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 summary of six years of raw data spanning from the 2019 growing season to the present, and extract actionable guidance data for each natural week during the growth cycle of glass greenhouse tomato cultivation, covering environmental regulation, greenhouse equipment control, water and fertilizer irrigation, and other aspects. The environmental regulation data is used to adjust the optimal temperature, humidity and carbon dioxide concentrations for different plant growth stages, ensuring the best possible growth conditions for the crops. The greenhouse equipment control data is utilized to regulate the unfolding ratio and opening curve of curtains and skylights, so as to follow the daily optimal temperature curve and provide optimal growth conditions for the plants. The water and fertilizer irrigation data is applied to set the optimal pH value for the irrigation system and the nutrient range most conducive to root uptake by the crops, ensuring effective nutrient absorption. Meanwhile, it meets the fertilizer supply demands of crops at different growth stages by configuring varying EC values for distinct stages. These data will provide concrete, data-driven guidance for protected tomato cultivation nationwide, optimizing the planting process, improving crop yield and quality, and facilitating the sustainable development of China's modern agriculture.

搜集汇总

背景与挑战

背景概述

该数据集由德州财金智慧农业科技有限公司提供，涵盖2019产季至今六年的番茄生长数据，包括环境调控、设备控制和水肥灌溉等关键参数，用于优化温室番茄种植过程。数据集支持智能水肥系统开发、病害识别和设备维护等应用场景，但禁止用于非法和国外场景，旨在提高番茄产量与品质，促进现代农业可持续发展。