Intelligent Image Analysis for Plant Phenotyping
暫譯: 植物表型智能影像分析
Samal, Ashok, Das Choudhury, Sruti
- 出版商: CRC
- 出版日期: 2020-10-22
- 售價: $7,780
- 貴賓價: 9.5 折 $7,391
- 語言: 英文
- 頁數: 326
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1138038555
- ISBN-13: 9781138038554
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商品描述
Domesticated crops are the result of artificial selection for particular phenotypes or, in some cases, natural selection for an adaptive trait. Plant traits can be identified through image-based plant phenotyping, a process that was, until recently, strenous and time-consuming. Intelligent Image Analysis for Plant Phenotyping reviews information on time-saving techniques, using computer vision and imaging technologies. These methodologies provide an automated, non-invasive, and scalable mechanism by which to define and collect plant phenotypes. Beautifully illustrated, with numerous color images, the book focuses on phenotypes measured from individual plants under controlled experimental conditions, which are widely available in high-throughput systems.
Features:
- Presents methodologies for image processing, including data-driven and machine learning techniques for plant phenotyping.
- Features information on advanced techniques for extracting phenotypes through images and image sequences captured in a variety of modalities.
- Includes real-world scientific problems, including predicting yield by modeling interactions between plant data and environmental information.
- Discusses the challenge of translating images into biologically informative quantitative phenotypes.
A practical resource for students, researchers, and practitioners, this book is invaluable for those working in the emerging fields at the intersection of computer vision and plant sciences.
商品描述(中文翻譯)
家養作物是針對特定表型進行人工選擇的結果，或在某些情況下，則是針對適應性特徵進行自然選擇。植物特徵可以通過基於影像的植物表型分析來識別，這一過程直到最近仍然是繁重且耗時的。《智能影像分析在植物表型分析中的應用》回顧了使用計算機視覺和影像技術的省時技術。這些方法提供了一種自動化、非侵入性且可擴展的機制，用於定義和收集植物表型。本書插圖精美，包含大量彩色圖片，重點關注在受控實驗條件下從單個植物測量的表型，這些測量在高通量系統中廣泛可用。
特色：
- 提供影像處理的方法論，包括基於數據和機器學習技術的植物表型分析。
- 包含提取表型的先進技術資訊，這些技術通過在各種模式下捕獲的影像和影像序列來實現。
- 包括現實世界的科學問題，例如通過建模植物數據與環境資訊之間的互動來預測產量。
- 討論將影像轉換為生物學上有意義的定量表型的挑戰。
這本書是學生、研究人員和實踐者的實用資源，對於在計算機視覺與植物科學交叉的新興領域工作的專業人士來說，具有無價的價值。
作者簡介
Ashok Samal is a Professor in the Department of Computer Science and Engineering at the University of Nebraska-Lincoln, USA. He received Bachelor of Technology from the Indian Institute of Technology, Kanpur, India, and Ph.D. from the University of Utah, Salt Lake City, USA. His research interests include computer vision and data mining, and he has published extensively in these areas. More recently, he has focused on plant phenotyping and co-leads the Plant Vision Initiative research group at the University of Nebraska-Lincoln.
Sruti Das Choudhury is a Research Assistant Professor in the School of Natural Resources at the University of Nebraska-Lincoln, USA. Previously, she was a Postdoctoral Research Associate in the Department of Computer Science and Engineering at the University of Nebraska-Lincoln and an Early Career Research Fellow in the Institute of Advanced Study at the University of Warwick, UK. She received Bachelor of Technology in Information Technology from the West Bengal University of Technology and Master of Technology in Computer Science and Application from the University of Calcutta, India. She obtained her Ph.D. in Computer Science Engineering from the University of Warwick, UK. Her research focus is on biometrics, data science, and most recently, image-based plant phenotyping analysis. She co-leads the Plant Vision Initiative research group at the University of Nebraska-Lincoln.
作者簡介(中文翻譯)
Ashok Samal 是美國內布拉斯加州林肯大學計算機科學與工程系的教授。他在印度坎普爾的印度理工學院獲得技術學士學位，並在美國鹽湖城的猶他大學獲得博士學位。他的研究興趣包括計算機視覺和數據挖掘，並在這些領域發表了大量的研究成果。最近，他專注於植物表型分析，並共同領導內布拉斯加州林肯大學的植物視覺倡議研究小組。
Sruti Das Choudhury 是美國內布拉斯加州林肯大學自然資源學院的研究助理教授。之前，她曾是內布拉斯加州林肯大學計算機科學與工程系的博士後研究助理，以及英國華威大學高級研究院的早期職業研究員。她在西孟加拉技術大學獲得信息技術的技術學士學位，並在印度加爾各答大學獲得計算機科學與應用的技術碩士學位。她在英國華威大學獲得計算機科學工程的博士學位。她的研究重點是生物識別技術、數據科學，以及最近的基於影像的植物表型分析。她共同領導內布拉斯加州林肯大學的植物視覺倡議研究小組。
