一种混合深度学习和基于规则的模型,用于使用卫星图像进行智能天气预报和作物推
Salma A Mohamed1, Olfat O Abdel Maksoud2, Abdelrahman Fathy3
1Faculty of Computers Science and Technology, Modern academy, Cairo, Egypt. salmaashraf23@outlook.com.
Scientific reports
|October 15, 2025
概括
本研究介绍了一种使用卫星图像和天气数据进行精确农业管理的AI框架. 它通过为农民提供本地化预测和咨询来提高作物可持续性并减少损失.
科学领域:
- 农业科学 农业科学
- 环境科学 环境科学
- 计算机科学 计算机科学
背景情况:
- 气象数据的有效管理对于农业的可持续性和精确性至关重要,特别是气候变化.
- 目前的方法往往依赖于孤立的数据源,限制了全面的农业规划.
研究的目的:
- 开发和验证一个综合框架,以加强埃及的农业实践.
- 通过先进的数据分析,改进水和小麦种植的作物管理.
主要方法:
- 集成多光谱图像分析 (卷积神经网络 - CNN),天气预报 (循环神经网络-长期短期记忆 - RNN-LSTM) 和基于规则的模型.
- 利用人工智能和卫星 (Sentinel-2,NOAA) 和气象站数据上的数据处理技术.
- 土地分类的CNN模型;用于气象变量预报的RNN-LSTM.
主要成果:
- 在农业用地分类中,CNN模型实现了高准确度 (训练损失从0.2362减少到6.87e-4).
- 在RNN-LSTM模型中,气象变量的预测准确度显著,RMS误差为0.19.
- 混合框架提供精确的,本地化的预测和定制的农业建议.
结论:
- 创新的混合框架有效地融合了图像分析,天气预报和建议,用于明智的农业决策.
- 这种方法有助于优化作物选择,种植计划和资源分配.
- 旨在减少作物损失,运营成本,并在气候变化挑战中促进可持续农业.
相关概念视频
01:07What is Weather?
19.7K
Overview
19.7K
02:16Light Acquisition
9.4K
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.
9.4K
01:25Multiple Regression
3.8K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
3.8K
01:12Precipitation Processes
5.0K
The experimental conditions in a gravimetric analysis should be optimized to maximize the particle size and purity of the obtained precipitate. Ideally, the concentration of the precipitating reagent should be low with effective stirring to maintain low relative supersaturation for the growth of large crystals. In homogeneous precipitation, the precipitant is slowly generated by a chemical reaction in the solution to avoid local reagent excesses. For example, urea decomposes gradually to...
5.0K
01:17Precipitation and Co-precipitation
4.0K
Precipitation and coprecipitation methods can be used to separate a mixture of ions in a solution. In qualitative inorganic analysis, ions that form sparingly soluble precipitates with the same reagent are separated based on the differences in solubility products. For example, consider the separation of Cu(II) and Fe(II) ions by precipitation as insoluble sulfides. First, copper(II) sulfide is precipitated by the addition of acidic H2S, where the dissociation of H2S is suppressed. Adding H2S...
4.0K