Design of Fertilizer Analysis System for Precision Fertilizer Application

The traditional fertilizer application method relies on experience to apply fertilizer on a large scale, which has problems such as fertilizer waste and environmental pollution, and affects the sustainable development of agriculture. For this reason, this paper designs and realizes a set of precision fertilizer application control systems containing sensors, decision-making, and positioning systems. Among them, the sensor system senses the real-time crop and soil status through soil moisture sensors, temperature sensors, and crop growth sensors; the decision-making system uses a high-performance processor, a variety of data transmission interfaces, data processing, and storage modules, and decision-making algorithm execution units to process and analyze the sensor data and generate the decision of fertilizer application. The localization system is based on the hardware of LIDAR, development boards, etc., as well as the SLAM map building, and AMCL positioning algorithm to achieve accurate positioning; through these three systems to fully regulate the fertilization to achieve precision fertilization.

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Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1109/icairc64177.2024.10899975
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.00

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Design of Fertilizer Analysis System for Precision Fertilizer Application

Yu‐Yao Huang, Y.X Chen, Chunling Lang, Fei Lu et al.
Robotic Path Planning Algorithms
article

Design of Fertilizer Analysis System for Precision Fertilizer Application

Yu‐Yao Huang, Y.X Chen, Chunling Lang, Fei Lu, Qiang Wei, Kaining Mo
article en

Abstract

The traditional fertilizer application method relies on experience to apply fertilizer on a large scale, which has problems such as fertilizer waste and environmental pollution, and affects the sustainable development of agriculture. For this reason, this paper designs and realizes a set of precision fertilizer application control systems containing sensors, decision-making, and positioning systems. Among them, the sensor system senses the real-time crop and soil status through soil moisture sensors, temperature sensors, and crop growth sensors; the decision-making system uses a high-performance processor, a variety of data transmission interfaces, data processing, and storage modules, and decision-making algorithm execution units to process and analyze the sensor data and generate the decision of fertilizer application. The localization system is based on the hardware of LIDAR, development boards, etc., as well as the SLAM map building, and AMCL positioning algorithm to achieve accurate positioning; through these three systems to fully regulate the fertilization to achieve precision fertilization.

Jiangxi Science and Technology Normal University (CN)
Guangxi Normal University
Zero hunger
Openalex Percentile: Top 72%
Robotic Path Planning Algorithms
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