相关实验视频

Updated: Jan 8, 2026

Imaging and Analysis for Quantifying Maize (Zea mays) Abiotic Stress Phenotypes
06:41

Imaging and Analysis for Quantifying Maize (Zea mays) Abiotic Stress Phenotypes

Published on: March 28, 2025

1.5K

基于神经网络的研究来识别和分类叶疾病:基于特征的模型和直接成像模型之间的比较分析.

Farida Siddiqi Prity1, Mirza Raquib2, Saydul Akbar Murad3

  • 1Department of Computer Science and Engineering Netrokona University Netrokona Bangladesh.

Food science & nutrition
|December 22, 2025
PubMed
概括

这项研究引入了特征分析检测模型 (FADM) 用于早期检测大米叶病,其性能优于直接图像分析. 这种人工智能方法提高了作物健康,并减少了可持续农业的产量损失.

关键词:
人工神经网络的人工神经网络极端学习的机器学习.特性提取算法 特性提取算法疾病 疾病 疾病 疾病米 米饭 米饭 米饭 米饭.

更多相关视频

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation08:47

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

Published on: February 9, 2024

2.0K
Visualizing Early Infection Sites of Rice Blast Disease Magnaporthe oryzae on Barley Hordeum vulgare Using a Basic Microscope and a Smartphone07:36

Visualizing Early Infection Sites of Rice Blast Disease Magnaporthe oryzae on Barley Hordeum vulgare Using a Basic Microscope and a Smartphone

Published on: March 17, 2023

2.1K

相关概念视频

Light Acquisition02:16

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.
9.3K