相关实验视频

Updated: Jul 13, 2025

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

泰勒·雷莫拉的优化使深度学习算法能够在葡萄中检测农药的百分比

Vaishali Sukhadeo Bajait¹, Nandagopal Malarvizhi²

¹Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu, India. vaishalibajait2018@gmail.com.

Environmental science and pollution research international

|October 18, 2023

概括

这项研究引入了一种优化的深度学习方法,用于检测葡萄叶病和农药水平. 该方法实现了高精度,帮助农民在疾病管理和农药应用方面.

科学领域:

农业科学农业科学
计算机科学计算机科学
机器学习机器学习

背景情况:

葡萄种植在经济上很重要,但容易受到各种叶病的影响.
手动检测葡萄叶病和农药水平是劳动密集型和耗时的.
现有的方法在确定疾病严重程度和农药影响方面缺乏效率.

研究的目的:

开发一个高效的基于深度学习的系统,用于葡萄叶病的识别.
准确确定受影响葡萄叶上的农药含量百分比.
为农民提供一个有效的作物管理决策支持系统.

主要方法:

使用泰勒雷莫拉优化程序 (TROA) 的图像预处理和黑点细分.
使用深度神经模糊优化器 (DNFN) 训练有素共蝶优化 (SCBO) 进行葡萄叶病的多重分类 (黑色腐烂,黑色麻疹,Isariopsis叶斑,健康).
农药分类通过深度Maxout网络 (DMN) 训练与君主抗冠状病毒优化 (MACO),和农药百分比检测使用深度信念网络 (DBN) 训练TROA.

主要成果:

拟议的深度学习方案实现了高精度 (0.9327),灵敏度 (0.9383) 和第三个指标为0.9429.
成功识别和分类多种葡萄叶病.
精确检测疾病葡萄叶上的农药含量.

结论:

开发的深度学习方法为自动检测葡萄叶病和农药评估提供了有效的解决方案.
这种系统可以显著帮助农民做出有关疾病管理和农药应用的明智决策.
优化的深度学习模型显示了提高农业实践和作物产量的潜力.

关键词:

深信网络是一个深信网络.深度模糊集群是什么意思深度maxout网络是一个深度maxout网络.杀虫剂检测检测器可以检测杀虫剂.sinus 和 cosine 的算法

更多相关视频

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

Published on: May 10, 2024

The Terroir Concept Interpreted through Grape Berry Metabolomics and Transcriptomics

The Terroir Concept Interpreted through Grape Berry Metabolomics and Transcriptomics

Published on: October 5, 2016

相关概念视频

Light Acquisition

Light Acquisition

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.

Improving Translational Accuracy

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...