Intelligent Fertilization System Based on Image Recognition

Author(s):  
Zhe Sun ◽  
Wei Feng ◽  
Jintao Jin ◽  
Qujiang Lei ◽  
Guangchao Gui ◽  
...  
2020 ◽  
Vol 39 (4) ◽  
pp. 5699-5711
Author(s):  
Shirong Long ◽  
Xuekong Zhao

The smart teaching mode overcomes the shortcomings of traditional teaching online and offline, but there are certain deficiencies in the real-time feature extraction of teachers and students. In view of this, this study uses the particle swarm image recognition and deep learning technology to process the intelligent classroom video teaching image and extracts the classroom task features in real time and sends them to the teacher. In order to overcome the shortcomings of the premature convergence of the standard particle swarm optimization algorithm, an improved strategy for multiple particle swarm optimization algorithms is proposed. In order to improve the premature problem in the search performance algorithm of PSO algorithm, this paper combines the algorithm with the useful attributes of other algorithms to improve the particle diversity in the algorithm, enhance the global search ability of the particle, and achieve effective feature extraction. The research indicates that the method proposed in this paper has certain practical effects and can provide theoretical reference for subsequent related research.


2018 ◽  
Vol 5 (2) ◽  
pp. 37-51 ◽  
Author(s):  
O. Demydenko ◽  
Yu. Zapasna ◽  
V. Velychko

Aim. To substantiate the agroecological estimation of the performance of a short crop rotation in conditions of intense and organic system of fertilization on the basis of restoring normative parameters of emission and se- questration of С-СО 2 circulation while using by-products as organic fertilizers in conditions of modern climatic system of the Forest-Steppe of Ukraine. Methods. Field, statistical, laboratory. Results of Investigations. The performance of short crop rotations is determined by the capacity of С-СО 2 balance. Strong inverse correla- tion was found between the capacity of N and the ratio between C and N in the agrocenosis, which demon- strated that enhancing the humifi cation processes (ratio constriction) led to the increase in the capacity of С org balance and the decrease in the capacity level of С-СО 2 balance (enhancing mineralization), related to the reduction in the performance of crops in the agrocenosis of a crop rotation compared to the organic system of fertilization. The capacity of С-СО 2 and С org balance correlates at the medium level of inverse direction, and the yield of the main products, feed units and digestible protein correlates at the level of strong direct correlation. Conclusions. General mineralization of by-products and humus in the agrocenosis and humifi cation processes are antagonists, so extending the ratio between С and N at the intense fertilization system stimulates the in- crease in performance and reducing С to N similar to the organic fertilization system enhances the humifi cation process due to binding of С org into humus and limits mineralization which leads to the reduction in agrocenosis performance at the organic fertilization system.


2012 ◽  
Vol 71 (17) ◽  
pp. 1565-1574 ◽  
Author(s):  
O. M. Gafurov ◽  
V. I. Syryamkin ◽  
A. O. Gafurov ◽  
S. S. Stolyarova

2007 ◽  
Vol 1 (4) ◽  
pp. 62-69
Author(s):  
Milhled Alfaouri ◽  
◽  
Nada N. Al-Ramahi ◽  

2019 ◽  
pp. 161
Author(s):  
Jamal Mustafa Al-Tuwaijari ◽  
Suhad Ibrahim Mohammed

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