Innovative Design of Intelligent Detection Equipment for Growth Information of Facilityhorticultural Crops
DOI:
https://doi.org/10.24297/jaa.v11i.8737Keywords:
Facility Horticulture, Crop Growth Information, Intelligent Detection Equipment, Multi-Sensor Detection System, Information FusionAbstract
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.
Downloads
References
Jia, L.L., Chen, X. P., Zhang, F.F., Volker, R.,(2004). Use of Digital Camera to Assess Nitrogen Status of Winter Wheat in the Northern China Plain. Journal of Plant Nutri-tion. 27(3), 441-450. DOI:10.1081/PLN-120028872
Ariana,D.P, Lu, R., Guyer,D. E.,(2006). Near-infrared hyperspectral reflectance imaging for detection of bruises on pickling cucumbers. Computers and Electronics in Agriculture.53(1), 60-70.DOI:10.1016/j.compag.2006.04.001
Rodriguez, D., Fitzgerald, G., Christensen, L., (2007). Canopy spectrum and thermal sensing for nitrogen and water deficit in rained and irrigated wheat environments. Remote Sensing of Environment . 38: 121-137.
Qin, J. W., Thomas, F., Burks, W. Gordon Bonn.(2009). Detection of citrus canker using hyperspectral reflectance imaging with spectral information divergence. Journal of Food Engineering. 93(2), 183-191 DOI:10.1016/j.jfoodeng.2009.01.014
Pagola, M., Ortiz, R., Irigoyen. I. , Bustince, H., Barrenechea, E., Aparicio-Tejo, P., Lasa,B., (2008). New method to assess barley nitrogen nutrition status based on image colour analysis.Computers and electronics in agriculture. 65(2), 213-218. DOI:10.1016/j.compag.2008.10.003
Zhao, J. W., Zhou, X. B., (1999). Foundamental Study on Determination of Leaves' Moisture Content Based on Near Infrared Image Texture Analysis.Transactions of Chinese Society of Agricultural Engineering.15(3):39-43.
Lei, S. L., Sun Z. F., Lei T. L.,(2005).Response of stem diameter of vegetable crops to soil moisture in greenhouse.Transactions of Chinese Society of Agricultural Engineering.21(7): 116-119.
Downloads
Published
How to Cite
Issue
Section
License
All articles published in Journal of Advances in Linguistics are licensed under a Creative Commons Attribution 4.0 International License.