Machine vision extracted plant movement for early detection of plant water stress
Machine vision extracted plant movement for early detection of plant water stress
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DOI：
10.13031/2013.9923
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发表时间：
2002-07-01
期刊：
影响因子：
--
通讯作者：
Short, TH
中科院分区：
文献类型：
--
作者：
Kacira, M;Ling, PP;Short, TH
建立了一种利用机器视觉提取植物特征，对植物水分胁迫进行早期、非接触、定量检测的方法。顶部投影冠层面积（TPCA）的植物图像提取使用图像处理技术：水分胁迫引起的植物运动解耦植物昼夜运动和植物生长的相对变异系数TPCA（CRVTPCA），被认为是一个有效的标记水分胁迫检测。用参数法确定了CRVTP A作为水分胁迫指标的阈值。针对操作员检测应力的时间，评价了传感技术的有效性。研究结果表明，利用投影冠层面积的植物特征进行植物水分胁迫检测是可行的。
A methodology was established for-early, non-contact, and quantitative detection of plant water stress with machine vision extracted plant features. Top-projected canopy area (TPCA) of the plants was extracted from plant images using image processing techniques: Water stress induced plant movement was decoupled from plant diurnal movement and plant growth using coefficient of relative variation of TPCA (CRVTPCA) and was found to be an effective marker for water stress detection. Threshold value of CRVTP A as an indicator of water stress was determined by a parametric approach. The effectiveness of the sensing technique was evaluated against the timing of stress detection by an operator. Results of this study suggested that plant water stress detection using projected canopy area based features of the plants was feasible.