Abstract

Intelligent equipment technology for facility horticulture is an urgent need for the development of modern facility agriculture.The intelligent monitoring equipment for greenhouse crop growth information can comprehensively monitor the nutrition, growth and environmental information of crops, and provide a scientific basis for the optimal regulation and control of water, fertilizer and environment in the greenhouse. It is a key equipment for the intelligentization of facility horticulture. This research aims at different growth stages In accordance with the testing needs of different plant-shaped crops and the operational needs of the unstructured environment in the greenhouse, we developed wheeled and tracked crop growth and environmental information monitoring systems that can autonomously cruise in the greenhouse;at the same time, in order to meet the detection needs of large-plant crops, a cantilever type crop information monitoring system has also been developed. This system suspends the multi-sensor detection system through the gimbal and installs it on the orbit track laid on the greenhouse truss. Because the detection position is high, it is realized the cruise monitor of greenhouse plants such as cucumber and tomato. In order to achieve comprehensive detection of crop growth information, a multi-sensor detection system for horticultural crop information has been developed. It uses visible-near-infrared binocular multi-spectral cameras, infrared detection sensors, laser ranging sensors, ambient temperature and humidity and light sensors. through the multiple sensor information fusion, implements the facilities horticulture crops nutrition, growth and the comprehensive monitoring of environmental information. Good application effect has been achieved.

Highlights

  • Most of the greenhouses in China still use manual management, the irrigation method using large water and large fertilizer and the traditional setpoint control method result in a mechanization rate of only 17%, and the JOURNAL OF ADVANCES IN AGRICULTURE Vol 11 (2020) ISSN: 2349-0837 https://rajpub.com/index.php/jaa degree of intelligence is almost zero(Jia et al, 2004).The degree of mechanization of the facility industry in developed countries such as the Netherlands has reached nearly 80%, and the application of intelligent equipment such as factory nursery, comprehensive information monitoring, water and fertilizer regulation and automatic harvesting is more common(Ariana et al, 2006)

  • In view of the fact that the current greenhouse environment is not accurately controlled according to the plant growth status and the actual needs of plant growth, resulting in low crop yields and high operating energy consumption, the use of dual-position multispectral vision, characteristic spectrum, polarization, infrared temperature detection is proposed Multi-source information fusion technology for rapid monitoring of nitrogen, phosphorus and potassium nutrition levels of facility vegetables, and the use of binocular visual images, laser ranging and displacement sensors for plant crown width, stem thickness, plant height, and plants and fruits On-line detection technology for growth information such as growth rate has achieved accurate acquisition of greenhouse crop information. On this basis, based on mobile and cantilever detection platforms, we have developed a system that can adapt to the detection needs of different facilities and perform comprehensive, accurate and real-time plant sensing

  • Multi-platform testing equipment for growth information such as growth and nutrition provides a scientific basis for the optimal regulation of greenhouse water, fertilizer and environment(Qin et al, 2009)

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Summary

Introduction

Most of the greenhouses in China still use manual management, the irrigation method using large water and large fertilizer and the traditional setpoint control method result in a mechanization rate of only 17%, and the JOURNAL OF ADVANCES IN AGRICULTURE Vol 11 (2020) ISSN: 2349-0837 https://rajpub.com/index.php/jaa degree of intelligence is almost zero(Jia et al, 2004).The degree of mechanization of the facility industry in developed countries such as the Netherlands has reached nearly 80%, and the application of intelligent equipment such as factory nursery, comprehensive information monitoring, water and fertilizer regulation and automatic harvesting is more common(Ariana et al, 2006). On this basis, based on mobile and cantilever detection platforms, we have developed a system that can adapt to the detection needs of different facilities and perform comprehensive, accurate and real-time plant sensing.

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