番茄生理生化特性生长数据集

本项目旨在通过对2019产季至今六年的原始数据进行深入分析与总结，提炼出玻璃温室番茄种植在生长期内每个自然周的环境调控、温室设备控制、水肥灌溉等各项经指导数据。其中环境调控数据用于调控不同植株生长阶段最适温度、湿度、二氧化碳，保证植株最佳生长状态；温室设备控制数据用于控制幕布及天窗的铺展比例及开放曲线，保证每天按照最优温度曲线进行，给植株生长提供最佳状态；水肥灌溉数据用于灌溉系统设置最佳pH、设置最利于植株根系吸收的区间，保证作物吸收，同时确保不同阶段作物对于肥料供应的需求，在不同阶段设置不同供应EC。这些数据将为全国设施番茄种植提供具体化、数字化的指导，以优化种植过程，提高产量与品质，助力全国现代农业的可持续发展。

This project aims to conduct in-depth analysis and summarization of six years of raw data spanning from the 2019 production season to the present, and extract targeted guidance data for glasshouse tomato cultivation during each natural week of the growth period, covering environmental regulation, greenhouse equipment control, fertigation and other relevant aspects. The environmental regulation data is used to adjust the optimal temperature, humidity and carbon dioxide concentrations for different plant growth stages, so as to ensure optimal growth conditions for the crops. The greenhouse equipment control data is applied to regulate the deployment ratios and opening curves of curtains and skylights, ensuring that the daily optimal temperature curve is followed to provide the best growth environment for plants. The fertigation data is used to set the optimal pH value for the irrigation system and the range most conducive to root nutrient uptake, ensuring effective nutrient absorption by the crops. Meanwhile, it meets the fertilizer supply requirements of crops at different growth stages, with varying electrical conductivity (EC) levels configured for each stage. These data will provide concrete and digital guidance for protected tomato cultivation across the country, optimizing the planting process, improving yield and quality, and promoting the sustainable development of China's modern agriculture.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于玻璃温室番茄种植，汇集了自2019产季以来六年的环境调控、温室设备控制和水肥灌溉等多维度原始数据，旨在为设施番茄种植提供具体化、数字化的操作指导。通过优化温度、湿度、二氧化碳等环境参数，以及精准控制灌溉和肥料供应，数据集支持智能农业应用，如开发智能水肥系统和病害预警模型，以提升番茄产量与品质，促进现代农业可持续发展。