基于顶部投影冠层面积的非循环水培营养水位控制

Hurriyatul Fitriyah, Agung Setia Budi, Rizal Maulana, Eko Setiawan
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引用次数: 0

摘要

深水栽培水培法不需要经常打开电泵,适合大规模种植。然而,这种方法需要一个电动曝气器来给根部提供氧气。克拉特基水培法和干式水培法是两种方法,建议在木筏和营养水位之间存在气隙。这个空隙在没有曝气泵的情况下为根部提供氧气。精确农业需要控制养分水位,以提供良好的气隙距离。以往的根长估计是通过手动打开木筏进行的,但本研究推广了使用相机进行自动和非接触估计。利用不同的回归方法,基于顶投影冠层面积(TPCA)预测根系长度。测试表明,TPCA与根长度有很高的相关性(>0.9)。为了控制营养物水位,本研究比较了If-Else和线性回归。使用超声波传感器测量的实际水平与设定值之间的误差被馈送到Arduino Uno以控制入口泵和出口泵的持续时间。If-Else法和线性回归法均取得了较好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Controlling the Nutrition Water Level in the Non-Circulating Hydroponics based on the Top Projected Canopy Area
Deep Water Culture Hydroponics is suitable for a large-scale plantation as it does not require turn-on the electric pump constantly. Nevertheless, this method needs an electric aerator to give Oxygen to the roots. Kratky’s and Dry Hydroponics are the two methods that suggest an air gap between the raft and the nutrient water level. The gap gives Oxygen to the roots without an aeration pump. Controlling the nutrient water level is required to give a good distance of air gap for Precision Agriculture. The root length estimation used to be done manually by opening the raft, but this research promotes automatic and non-contact estimation using the camera. The images are used to predict the root length based on the Top Projected Canopy Area (TPCA) using various Regression Methods. The test shows that the TPCA gives a high correlation toward the Root Length (>0.9). To control the nutrient water level, this research compares If-Else and the Linear Regression. The error between the actual level that is measured using an Ultrasonic sensor and the setpoint is fed to an Arduino Uno to control the duration of an inlet pump and the outlet pump. The If-Else and the Linear Regression method show good results.
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