅動解決方案過程中的演變景觀。隨著人工智慧和機器學習在全球各行各業的革命性影響，這些技術對農業的影響變得越來越重要。這些技術不僅有助於氣候建模，還為精準農業開啟了新的可能性，使得作物健康診斷更為準確、資源管理更為高效，以及及時的干預策略得以實施。

通過將傳統農業知識與尖端的人工智慧工具相結合，農民和研究人員可以更好地評估土壤條件、預測最佳播種時機、監測養分動態，並以更高的精確度理解市場趨勢。這種傳統與技術的融合支持了更具韌性、生產力和可持續性的農業系統，為更智慧和更具食品安全的未來鋪平了道路。

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