Implementation of Automation System for Humidity Monitoring and Irrigation System

Smart farming, precision agriculture or smart-agriculture is a modern agricultural technique that has been widely practiced in developed countries to meet the challenges of increasing demand for food. Smart farming involves a variety of communication and information technologies to improve the quality and quantity of agricultural commodity crops. One application of technology in smart farming is plant cultivation automation system. The automation system for irrigation system will cause the efficiency of energy, time, and amount of water used. This paper discusses the implementation of the soil moisture sensor YL-69 to automate the sprinkler system. Monitoring of sensor measurement is displayed on LCD screen and displayed on line and real time on the website. The test results show if the sensor shows soil moisture value below 15%, the relay will turn on the water pump and turn it off when the moisture value reach 45% with the respond time about 1.29 second. On line test results show the displayed value in LCD equals to the value displayed in the websit

On the Design of Watering and Lighting Control Systems for Chrysanthemum Cultivation in Greenhouse Based on Internet of Things

Two things that are very influential on the growth of Chrysanthemum are moisture and lighting. This research aims to make the system of watering and lighting control, and monitoring of soil moisture on the cultivation of Chrysanthemum in IoT-based Greenhouse. This research combines the concept of the Internet of Things and control system. The temporary results of this research are the application of lamp control and website-based pumps that are compatible on Android at least version 4.2, iOS, and windows also various browsers. The WEMOS D1 mini ESP8266 module is used as a controller and webserver of this Chrysanthemum irrigation and lighting system. The system is tested with wireless connections within a limited range, with an average response time of 0.5 seconds and an average connection speed of 58 Mbps

Exploration of new functional endpoints in neuro-2a cells for the detection of the marine biotoxins saxitoxin, palytoxin and tetrodotoxin

Marine neurotoxins accumulate in seafood and therewith represent a threat for consumers. At the European level, the use of in vivo bioassays is banned from 2015 onwards, except for the control of production areas. Cytotoxicity in the neuro-2a assay has been shown a promising in vitro alternative. However, given that cytotoxicity may be sensitive to confounding factors the current study investigates the suitability of functional endpoints as alternatives to cytotoxicity for the detection of marine neurotoxins. Microarray analyses were performed following exposure of neuro-2a cells to three marine neurotoxins (palytoxin (PlTx), saxitoxin (STX) and tetrodotoxin (TTX)) to identify genes up- or down-regulated that can be used as biomarkers for screening purposes. In addition to microarrays, the voltage dependent fluorescent probe bisoxonol was used to assess changes in cellular membrane potential. Biomarkers based on mRNA expression were detected for PlTx but not for STX and TTX. STX and TTX decreased the fluorescence of bisoxonol while PlTx showed no effect. When using cytotoxicity as the read out the neuro-2a assay detects these three neurotoxins at similar concentrations. Therefore it is concluded that the newly investigated endpoints in the neuro-2a assay are not preferred over cytotoxicity in a suitable broad and sensitive bioassay for the detection of marine neurotoxins in real practic

A Sequential Mixed Method Study of Employee Job Satisfaction in Upscale Restaurants, Malaysia

From Crossref journal articles via Jisc Publications RouterHistory: epub 2023-09-06, issued 2023-09-06, published 2023-09-06Article version: VoRPublication status: PublishedThe study determines the main factors affecting job satisfaction in upscale restaurants and their degree of comparative influence. The research initially involves qualitative data analysis of 20 interviews with restaurant employees representing five upscale restaurants in Kuala Lumpur (KL), followed by structural equation modeling of data retrieved from 368 questionnaires from 16 KL restaurants. The impact variance of four main determinants of job satisfaction are revealed, where the “working environment” has the highest impact, followed by “payment and compensation,” “promotion”, and finally, “workplace fairness”. Crucially, “workplace relationships” have a moderating effect on the relationship between the “work environment” and job satisfaction, implicating industry-applied recommendations to strengthen job satisfaction levels.aheadofprintaheadofprin