Development and evaluation of a novel sensor for noninvasively investigating corn ear dehydration

IF 7.7 1区农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY

Computers and Electronics in Agriculture Pub Date : 2025-05-08 DOI:10.1016/j.compag.2025.110437

Yang Xiang , Liu-Deng Zhang , Hai-Ying Zheng , Ao-Wen Wang , Ke-Lei Xia , Zhong-Yi Wang , Lan Huang , Li-Feng Fan

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引用次数: 0

Abstract

Noninvasive investigation of corn ear dehydration is of great significance for breeding corn varieties, mechanized harvesting, and post-harvest storage, especially before physiological maturation. However, it remains a challenge to noninvasively monitor the moisture content of corn kernel layers with husk cover in situ during the R5-R6 maturation period. In this study a method that eliminates the impact of the corn husk by using the difference in the fringe field area of two measuring electrodes is proposed. In addition, a lumped LC circuit model of a quarter-wavelength transmission line was established to minimize the sensor probe. A continuous moisture monitoring sensor system for in situ corn ear kernels was then developed and calibrated to investigate corn ear dehydration in a greenhouse over a 30-d period. The results showed that within the range of 19–55% moisture content in the corn ear kernel layer, the linear fitting R² of the two sensors were 0.8046 and 0.8257, respectively, and the moisture measurement errors were 8.6% and 8.2% at the 95% confidence level. Diurnal physiological variations in corn ear moisture content have been observed in situ, and corn ear moisture content has been continuously monitored to investigate corn ear dehydration before physiological maturation. In summary, this study provided a new method for investigating corn ear dehydration for corn breeding.

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一种新型无创检测玉米穗脱水传感器的研制与评价

玉米穗脱水的无创研究对玉米品种选育、机械化收获、采后尤其是生理成熟前的贮藏具有重要意义。然而，在R5-R6成熟期，对有壳层玉米籽粒含水率进行无创原位监测仍然是一个挑战。本文提出了一种利用两个测量电极边缘场面积的差异来消除玉米外壳影响的方法。此外，建立了四分之一波长传输线的集总LC电路模型，使传感器探头最小化。然后，开发并校准了一种用于原位玉米穗粒的连续水分监测传感器系统，以研究温室中玉米穗在30天内的脱水情况。结果表明，在玉米穗粒层水分含量19 ~ 55%范围内，两种传感器的线性拟合R2分别为0.8046和0.8257，在95%置信水平下，水分测量误差分别为8.6%和8.2%。对玉米穗水分含量的日生理变化进行了原位观察，并对玉米穗水分含量进行了连续监测，以研究玉米穗生理成熟前的脱水情况。本研究为玉米育种研究玉米穗脱水提供了一种新的方法。

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来源期刊

Computers and Electronics in Agriculture 工程技术-计算机：跨学科应用

CiteScore

15.30

自引率

14.50%

发文量

800

审稿时长

62 days

期刊介绍： Computers and Electronics in Agriculture provides international coverage of advancements in computer hardware, software, electronic instrumentation, and control systems applied to agricultural challenges. Encompassing agronomy, horticulture, forestry, aquaculture, and animal farming, the journal publishes original papers, reviews, and applications notes. It explores the use of computers and electronics in plant or animal agricultural production, covering topics like agricultural soils, water, pests, controlled environments, and waste. The scope extends to on-farm post-harvest operations and relevant technologies, including artificial intelligence, sensors, machine vision, robotics, networking, and simulation modeling. Its companion journal, Smart Agricultural Technology, continues the focus on smart applications in production agriculture.