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Titlebook: Soil and Crop Sensing for Precision Crop Production; Minzan Li,Chenghai Yang,Qin Zhang Book 2022 Springer Nature Switzerland AG 2022 Robot

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發(fā)表于 2025-3-21 19:00:02 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Soil and Crop Sensing for Precision Crop Production
編輯Minzan Li,Chenghai Yang,Qin Zhang
視頻videohttp://file.papertrans.cn/872/871289/871289.mp4
概述First book discussing the fundamentals of those emerging technologies in agriculture.Authors are top level experts in their specific areas of research and technology development.Basic principles of pr
叢書名稱Agriculture Automation and Control
圖書封面Titlebook: Soil and Crop Sensing for Precision Crop Production;  Minzan Li,Chenghai Yang,Qin Zhang Book 2022 Springer Nature Switzerland AG 2022 Robot
描述.Soil and crop sensing is a fundamental component and the first important step in precision agriculture. Unless the level of soil and crop variability is known, appropriate management decisions cannot be made and implemented. In the last few decades, various ground-based sensors have been developed to measure spatial variability in soil properties and nutrients, crop growth and yield, and pest conditions. Remote sensing as an important data collection tool has been increasingly used to map soil and crop growth variability as spatial, spectral and temporal resolutions of image data have improved significantly in recent years. While identifying spatial variability of soil and crop growth within fields is an important first step towards precision management, using that variability to formulate variable rate application plans of farming inputs such as fertilizers and pesticides is another essential step in precision agriculture.The purpose of this book is to present the historical, current and future developments of soil and crop sensing technologies with fundamentals and practical examples. The first chapter gives an overview of soil and crop sensing technologies for precision crop pr
出版日期Book 2022
關(guān)鍵詞Robotics; automation; precision agriculture; production agriculture; biosystems; agricultural engineering
版次1
doihttps://doi.org/10.1007/978-3-030-70432-2
isbn_softcover978-3-030-70434-6
isbn_ebook978-3-030-70432-2Series ISSN 2731-3492 Series E-ISSN 2731-3506
issn_series 2731-3492
copyrightSpringer Nature Switzerland AG 2022
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-22 00:01:02 | 只看該作者
Sensing Technology of Soil Physical Properties,t mainly includes the color, texture, density, structure, porosity, moisture, compaction, heat (thermal property), air condition, and cation exchange capacity (CEC) of soil, as well as the mechanical and physical properties and electromagnetic properties of soil. Among these properties, texture, por
板凳
發(fā)表于 2025-3-22 03:09:23 | 只看該作者
Theories and Methods for Soil Nutrient Sensing,, as well as soil micronutrients such as calcium, magnesium, sulfur, iron, and boron. Precision agriculture is a technology of applying precise and right amounts of inputs such as water, fertilizer, and pesticides at the right time to the crop for increasing the productivity and maximizing the yield
地板
發(fā)表于 2025-3-22 08:11:48 | 只看該作者
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發(fā)表于 2025-3-22 11:51:09 | 只看該作者
Theories and Methods for Spectroscopy-Based Crop Nutrient Sensing,alysis technology, remote sensing image technology, digital image processing technology, plant electrical signal detection, and other means can obtain crop growth information and analyze crop nutritional status without destructing plants. All of the above technologies have been widely used in crop g
6#
發(fā)表于 2025-3-22 12:59:54 | 只看該作者
Remote Sensing Technologies for Crop Disease and Pest Detection, remote sensing platforms and systems commonly used for crop disease and pest detection. Specifically, remote sensors mounted on satellites, manned aircraft, and unmanned aircraft systems (UAS) are discussed and applications on the use of these imaging sensors for detecting and mapping crop diseases
7#
發(fā)表于 2025-3-22 19:08:34 | 只看該作者
Plant Phenotyping,suming and laborious, and the database is insufficient to meet the requirements of plant breeders, hindering the development of breeding. Accordingly, innovations in phenotyping are urgent to solve this bottleneck. The morphometric and physiological parameters of plants are particularly of interest
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發(fā)表于 2025-3-22 23:02:09 | 只看該作者
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發(fā)表于 2025-3-23 02:21:53 | 只看該作者
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發(fā)表于 2025-3-23 05:51:03 | 只看該作者
Remote Sensing Technologies for Crop Disease and Pest Detection,re directions are briefly discussed. The overview and methodologies presented in this chapter should provide researchers, extension personnel, growers, crop consultants, and farm equipment and chemical dealers with practical guidelines for remote detection and effective management of some crop diseases and insect pests.
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