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（Bleiswijk）温室园艺业务部门实验设施举办的第四届国际自主温室挑战赛（4th International Autonomous Greenhouse Challenge）期间。
敬请读者访问竞赛官方补充信息页面：http://www.autonomousgreenhouses.com/。该实验的详细细节刊载于同作者团队撰写的配套论文《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96平方米的研究温室种植隔间内的为期两个月的矮化番茄栽培实验。共有六支国际参赛团队通过智能算法对六个独立种植隔间实现远程自主管控。
本数据集包含原始数据与经处理后的数据。原始数据通过气候监测箱、人工登记记录、外部气象站以及RGBD相机（Red-Green-Blue-Depth Camera）采集得到，据此可计算能耗与相关成本；同时采集了植株人工测量数据，用于评估最终收获产量。
数据集包含以下内容：
Timeseries.zip：包含5分钟间隔的温室气候、控制状态与气象数据，以及与产量相关的植株测量数据（果实数量、重量及成熟度）。
Canopy_camera.zip：针对每个种植隔间，搭载一台冠层RGBD相机，在两个月的实验周期内每日拍摄4次图像，用于监测各隔间的植株生长过程。