Heyang Yao;Lei Shu;Wei Lin;Kai Huang;Miguel Martínez-García;Xiuguo Zou
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引用次数: 0
Abstract
The solar insecticidal lamp (SIL) is an electronic device designed for physical pest control, widely utilized in orchards and farmland. Currently, the characteristic of the phototactic rhythm of pest is commonly ignored in the design of SILs, hindering pest control. This phenomenon is particularly evident in the prolonged turning
on/off
lamp, which leads to inefficient energy utilization due to the lack of adjustment for peak pest activity. To address this issue, four models based on the phototactic rhythm of pests are developed to adjust the insecticidal timing of SIL for precise pest control. These mathematical models are established considering the phototactic rhythm of four pests that exert the most significant impact on crops, namely
Mythimna seperata
,
Helicoverpa armigera
,
Proxenus lepigone
, and
Cnaphalocrocis medinalis
. The results indicate that mathematical modeling of the phototactic rhythm of the pest is valuable in capturing their nocturnal activity patterns. The proposed mathematical model can help to optimize the
on/off
time of SIL for pest control. The integration of electronic devices, such as SIL in pest management represents a noteworthy advancement in agricultural electronics, contributing to the progress of smart and sustainable agriculture.
太阳能杀虫灯(SIL)是一种用于物理害虫控制的电子装置,广泛应用于果园和农田。目前,太阳能杀虫灯的设计普遍忽视了害虫的趋光性节律特征,从而阻碍了害虫的控制。这种现象在长时间开关灯上表现得尤为明显,由于缺乏对害虫活动高峰期的调整,导致能源利用效率低下。为解决这一问题,我们根据害虫的趋光节律建立了四个模型,以调整 SIL 的杀虫时间,实现精确的害虫控制。这些数学模型是根据对农作物影响最大的四种害虫的趋光性节律建立的,这四种害虫分别是 Mythimna seperata、Helicoverpa armigera、Proxenus lepigone 和 Cnaphalocrocis medinalis。研究结果表明,害虫趋光节律的数学模型对于捕捉害虫的夜间活动模式很有价值。所提出的数学模型有助于优化 SIL 的开/关时间,以控制害虫。将 SIL 等电子设备集成到害虫管理中代表了农业电子领域值得注意的进步,有助于推动智能和可持续农业的发展。
期刊介绍:
The IEEE Open Journal of the Industrial Electronics Society is dedicated to advancing information-intensive, knowledge-based automation, and digitalization, aiming to enhance various industrial and infrastructural ecosystems including energy, mobility, health, and home/building infrastructure. Encompassing a range of techniques leveraging data and information acquisition, analysis, manipulation, and distribution, the journal strives to achieve greater flexibility, efficiency, effectiveness, reliability, and security within digitalized and networked environments.
Our scope provides a platform for discourse and dissemination of the latest developments in numerous research and innovation areas. These include electrical components and systems, smart grids, industrial cyber-physical systems, motion control, robotics and mechatronics, sensors and actuators, factory and building communication and automation, industrial digitalization, flexible and reconfigurable manufacturing, assistant systems, industrial applications of artificial intelligence and data science, as well as the implementation of machine learning, artificial neural networks, and fuzzy logic. Additionally, we explore human factors in digitalized and networked ecosystems. Join us in exploring and shaping the future of industrial electronics and digitalization.