scholarly journals The Colonization of Grape Bunch Trash by Microorganisms for the Biocontrol of Botrytis cinerea as Influenced by Temperature and Humidity

Agronomy ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 1829
Author(s):  
Giorgia Fedele ◽  
Chiara Brischetto ◽  
Elisa González-Domínguez ◽  
Vittorio Rossi
Keyword(s):  
Relative Humidity ◽  
Bacillus Amyloliquefaciens ◽  
Aureobasidium Pullulans ◽  
Weather Conditions ◽  
Combined Effects ◽  
Trichoderma Atroviride ◽  
Coefficients Of Variation ◽  
Colony Forming Units ◽  
Metschnikowia Fructicola ◽  
Colonization Period

Six commercial biocontrol agents (BCAs: Aureobasidium pullulans, Bacillus amyloliquefaciens, B. amyloliquefaciens plantarum, B. subtilis, Metschnikowia fructicola, or Trichoderma atroviride) were applied to bunch trash that was then incubated at one of five temperatures (T, 15, 20, 25, 30, and 35 °C) and one of five relative humidity levels (RH, 60, 80, 90, 95, and 100%). After 1 to 13 days of incubation (BCA colonization period), the number of colony forming units (CFUs) was assessed. The colonization of bunch trash in response to T/RH conditions and BCA colonization period differed among the BCAs; the coefficients of variation among the BCAs ranged from 104.6 to 397.7%. Equations were developed that accounted for the combined effects of the T, RH, and BCA colonization period on BCA colonization of bunch trash. Assuming that the equations, which had an R2 > 0.87, correctly predict BCA growth under field conditions, they would help farmers select the BCA to be used for a specific application based on weather conditions at the time of treatment and in the following days. The equations would also help predict how long an early season BCA application remains effective and thereby help farmers decide whether and when a second BCA application may be needed.

scholarly journals Prediction of Pest Insect Appearance Using Sensors and Machine Learning

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4846
Author(s):  
Dušan Marković ◽  
Dejan Vujičić ◽  
Snežana Tanasković ◽  
Borislav Đorđević ◽  
Siniša Ranđić ◽  
...  
Keyword(s):  
Machine Learning ◽  
Relative Humidity ◽  
Weather Conditions ◽  
Daily Basis ◽  
Machine Learning Algorithms ◽  
Lower Percentage ◽  
Timely Manner ◽  
Proposed Model ◽  
Set Up ◽  
Accuracy Of Prediction

The appearance of pest insects can lead to a loss in yield if farmers do not respond in a timely manner to suppress their spread. Occurrences and numbers of insects can be monitored through insect traps, which include their permanent touring and checking of their condition. Another more efficient way is to set up sensor devices with a camera at the traps that will photograph the traps and forward the images to the Internet, where the pest insect’s appearance will be predicted by image analysis. Weather conditions, temperature and relative humidity are the parameters that affect the appearance of some pests, such as Helicoverpa armigera. This paper presents a model of machine learning that can predict the appearance of insects during a season on a daily basis, taking into account the air temperature and relative humidity. Several machine learning algorithms for classification were applied and their accuracy for the prediction of insect occurrence was presented (up to 76.5%). Since the data used for testing were given in chronological order according to the days when the measurement was performed, the existing model was expanded to take into account the periods of three and five days. The extended method showed better accuracy of prediction and a lower percentage of false detections. In the case of a period of five days, the accuracy of the affected detections was 86.3%, while the percentage of false detections was 11%. The proposed model of machine learning can help farmers to detect the occurrence of pests and save the time and resources needed to check the fields.

Statistical Analysis of Weather Effects on PM2.5

2012 ◽  
Vol 610-613 ◽  
pp. 1033-1040
Author(s):  
Wei Dai ◽  
Jia Qi Gao ◽  
Bo Wang ◽  
Feng Ouyang
Keyword(s):  
Statistical Analysis ◽  
Wind Speed ◽  
Relative Humidity ◽  
Statistical Methods ◽  
Predictive Analytics ◽  
Hypothesis Test ◽  
Meteorological Data ◽  
Weather Conditions ◽  
Statistical Distribution ◽  
Weather Effects

Effects of weather conditions including temperature, relative humidity, wind speed, wind and direction on PM2.5 were studied using statistical methods. PM2.5 samples were collected during the summer and the winter in a suburb of Shenzhen. Then, correlations, hypothesis test and statistical distribution of PM2.5 and meteorological data were analyzed with IBM SPSS predictive analytics software. Seasonal and daily variations of PM2.5 have been found and these mainly resulted from the weather effects.

scholarly journals Indoor Air Quality (IAQ): Accuracy of Natural Ventilation for Temperature, Air Flow Rate and Relative Humidity (RH) in School Building Classrooms

2018 ◽  
Vol 7 (3.9) ◽  
pp. 42
Author(s):  
Norsafiah Norazman ◽  
Adi Irfan Che Ani ◽  
Nor Haslina Ja’afar ◽  
Muhamad Azry Khoiry
Keyword(s):  
Air Quality ◽  
Relative Humidity ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Natural Ventilation ◽  
Air Flow ◽  
Weather Conditions ◽  
Potential Health ◽  
The Hours ◽  
Hot Weather

Indoor Air Quality (IAQ) is an essential matter in achieving students’ satisfaction for the learning process. Building’s orientation is a factor that may encourage sufficient natural ventilation for the classroom occupants. Inadequate ventilation is an issue for most existing classrooms. The purpose of this paper is to analyze the accuracy of natural ventilation in classrooms. Therefore, experimental on 20 classrooms has been conducted by using Multipurpose Meter at secondary school buildings in Malaysia. The findings indicated that the accuracy of natural ventilation testing was below the permissible limits throughout the hours monitored, thus this may cause potential health hazards to the students. Temperature and air flow rates were lower than 23 °C and 0.15 m/s respectively, it fulfilled the basic requirements as a standard learning environment. However, measurements taken showed the overall relative humidity (RH) in the classrooms can be categorized as acceptable with 40% to 70% range. On the basis of these findings, it is evident that naturally ventilated classrooms are important especially due to energy efficiency, whereas mechanical ventilation should only be installed as an alternative under extremely hot weather conditions.   

scholarly journals Measurements and correlations between several atmospheric parameters

2008 ◽  
Vol 6 (1) ◽  
pp. 99-104 ◽  
Author(s):  
Predrag Kolarz ◽  
Dusan Filipovic
Keyword(s):  
Relative Humidity ◽  
Inverse Correlation ◽  
Weather Conditions ◽  
Atmospheric Parameters ◽  
Air Ions ◽  
Ion Concentrations ◽  
Humidity Measurements ◽  
A Site ◽  
Made In ◽  
Strong Inverse Correlation

Diurnal atmospheric air-ion concentrations have been investigated at a site where synchronous aerosol, ozone, temperature and relative humidity measurements were also made. Air-ions, temperature and relative humidity were measured with Gerdien type Cylindrical Detector of Air-Ions (CDI-06) made in the Institute of Physics, Belgrade. Ozone and aerosols were measured with commercial instruments owned by the Institute of Public Health, Belgrade. Typical daily variations of the measured parameters were analyzed and showed that air-ions of both signs and ozone are positively correlated, while aerosols show strong inverse correlation with air-ions. Also, concentrations of air-ions and ozone are decreasing with temperature while aerosol concentration and humidity are increasing. These processes could be explained concerning properties of the specified parameters, measuring place properties and weather conditions.

The level of manifestation and variation of biometric indicators of spring barley samples of collection of Uman national university of horticulture

2021 ◽  
Vol 1 (98) ◽  
pp. 76-84
Author(s):  
Zh. M. Novak ◽  
Keyword(s):  
Plant Height ◽  
Spring Barley ◽  
Geographic Origin ◽  
Weather Conditions ◽  
Early Spring ◽  
Climatic Conditions ◽  
Spike Length ◽  
Coefficients Of Variation ◽  
National University ◽  
Average Plant

Different weather conditions provide unequal growth and development of plants, in addition, biotypes react differently to changes in external environmental factors. Scientists from Ukraine and other countries analyze varieties and samples of spring barley for the purpose of determine donors of useful traits in different soil and climatic conditions. For the purpose of combine a number of useful traits in one genotype, hybridization between geographically distant biotypes is used. Uman National University of Horticulture has a collection of spring barley samples by different geographic origin. The analyze of breeding material by biometric traits, which will allow us to determine the level of manifestation of each of them in different conditions of 2018–2020 and to determine the donors of useful traits for the further breeding process, was carried out. The weather conditions of the years of research were very different. 2018 was the most unfavorable year for early spring crops. The reason for this was the presence of snow cover until the end of March. After that were strong heat and lack of precipitation. 2019 and 2020 were more favorable for spring barley due to the long cool spring. In addition, in 2020, May and June characterized by increased rainfall. The average plant height of the studied biotypes ranged from 50 to 64 cm. Most samples had the lowest plant height 40–57 cm in 2018, and the highest – in 2020 – from 54 to 88 cm. The average spike length of the analyzed samples was 5.9–8.1 cm. There was not dependence between conditions of the research year and spike length. The number of spikelets per spike was naturally determined by the research conditions. The lowest indicators were observed in 2018 — from 7.0 to 12.0 units, while in 2019 — 16.6–23.9 units, and in 2020 — 20.2–27.7 units. The variation of plant height of the analyzed samples was medium and significant with coefficients from 13.7 to 32.6 %. There was a slight, medium and significant variation of the length of the ear (V = 2.9–23.6 %). The index of number of spikelets per spike most varied — the coefficients of variation were 32.6–55.5 %.

scholarly journals Perceived Influence of Weather Conditions on Rheumatic Pain in Romania

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Adina-Eliza Croitoru ◽  
Gabriela Dogaru ◽  
Titus Cristian Man ◽  
Simona Mălăescu ◽  
Marieta Motricală ◽  
...  
Keyword(s):  
Relative Humidity ◽  
Pain Intensity ◽  
Air Temperature ◽  
Correlation Matrix ◽  
Great Majority ◽  
Weather Conditions ◽  
Weather Variables ◽  
Rheumatic Pain ◽  
Atmospheric Fronts ◽  
The Relationship

The main objective of this study was to analyze the perception of the influence of various weather conditions on patients with rheumatic pathology. A group of 394 patients, aged between 39 and 87 years and diagnosed with degenerative rheumatic diseases, were interviewed individually by using a questionnaire created specifically for this study. Further on, to assess the relationship between pain intensity and weather conditions, a frequency analysis based on Pearson’s correlation matrix was employed. The most important results are as follows: the great majority of the participants (more than 75%) believe that their rheumatic pain is definitely or to a great extent influenced by different weather conditions; most of the patients reported intensification of their pain with weather worsening, especially when cloudiness and humidity suddenly increase (83.8% and 82.0%, respectively), air temperature suddenly decreases (81.5%), and in fog or rain conditions (81.2%). In our research, alongside simple meteorological variables, we established that complex weather variables such as atmospheric fronts, in particular, the cold ones and winter anticyclonic conditions, greatly intensify the rheumatic pain, whereas summer anticyclonic conditions usually lead to a decrease in pain severity. In terms of relationships between pain intensity and weather conditions, we found the strongest correlations (ranging between 0.725 and 0.830) when temperature, relative humidity, and cloudiness are constantly high.

Effect of Plant in Two Atrium Building Comfort: Report on Two Field-Monitored Case Studies

2011 ◽  
Vol 110-116 ◽  
pp. 1958-1962
Author(s):  
Marziyeh Kazemzadeh ◽  
Mansureh Tahbaz
Keyword(s):  
Relative Humidity ◽  
Case Studies ◽  
Thermal Performance ◽  
Weather Conditions ◽  
Heating System ◽  
Measuring Period ◽  
Total Temperature

This paper present the field-measured thermal performance of two atrium building in a clinic center located in Kerman, where winter is cold and dry. The case studies are an enclosed atrium space. The atriums have open corridors at each storey connecting them to adjacent space. The site measurement and monitoring work were carried out for one day covering clear day in November 2010. The weather conditions during the day measuring period were stable and heating system was off. This study will investigated about different temperature of atrium levels with plant and without plant. This study has shown that in cold and clear winter day, when average of external relative humidity in this day was around 9%,in the atrium relative humidity changed between 10%- 22% and total temperature in atrium level were changed between 18'C-28'C. whilst in the atrium without plant this range were between 3%-23% and 15'C-35'C respectively.

scholarly journals Risk Assessment Models for Wheat Fusarium Head Blight Epidemics Based on Within-Season Weather Data

2003 ◽  
Vol 93 (4) ◽  
pp. 428-435 ◽  
Author(s):  
E. D. De Wolf ◽  
L. V. Madden ◽  
P. E. Lipps
Keyword(s):  
Logistic Regression ◽  
Relative Humidity ◽  
Fusarium Head Blight ◽  
Prediction Accuracy ◽  
Regression Models ◽  
Weather Conditions ◽  
Predictor Variables ◽  
Stepwise Logistic Regression ◽  
Head Blight ◽  
Logistic Regression Models

Logistic regression models for wheat Fusarium head blight were developed using information collected at 50 location-years, including four states, representing three different U.S. wheat-production regions. Non-parametric correlation analysis and stepwise logistic regression analysis identified combinations of temperature, relative humidity, and rainfall or durations of specified weather conditions, for 7 days prior to anthesis, and 10 days beginning at crop anthesis, as potential predictor variables. Prediction accuracy of developed logistic regression models ranged from 62 to 85%. Models suitable for application as a disease warning system were identified based on model prediction accuracy, sensitivity, specificity, and availability of weather variables at crop anthesis. Four of the identified models correctly classified 84% of the 50 location-years. A fifth model that used only pre-anthesis weather conditions correctly classified 70% of the location-years. The most useful predictor variables were the duration (h) of precipitation 7 days prior to anthesis, duration (h) that temperature was between 15 and 30°C 7 days prior to anthesis, and the duration (h) that temperature was between 15 and 30°C and relative humidity was greater than or equal to 90%. When model performance was evaluated with an independent validation set (n = 9), prediction accuracy was only 6% lower than the accuracy for the original data sets. These results indicate that narrow time periods around crop anthesis can be used to predict Fusarium head blight epidemics.

A Simple Device for Assessing Wrinkle Performance of Fabrics by Stress Relaxation in Bending

1976 ◽  
Vol 46 (7) ◽  
pp. 525-529 ◽  
Author(s):  
B. M. Chapman
Keyword(s):  
Stress Relaxation ◽  
Relative Humidity ◽  
Test Procedure ◽  
Simple Device ◽  
Test Display ◽  
Coefficients Of Variation ◽  
Wide Range ◽  
Routine Assessment

A simple device for measuring stress relaxation of fabrics in bending is described. It may be used to obtain the viscoelastic and frictional components V and F, which have been shown to determine the recovery of fabrics from bending deformations. A test procedure of relevance to the practical wrinkling situation is suggested and involves the measurement of stress relaxation during a chance in relative humidity. A series of fabrics subjected to this test display a wide range of V and F values exhibiting low coefficients of variation between readings. The instrument should prove useful for analytical or routine assessment of the wrinkling behavior of fabrics.

Hemolymph homeostasis in relation to diel feeding activity and microclimate in the prototypal land isopod Ligia pallasii

2000 ◽  
Vol 78 (4) ◽  
pp. 588-595 ◽  
Author(s):  
Thomas H Carefoot ◽  
Jonathan Wright ◽  
Steven C Pennings ◽  
Andreas Ziegler ◽  
Martin Zimmer ◽  
...  
Keyword(s):  
Relative Humidity ◽  
Feeding Activity ◽  
Weather Conditions ◽  
Time Of Day ◽  
Field Population ◽  
Dietary Salt ◽  
Salt Loading ◽  
Terrestrial Isopods ◽  
Osmotic Homeostasis ◽  
Colonization Of Land

Twenty-four-hour variability in hemolymph osmolality was assessed in a field population of the semiterrestrial isopod Ligia pallasii and related to feeding activity and microenvironmental conditions of relative humidity (RH) and temperature in the species' habitats. Hemolymphs were also analyzed for levels of ammonia and glucose as indicators of digestive and absorptive activities. Comparative data on hemolymph osmolality and microhabitat conditions were also obtained for several ligiid species in Hawai'i. Late-morning peaks in hemolymph osmolality in L. pallasii were coincidental with peaks in ammonia and glucose and with predicted times of digestion/absorption based on observed feeding activity in the population, suggesting that the elevations in osmolality were due to salt-loading from the species' seaweed diet. Uniformity of microenvironmental conditions of RH and temperature in Ligia's supralittoral habitat, whether temperate or tropical, and regardless of time of day or localized weather conditions, suggests that dietary salt-loading is likely the greatest challenge to osmotic homeostasis in ligiids. This feature and other aspects of hemolymph osmolality in ligiids are discussed in the context of colonization of land by prototypal terrestrial isopods.

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