Early Detection of Toppling Susceptibility in Tulip Using Spectral Imaging

被引:0
作者
Hageraats, Selwin [1 ]
van Vilsteren, Sjoerd [1 ]
Polder, Gerrit [1 ]
Trompert, John [1 ]
Wildschut, Jeroen [1 ]
机构
[1] Wageningen Univ & Res, Greenhouse Hort & Flower Bulbs, Wageningen, Netherlands
来源
IFAC PAPERSONLINE | 2022年 / 55卷 / 32期
关键词
Tulip; plant disorder; plant health; greenhouse; protected horticulture; spectral imaging; spectroscopy; machine learning; image processing;
D O I
10.1016/j.ifacol.2022.11.132
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Forcing tulips is a process that mimics the conditions of winter and early spring in a controlled environment to make the tulips bloom months earlier than they would if grown in the open field. In this process, it is essential that the relative humidity in the growing environment is kept sufficiently low. Otherwise, there is an increased risk of the tulips losing solidity and eventually toppling over. Since maintaining this lower humidity demands a lot of energy, it is most cost-efficient to maintain the highest possible relative humidity while still maintaining a rigid flower stem. In order to find the optimal balance between stem rigidity and energy consumption, a monitoring technique is developed that can recognize early signs of the type of high-humidity exposure that eventually leads to toppling. The monitoring technique is based on spectral imaging and a linear classifier that predicts whether the tulips have been forced in an adequately ventilated environment or a poorly ventilated, high-RH enclosure. The model's classification accuracy was found to reach 100% 6-10 days before toppling occurs. Copyright (C) 2022 The Authors.
引用
收藏
页码:159 / 164
页数:6
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