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相关概念视频

Light Acquisition02:16

Light Acquisition

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In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
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Like all living organisms, plants require organic and inorganic nutrients to survive, reproduce, grow and maintain homeostasis. To identify nutrients that are essential for plant functioning, researchers have leveraged a technique called hydroponics. In hydroponic culture systems, plants are grown—without soil—in water-based solutions containing nutrients. At least 17 nutrients have been identified as essential elements required by plants. Plants acquire these elements from the...
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Multiple Regression01:25

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Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
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Crop cultivation has a long history in human civilization, with records showing the cultivation of cereal plants beginning at around 8000 BC. This early plant breeding was developed primarily to provide a steady supply of food.
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Global Positioning System (GPS) technology has revolutionized navigation and positioning, but its accuracy is often compromised by various errors. These errors, stemming from environmental, satellite, and receiver-related factors, require careful mitigation to ensure reliable performance across applications.Atmospheric ErrorsGPS signals travel through the Earth’s ionosphere and troposphere, introducing delays which affect accuracy. The ionosphere is strongly influenced by charged particles,...
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相关实验视频

Updated: May 21, 2025

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images
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Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images

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通过基于云计算的变革性作物推模型增强精准农业.

Gurpreet Singh1, Sandeep Sharma2

  • 1Department of Computer Engineering and Technology, Guru Nanak Dev University, Amritsar, Punjab, India. gurpreetsinghgndu@gmail.com.

Scientific reports
|March 18, 2025
PubMed
概括
此摘要是机器生成的。

一个新的变革性作物推模型 (TCRM) 使用实时数据和机器学习来提供个性化的农业建议. 这项技术提高了作物产量,并促进了农民的可持续农业.

关键词:
建议作物作物的建议.物联网的物联网,就是物联网.机器学习是机器学习.精准农业 精准农业 精准农业

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相关实验视频

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科学领域:

  • 农业科学 农业科学
  • 计算机科学 计算机科学
  • 数据科学数据科学数据科学

背景情况:

  • 现代农业越来越依赖于技术来提高粮食生产的质量和数量.
  • 传统的作物推方法往往缺乏实时数据集成和个性化.

研究的目的:

  • 为个性化作物建议引入一种新的变革性作物推模型 (TCRM).
  • 利用机器学习和云平台优化农业实践.

主要方法:

  • 开发了一个变革性作物推模型 (TCRM),集成实时环境和农学数据.
  • 利用先进的机器学习算法和云计算基础设施.
  • 集成的短信警报用于远程农民通信.

主要成果:

  • TCRM模型实现了94%的准确性,94.46%的精度,94%的回忆,以及93.97%的F1得分.
  • 五次交叉验证显示了模型的高性能,得分为97.67%.
  • TCRM的性能超过了包括物流回归,KNN和AdaBoost在内的基线算法.

结论:

  • 通过提供可操作的,特定于区域的洞察力,TCRM模型显著改善了精密农业.
  • 它提高了农民的利能力,并通过优化资源管理和提高产量来促进可持续的农业实践.
  • 该模型显示了提高农业效率和可持续性的潜力.