The researcher has discussed the application of control theory that has contributed to control the pandemic situation of COVID-19. The researcher has shown the importance of applying the theory to control any situation such as a pandemic. The control theory application is used to give feedback for any issues which have been highly affected in global context. The researcher has shown the impact of the control theory application for controlling the COVID-19 pandemic situation.

Computer graphics and visualization  Technology  Computer and Network Security 

Doi:10.36647/TTACA/01.01.A001

The study examines the effectiveness of “web-based decision support systems” on business companies as well as the usage of thin-client in the process. It is identified that the web based DSS process provides essential information and helps the managers to make effective decisions for the companies. On the other hand, a thin client is a computer that runs based on the stored data in a central server instead of a hard disk. The researcher has used methods and techniques to gain knowledge and infor...

Artificial Intelligence  Big Data Search and Mining  Technology 

Doi:10.36647/TJAEE/01.01.A001

In this Research, Fuzzy Logic guideline move system for self-developing Fuzzy neural deduction systems is anticipated. Highlights of proposed strategy, named (CFCM-DDNFS)Collaborative Fuzzy Clustering Mechanism & Data Driven Fuzzy Neural System mechanismwere; (1) Fuzzy guidelines are produced simply by Fuzzy c-means (FCM) and afterward adjusted by the (PCFC)preprocessed synergistic Fuzzy clustering method, and (2) Boundary & Structured learning are accomplished at the same time without choosing ...

Artificial Intelligence  Big Data Search and Mining  Technology  Machine Learning 

Doi:10.36647/CIML/01.01.A001

【Objective】 A goose incubator monitoring system based on programmable logic controller (PLC) and cloud platform was designed in order to improve the incubation performance of goose eggs, and to solve the problems of low automation, large temperature fluctuations, poor temperature robustness, and complex on-site operations in the incubation process of the existing goose incubator.【Method】 Based on the technological requirements in the incubation process of goose eggs and the working principle of ...

Agricultural Science  Technology  Agricultural Engineering  Agronomy 

Doi:10.7671/j.issn.1001-411X.202104023

【Objective】 While detecting the concentration of organophosphorus pesticides in natural water by ultraviolet-visible absorption spectroscopy method, the detection accuracy was easily interfered by the turbidity caused by suspended solids in the natural water, therefore the natural water containing organophosphorus pesticides was needed to be pretreated (filtered) before detection. This paper studied the effects of different filtration conditions on the absorption spectra and concentration predic...

Agricultural Science  Technology  Agricultural Engineering  Agronomy 

Doi:10.7671/j.issn.1001-411X.202103033

【Objective】 In order to accurately and effectively detect data anomalies from agricultural internet of things, one detection method of abnormal agricultural data based on broad convolution neural network (BCNN) was proposed for providing a reference for achieving high-quality data collection in agricultural internet of things.【Method】 Firstly, the standardized agricultural data were encoded as polar coordinates, and then they were divided into subsets by sliding window mechanism. Subsequently, t...

Agricultural Science  Technology  Agronomy 

Doi:10.7671/j.issn.1001-411X.202103050

【Objective】 In order to measure the number of tomato fruits at different ripening stages in greenhouse, a method based on color point cloud images was proposed.【Method】 The image information of tomato in greenhouse was collected by KinectV2.0 on the mobile platform to synthesize the tomato plant point cloud, then the tomato plant point clouds from two perspectives were synthesized into a point cloud, and the point cloud of nearby tomato plant was obtained by depth information interception. The l...

Agricultural Science  Technology  Agronomy 

Doi:10.7671/j.issn.1001-411X.202105021

【Objective】 The purpose of this article is to monitor cotton pest in field based on Logistic algorithms and multi-spectral remote sensing images.【Method】 The cotton areas with insect pests were selected as the research object. The multi-spectral remote sensing images of cotton field were acquired by UAV, and then pre-processed. Based on the spectral characteristics of cotton pests, the Logistic regression model was constructed by the reflectivity of pest-sensitive band and vegetation index to id...

Agricultural Science  Technology  Agricultural Engineering  Agronomy 

Doi: 10.7671/j.issn.1001-411X.202106004

【Objective】 In order to realize the precise application of herbicides for lawn weed management, an improved fuzzy C-means (FCM) clustering segmentation algorithm was proposed to solve the problem that it is difficult to segment weeds due to the similar color between weeds and lawns in natural environment.【Method】 The region of interest was extracted by extra-green operator, and the multi-channel information in HSV space was incorporated for image preprocessing to expand the feature difference be...

Agricultural Science  Technology  Agricultural Engineering  Agronomy 

Doi: 10.7671/j.issn.1001-411X.202109005

【Objective】 In view of the current situation that the quality of transplanting is mainly based on manual observation and random sampling in China, it is proposed to use the convolutional neural network GoogLeNet to recognize the morphology of rice seedlings.【Method】 Firstly, clear and intact images of rice seedlings were obtained by UAV aerial photography at low altitude. Data sets of floating seedlings, damaged seedlings and qualified seedlings were made by cutting and marking. Then, based on t...

Agricultural Science  Technology  Agricultural Engineering  Agronomy 

Doi: 10.7671/j.issn.1001-411X.202107041