spray control
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2021 ◽  
Vol 27 (4) ◽  
pp. 149-154
Author(s):  
Byung-Ryun Kim ◽  
Soo-Sang Hahm ◽  
Mi-Kyung Kwon ◽  
Yun-Jeong Kim ◽  
Woon-Seop Kim ◽  
...  

Pseudoperonospora cubensis (downy mildew) is highly virulent to various Cucurbitaceae crops, including cucumber (Cucumis sativus). We tested chlorine dioxide application in a plastic greenhouse for environmentfriendly control of downy mildew disease. Spraying diluted chlorine dioxide suppressed downy mildew disease with 41.2% control efficacy. Thermal fogging with chlorine dioxide had a high control efficacy of 80.9%, confirming that this approach is useful for environment-friendly downy mildew control. Using thermal fogging to control diseases that are greatly affected by humidity, such as downy mildew, may be more effective compared with conventional dilution spray control methods.


Author(s):  
Guan Li ◽  
Biao Wang ◽  
Xiangli Bu ◽  
Di Wang ◽  
Jingkang He

This paper proposes a spray control system with variable particle size to address the inaccuracy of droplet size control in the existing spray dedusting system. A PID control algorithm with stable air and water pressure is adopted to ensure droplet size uniformity. An experimental device of the droplet control system is built in the laboratory to verify the algorithm’s effectiveness. Experiments were conducted using PLC as the core controller to verify the influence of different types of nozzles on the droplet size under the same air pressure and water pressure through experiments. The results show: (1) the systems droplet size range is 8–200 μm, which meets the dust removal conditions of respirable dust and is suitable for dust removal. (2) When measured under identical experimental conditions, the droplet size decreases as the nozzle angle increases. It was shown that the spray system combined with various sprinklers can achieve full droplet size coverage and improve the efficiency of dust-fall. It provides a solution for the existing dust removal system to flexibly change the droplet size according to the dust size.


Author(s):  
Changju Yang ◽  
Jin-ho Won ◽  
Gookhwan Kim ◽  
Kyung-Do Kwon ◽  
Kyoung-Chul Kim ◽  
...  

2021 ◽  
Vol 27 (11) ◽  
pp. 897-905
Author(s):  
Changju Yang ◽  
Jinho Won ◽  
Gookhwan Kim ◽  
Kyung-Do Kwon ◽  
Kyung-Chul Kim ◽  
...  

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0247029
Author(s):  
Victor Angelo Martins Montalli ◽  
Aguinaldo Silva Garcez ◽  
Laís Viana Canuto de Oliveira ◽  
Marcelo Sperandio ◽  
Marcelo Henrique Napimoga ◽  
...  

Strategies to return to dental practice in pandemic times is a new challenge due to the generation and spread of potentially contaminated dispersion particles (PCDP) that may contain the SARS-CoV-2, the etiological factor of the COVID-19 disease. Due to the significant dispersion of PCDP in the dental environment, the use of equipment such as ultrasonic tips have been inadvisable during the pandemic. Several clinical procedures, however, benefit from the use of such equipment. Thus, using a microbial dispersion model of PCDP, the aim of this study was to compare the dispersion caused by the dental drill (DD) an ultrasonic tip (UT) alone and the UT coupled with a Spray control (SC) device. The DD, UT (with or without the SC) were activated for one minute having had the water from the reservoir replaced with a suspension of Lactobacillus casei Shirota (1.5 x 108 CFU/mL). Petri dishes containing MRS agar were positioned at 50cm, 100cm and 150cm from the headrest of the dental chair at different angles (0 degree and 90 degrees). At 50 cm, the mean CFU (standard deviation) of L. casei Shirota was 13554.60 (4071.03) for the DD, 286.67 (73.99) for the US (97.89% reduction), and 4.5 (0.58) CFU for the UT-SC (p < 0.0001), establishing a further 98.43% reduction between UT and UT with SC. The UT with SC model proved effective in reducing dispersion from the UT, endorsing its use as an additional strategy to reduce PCDP in the dental environment in times of pandemic.


Plant Disease ◽  
2020 ◽  
Author(s):  
Yuba Raj Kandel ◽  
Catherine L. Hunt ◽  
Keith A Ames ◽  
Nicholas Arneson ◽  
Carl Bradley ◽  
...  

Random-effect meta-analyses were performed on data from 240 field trials conducted between 2005 and 2018 across nine U.S. states and Ontario, Canada, to quantify the yield response of soybean after application of foliar fungicides at beginning pod (R3). Meta-analysis showed that the overall mean yield response when fungicide was used compared to not applying a fungicide was 2.7% (110 kg/ha). Moderator variables were also investigated and included fungicide group, growing season, planting date, and base yield, which all significantly influenced the yield response. There was also evidence that precipitation from the time of planting to the R3 growth stage influenced yield when fungicide was used (P = 0.059). Fungicides containing a premix of active ingredients from multiple groups (either two or three ingredients) increased the yield by 3.0% over not applying a fungicide. The highest and lowest yield responses were observed in 2005 and 2007, respectively. Better yield response to fungicides (a 3.0% increase) occurred when soybeans were planted not later than 21 May and when total precipitation between planting and the R3 application date was above historic averages. Temperatures during the season did not influence the yield response . Yield response to fungicide was higher (a 4.7% increase) in average yield category (no spray control yield 2878 to 3758 kg/ha) and then gradually decreased with increasing base yield. Partial economic analyses indicated that use of foliar fungicides is less likely to be profitable when foliar diseases are absent or at low levels.


Insects ◽  
2020 ◽  
Vol 11 (10) ◽  
pp. 714
Author(s):  
Robert Brockman ◽  
Ryan Kuesel ◽  
Kendall Archer ◽  
Kyla O'Hearn ◽  
Neil Wilson ◽  
...  

Brassicaceous leafy greens are an important crop for small growers but are difficult to produce due to damage by flea beetles. Flea beetles are problematic for growers as they chew many small holes through leaves rendering produce unmarketable. We tested the efficacy of several essential oils, the woven-mesh row cover ProtekNet, and the spunbonded row cover Agribon, compared to organic and conventional insecticides and no spray controls in the spring and fall of 2019. We found that the two row cover treatments (Agribon and ProtekNet) provided the best control of flea beetles and associated damage. Thyme oil was highly phytotoxic and killed the crop entirely and rosemary and neem essential oils caused mild phytotoxic burns. Organic insecticides rarely performed better than the no spray control. While conventional insecticides controlled most flea beetles, the crop was often still too highly damaged to sell. The results of our study suggest row covers offer producers an effective method of flea beetle control that reduces their dependence on insecticides for conventional and organic production.


2019 ◽  
Vol 11 (2) ◽  
pp. 25
Author(s):  
Ruixiu Sui

The objective of this study was to test the performance of a Field-IQ sprayer control system which was interfaced with a John Deere liquid fertilizer applicator. The sprayer control system includes Case IH FM-1000 display integrated with DGPS, Field-IQ spray control with full harness, flowmeter and auto-range valve, and the pump. Tap water was used to simulate the UAN 32% nitrogen fertilizer solution in the test. A total of 120 samples from 8 rows of the applicator in 5 application rates (34, 67, 101, 135, and 168 kg/ha) were collected, and the data were analyzed for application uniformity and application rate accuracy of the system. Results showed the greatest variation from the application rate baseline among the rows was 10.1% and occurred at a swath-end row with the lowest application rate of 34 kg/ha. The rows in the middle section of the swath had the lower variation than the rows at the two swath-ends. The application uniformity increased as the application rate increased. The absolute error of application rate ranged from 1.3% to 6.5% with an average of 3.76%. There was no significant difference between the selected application rate and actual application rate (p &gt; 0.8686).


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