4th Autonomous Greenhouse Challenge: Dwarf Tomato Timeseries and Images

This dataset was collected during the 4th International Autonomous Greenhouse Challenge in the experimental facilities of the Greenhouse Horticulture Business Unit in Bleiswijk, The Netherlands in 2024. <br>We kindly refer the reader to additional information the competition to http://www.autonomousgreenhouses.com/. The experiment in described in detail in the accompanied paper <em>Autonomous Greenhouse Cultivation of Dwarf Tomato: Performance Evaluation of Intelligent Algorithms for multiple-sensor feedback</em> by the same authors. <br>This dataset was collected during a two month dwarf tomato cultivation in a research greenhouse compartment (96 m2), located in Bleiswijk (The Netherlands). Six different compartments were controlled remotely and autonomosly by six international teams using intelligent algorithms. <br>The dataset contains raw and processed data. Raw data were collected via climate measuring boxes, manual registrations, outside weather station and RGBD cameras. From this, energy usage, and costs are computed. Manual plant measurements are collected to evaluate the final harvest. <br>The dataset contains:Timeseries.zip: 5-minute interval greenhouse climate, control state and weather data, as well as plant measurements related to yield (fruits, count, weights and ripeness). Canopy_camera.zip: For each compartment, a canopy RGBD camera taking images 4 times a day over the course of two months to monitor the growth process for each compartment.<br>

本数据集采集于2024年荷兰布莱斯韦克温室园艺业务部门的实验设施内，系第四届国际自主温室挑战赛（International Autonomous Greenhouse Challenge）的相关采集数据。
诚邀读者访问http://www.autonomousgreenhouses.com/ 查阅该赛事的更多详情。本次实验的详细内容已刊载于同名作者所撰写的随附论文《矮化番茄自主温室栽培：多传感器反馈智能算法性能评估》（Autonomous Greenhouse Cultivation of Dwarf Tomato: Performance Evaluation of Intelligent Algorithms for multiple-sensor feedback）。
本数据集采集自荷兰布莱斯韦克一间面积为96平方米的科研温室隔间（greenhouse compartment）内，实验周期为两个月的矮化番茄种植。共有6支国际团队通过智能算法，对6个独立温室隔间实现远程自主调控。
本数据集包含原始数据与处理后数据两类。原始数据通过气候测量箱、人工登记记录、室外气象站以及RGBD相机（RGBD camera）采集获取；基于上述数据可计算得到能源消耗量与相关成本。此外还采集了人工植株测量数据，用于评估最终收获成果。
数据集包含以下内容：
1. Timeseries.zip：包含5分钟间隔的温室气候、调控状态与气象数据，以及与产量相关的植株测量数据（含果实数量、重量及成熟度）。
2. Canopy_camera.zip：针对每个温室隔间，配备一台冠层RGBD相机，在两个月的实验周期内每日拍摄4次图像，用于监测各隔间的作物生长过程。

搜集汇总

背景与挑战

背景概述

该数据集包含第四届自主温室挑战赛中矮番茄种植实验的时间序列和冠层图像数据，涵盖温室气候、控制状态、植物生长指标等信息。数据采集于荷兰瓦赫宁根大学的研究温室，通过传感器和手动测量获得，用于评估智能算法在温室控制中的应用效果。