河南省郑州市登封市苹果种植环境分析数据

采集苹果种植的空气温湿度、光照强度、PM10、PM2.5 等数据，全面评估不同环境条件对苹果生长的具体影响。如确定适宜的温度和湿度范围以促进苹果果实良好发育，明确合适的光照强度和时长以保障光合作用高效进行，分析不同程度的 PM10 和 PM2.5 对苹果叶片及果实的潜在影响，进而为苹果的健康生长提供有力保障。利用这些数据构建苹果品质与环境参数关联的深度网络模型，深入探索何种环境条件组合可以使苹果具有更高的甜度、更脆的口感、更鲜艳的色泽等，为显著提升苹果品质奠定基础。基于数据驱动的方式，为苹果种植环境的智能调控提供有效的支持。依据实时数据自动调整灌溉量、通风强度以及遮阳程度等，为苹果创造适宜的生长环境，提高种植效率和产量。将优化后的环境调控经验推广应用至不同地区的苹果种植中，形成多维度细粒度的感知与控制模式，有力推动苹果种植产业朝着科学、高效、模式可移植的方向发展，全面提升整个产业的竞争力。1.数据采集：本系统通过空气湿温度传感器、光照传感器等物联网设备，结合4G/5G、Wi-Fi与有线网络，实时采集苹果种植环境中的空气湿温度、光照、PM10等多维数据。数据经过清洗和集成技术的处理，确保其准确性与一致性，为后续分析提供高质量的数据基础。
2.算法规则：系统采用环境参数评分算法，对环境数据进行评分。评分基于苹果生长的理想条件（如温度、湿度、光照等），并通过以下公式计算：
环境参数评分 = 100 - Σ ( w_i × |当前值_i - 理想值_i| / 容差_i )
其中，Σ 表示对所有参数的累加，w_i 是第 i 个参数的权重。当前值_i 是第 i 个参数的实际测量值，理想值_i 是第 i 个参数的理想值。容差_i 是第 i 个参数的允许波动范围，偏离理想值越多，扣分越大。
3.调控方案
系统根据分析结果将自动生成环境调控方案，针对多维度环境参数进行精细调整，确保环境条件始终维持在理想状态，从而提高作物的质量和产量。

This dataset collects multi-dimensional environmental data including air temperature and humidity, light intensity, PM10, PM2.5, etc. from apple orchards, to comprehensively evaluate the specific impacts of various environmental conditions on apple growth. Specifically, it aims to define optimal temperature and humidity ranges for the healthy development of apple fruits, determine appropriate light intensity and duration to ensure efficient photosynthesis, analyze the potential effects of different levels of PM10 and PM2.5 on apple leaves and fruits, thereby providing robust support for the healthy growth of apples.

Using the collected data, a deep neural network model correlating apple quality with environmental parameters is constructed, to thoroughly explore which combinations of environmental conditions can yield apples with higher sweetness, crisper texture, more vivid color, and other desirable traits, laying a solid foundation for significantly improving apple quality. This data-driven approach provides effective support for intelligent regulation of apple orchard environments: it automatically adjusts irrigation volume, ventilation intensity, shading degree, and other parameters based on real-time data, creating suitable growth conditions for apples and enhancing planting efficiency and yield.

The optimized environmental regulation experience is then promoted and applied to apple planting in different regions, forming a multi-dimensional, fine-grained perception and control model, which effectively promotes the apple planting industry towards a scientific, efficient, and transferable development direction, and comprehensively enhances the competitiveness of the entire industry.

1. Data Collection: This system collects real-time multi-dimensional environmental data including air temperature and humidity, light intensity, PM10, etc. from apple orchards via IoT devices such as air temperature and humidity sensors, light sensors, etc., combined with 4G/5G, Wi-Fi and wired networks. The collected data is processed through cleaning and integration techniques to ensure accuracy and consistency, providing a high-quality data foundation for subsequent analysis.

2. Algorithm Rules: The system adopts an environmental parameter scoring algorithm to evaluate the collected environmental data. The scoring is based on the optimal conditions for apple growth (such as temperature, humidity, light intensity, etc.), and is calculated using the following formula:
Environmental Parameter Score = 100 - Σ ( w_i × |Current Value_i - Ideal Value_i| / Tolerance_i )
Where Σ represents the summation over all parameters, w_i is the weight of the i-th parameter, Current Value_i is the actual measured value of the i-th parameter, Ideal Value_i is the ideal value of the i-th parameter, and Tolerance_i is the allowable fluctuation range of the i-th parameter. The more the value deviates from the ideal value, the more points are deducted.

3. Regulation Scheme: The system will automatically generate an environmental regulation scheme based on the analysis results, and finely adjust multi-dimensional environmental parameters to ensure that the environmental conditions are always maintained at the optimal state, thereby improving crop quality and yield.

搜集汇总

数据集介绍

特点

该数据集记录了河南省郑州市登封市苹果种植环境的多维数据，包括空气温湿度、光照强度、PM2.5和PM10等，每日更新，用于评估环境对苹果生长的影响，并通过算法生成调控方案，优化种植环境。