Spraying Machine Research Articles

Deep learning improved YOLOv8 algorithm: Real-time precise instance segmentation of crown region orchard canopies in natural environment

Autonomous detection and segmentation of tree canopies, trunks, and nontarget areas is crucial for optimizing pesticide use and minimizing off-target spray deposition in orchards for precision spraying. To improve the precision of pesticide application in orchards, a real-time orchard tree segmentation method using an improved YOLOv8 deep learning algorithm was proposed. First, to enhance precision, a dilated convolution approach was introduced into the backbone of the YOLO algorithm, and then, to better converge and regularize the model GELU activation function was added into the dilated convolution network. Finally, a total of 600 images of manually labeled orchard canopies were used, and the adaptive gradient algorithm (AdaGrad) was employed to adjust the weights and minimize the loss function. Additionally, the ReduceLROnPlateau scheduler was utilized to fine-tune the model during training. The performance of the proposed method was assessed through a comparative analysis. The results of the improved algorithm showed a mean average precision (mAP) of 93.3 % with an improvement of 1.3 %, precision (P) of 93.6 % with an improvement of 3.8 %, and inference time of 28 ms. To verify the effectiveness of the proposed method, the results were compared with those of YOLO family algorithms and Mask RCNN. An outdoor experiment was conducted to assess the algorithm’s performance to evaluate the deposition outcomes of the spray for variable-rate spraying, which proved to be reduced by 40 % compared to uncontrolled spraying. The deposit coverage was more than 20 % on trees of different sizes, which were positioned 1.7 m away from each side of the spraying robot. The obtained results confirm the satisfactory performance of the improved YOLOv8 algorithm and aim to offer valuable technical assistance for improving the efficiency and precision of an orchard spraying machine.

Investigation of the Effect of a Natural Extract From Oak Bark on the Properties of the Leather

Abstract Researchers are constantly looking for the use of new and effective types of natural dyes to reduce the impact of harmful factors from the use of synthetic dyes. In this study, the effects of a natural plant extract based on oak bark, used as a dye during the finishing process, on the physico-mechanical and hygroscopic properties of the leather were studied. Extraction was carried out by the traditional method without chemical additives using only distilled water and oak bark. The application of finishing solutions based on a standard chemical pigment and oak bark extract was carried out using an automatic rotary spray machine in combination with a drying tunnel. The physico-mechanical properties of colored leathers based on oak bark extract were determined in comparison with a standard chemical pigment and with a sample without finishing. The hygroscopicity of the leather samples were also evaluated, such as: water absorption, water penetration and color fastness to water spotting. The results of the conducted studies have shown that the samples stained with a natural dye have good physico-mechanical and water resistance properties.

Design of an Automatic Navigation and Operation System for a Crawler-Based Orchard Sprayer Using GNSS Positioning

In order to enhance the efficiency of agricultural machinery in orchard rows and minimize harm to personnel caused by pesticide spraying, this study developed a GNSS-based (Global Navigation Satellite System) automatic navigation driving system for tracked orchard sprayers. The tracked sprayer was used as a platform for this research. We constructed both a crawler hydraulic platform and spraying working parts based on orchard operation requirements. Additionally, we designed the hydraulic and electrical sub-control process of the crawler platform. By utilizing the motion model of the tracked mobile platform, we designed a linear path tracking control method using position deviation and heading deviation as state quantities. This allows the research platform to automatically initiate and terminate, travel in a straight line between rows, and complete spraying operations. Experimental verification confirmed that the tracked sprayer designed in this study successfully achieves automatic driving. The best automatic driving performance is achieved at a speed of 1.0 m/s. When the sprayer’s speed is 1.2 m/s, the maximum value of the straight-line path tracking accuracy of the platform’s automatic driving is better than 5.6 cm, with a standard deviation of 2.8 cm. This system effectively meets the requirements of automatic operation for an automatic spraying machine, thereby establishing a foundation for the implementation of automatic spraying operations in orchards.

A Rivew paper of the Solar Based Remote Control Seed Sowing and Spray Machine

A Rivew paper of the Solar Based Remote Control Seed Sowing and Spray Machine

Design and Test of a Tree-Whitening Machine Based on a Multi-Nozzle Holder

In this study, a tree-whitening machine was designed based on the collaborative operation of multiple spray nozzles. This research utilized infrared ranging, ultrasonic detection, and spraying devices in order to realize the accurate spraying of trees and improve the efficiency and quality of spraying. The test results show that the working efficiency of the machine is 300 trees/h, the spraying coverage is up to 96.5%, and the applicable trunk circumference range is 500–1250 mm, which is more advantageous than the American UltraMaxII695 high-pressure electric spraying machine, the domestic HT20 machine, etc. Furthermore, it improves the working efficiency by 7.1%, the spraying coverage by 6.7%, and the expansion of the adaptable trunk circumference range by 20%, as well as having further advantages.

Efficiency of Various Poultry Vaccination Methods in Industrial Poultry Farming

Introduction. Due to the growth of poultry stocking density in the allotted area in conditions of the industrial poultry farming, the issue of ensuring the epizootic welfare through vaccine-prophylaxis proves to be relevant. Another important aspect of poultry farming is reducing production costs, which could be achieved, among other things, through implementation of the cost-efficient methods of vaccination. A manual mode of spray vaccination method, which is currently used at the poultry farms, has a disadvantage because the dose of vaccine received by different birds may be unequal. However, under modern conditions, in order to increase the labour productivity and efficiency, the efforts are made to get the poultry vaccination process automated. The vaccination frame spray machines used in the industrial poultry farming have not been studied or evaluated before in a comparative aspect. Thus, the purpose of this research is to compare two methods of spray vaccination in chickens at the operating poultry farm with regard to the biological efficiency and economic profitability.Materials and Methods. The objects of the study were the young Brown Nick crossbreed chickens (n=46 heads). Vaccination was carried out in the young poultry at the age of 42-days. During the research, the dried live Newcastle disease and avian infectious bronchitis vaccines were used. To control the quality of vaccination, the amount of antibodies was estimated in the blood serum of poultry aged 56, 70 and 95 days old by ELISA method with TICAN equipment. Two groups of poultry were studied. In group 1 the “DESVAK” hand sprayer was used (“DESVAK” KIT– 2 model, produced by Ceva Santé Animale), in group 2 the automated frame spray machine was used (“SIMBIO ITERIS” model, produced by SIMBIO).Results. As a result of studies, in group 2 the higher intensity of immunity was obtained, showing on average the following figures: 56 days – antibody titre was 29 % higher (p≤0.05); 70 days – antibody titre was 18 % higher (p≤0.005); 95 days – antibody titre was 15 % higher (p≤0.05) compared to group 1. Economic efficiency was calculated based on the indicators of labour costs and labour intensity of the vaccination process: when using a frame spray machine, the costs turned out to be 2.3 times lower (1,131.4 person-rubbles) than with the DESVAK sprayer (2,590.4 person-rubbles). Additionally, the labour intensity of the vaccination process per head decreased by 5 times. In group 1 it was 0.0015 person-hour/head, in group 2 – 0.0003 person-hour/head.Discussion and Conclusion. Based on the results of the study, it was found that the spray vaccination method by means of the frame spray machine (the automated mode) is more efficient according to both biological and economic indicators compared to the manual mode. Taking into account all of the above, the frame spray machines could be recommended to the veterinary specialists for carrying out vaccine prophylaxis at the poultry farms by the spray method.

Development and evaluation of 4WSS electric-driven chassis for high-clearance sprayer.

The high clearance sprayer with conventional steering mechanisms, as an intelligent spraying machine, is frequently stuck or broken in muddy fields due to the excessive torque load. A Four-Wheel Self-Steering (4WSS) electric-driven chassis with a smaller turning radius and better passability is developed to handle complex agricultural terrains. The 4WSS chassis is mainly composed of two custom-designed steering bridges and four in-wheel drive motors. It can achieve steering and driving forward simultaneously through coordinate differential speed control of drive motors, saving a set of dedicated servo steering systems and requiring less torque during steering compared to conventional structures. A kinematic model depicting the speed relationships between four wheels is established via geometric analysis, and a Speed Distribution Controller (SDC) is designed to accomplish locomotion objectives. Experimental results demonstrate the effectiveness of the new prototype 4WSS chassis system in tracking speed and steering angle. Compared to conventional agricultural chassis, the 4WSS chassis has a smaller turning radius of 2,877 mm. The 4WSS chassis exhibits superior performance in typical field conditions, including muddy terrain, deep gullies, and ridges.

Structural parameters of venturi injector for periodic air recovery based on response surface methodology

This work is devoted to the study of the structural parameters of a venturi injector for periodic air recovery. Using a push chain concrete spraying machine as a case, a numerical simulation study was conducted on the venturi injector under different structural parameter combinations. The venturi injector structure parameters diameter ratio of the throat to pipe a, convergent angle α, throat length to diameter ratio b, and diffusional angle β are designed and combined by the response surface method. The numerical simulation results and the prediction model obtained by the response surface method were verified by experiments, and the simulation results and prediction model were in good agreement with the experimental results. The results show that the residual air recovery of the push chain concrete spraying machine is best when a, α, b, and β are 0.8, 25°, 2.5, and 10°, respectively. In addition, the quadratic polynomial response surface model of the venturi injector pressure variation coefficient Cv and pressure drop Pd concerning the structural parameters was established, and the influence rules of each structural parameter on the Cv and Pd were obtained. The variation patterns of turbulent kinetic energy in the venturi at different times and stable sections at the back end are revealed. This paper can provide help for the design of venturi structures used for periodic air recovery in other chemical fields.

Дослідження впливу температури газу процесу холодного газодинамічного напилювання на адгезійну міцність нікелевмісних покриттів

The subject of the research is the influence of low-pressure cold spraying process parameters on the adhesive strength of the coatings. The goal is to ensure the maximum values of the adhesive strength of nickel-based coatings deposited by cold spraying by controlling the gas temperature at the nozzle inlet. The task is to investigate the effect of the temperature mode of the DYMET-405 machine on the adhesive strength of the coatings obtained from the Ni+Zn+Al2O3 powder mixture at constant other spraying parameters. Research methods. The experimental study of the adhesive strength was conducted on the tear using adhesive method in accordance with DSTU 2639-94. The metal-matrix composite powder mixture Ni+Zn+Al2O3 was used as powder material. VT3-1 titanium alloy was chosen as substrate material. Coatings were deposited using DYMET-405 low-pressure cold spraying machine. Temperature regulation at the nozzle inlet was performed by turning on the required temperature mode on the equipment control panel. Other spraying parameters remained constant during coating deposition process. The results. It was established that with an increase in the temperature of the gas in the nozzle, an increase in the adhesive strength of coatings is observed, on average from 9.5 MPa to 28.7 MPa. This can be explained by the fact that an increase in gas temperature leads to an increase in the velocity of the gas flow and, accordingly, of the powder particles in this flow. Higher particle impact velocity has a positive effect on the process of their deforming, filling of pores, densifying of coating layers, and finally increasing the adhesive and cohesive strength. The scientific novelty of the obtained results is that the dependence of the gas temperature at the nozzle inlet during low-pressure cold spraying on the adhesive strength of Ni+Zn+Al2O3 powder mixture coatings deposited on VT3-1 titanium alloy substrates was obtained. Conclusions. The practical value of the obtained results is that the obtained dependences of adhesive strength on gas temperature can be used for the development of cold spraying recommendations for the deposition of restorative coatings on parts made of titanium alloys, in particular in aircraft engines to eliminate operational defects.

Rheological behavior of basalt fiber sprayed cementitious composites (BFSCC)

In the application of modern sprayed cementitious composites, more specific requirements have been proposed for crack resistance, toughness, and durability. By adding fibers with high strength and toughness to the cementitious matrix, the resulting composite material can exhibit excellent mechanical properties. Currently, the commonly used fiber materials of sprayed cementitious composites include steel fiber, polypropylene fiber, basalt fiber. As a type of green and sustainable building material, basalt fiber has been widely used in various engineering projects. In the field of sprayed cementitious composites (SCC), the addition of chopped basalt fibers can enhance its toughness and cracking resistance. However, fiber inclusion may also lead to reduced workability and equipment clogging. Therefore, the rheological behavior of basalt fiber sprayed cementitious composites (BFSCC) under mixing and spraying stages of construction become critical and essential to be fully investigated. In order to simulate the actual engineering application environment of BFSCC, a mortar spraying machine and ICAR rheometer were used to evaluate the variation of key rheological parameters under mixing and spraying stages of construction. The yield stress, plastic viscosity, and thixotropic indices of BFSCC under the influences of basalt fiber characteristics, i.e., type, content and hybrid length, were investigated. The time-dependent rheological behavior of BFSCC was also evaluated. The results indicated that there were significant differences on rheological behaviors under mixing and spraying stages of construction when the basalt fiber was introduced. The spraying process yielded a much higher static and dynamic yield stresses of BFSCC compared with those of mixing stage. Under the same fiber volume content, the plastic viscosity of BFSCC increased first and then decreased with an increase in fiber length in both stages, reaching a maximum at 12 mm. The time-dependent changes in the thixotropic index decreased first and then increased with an increase in time in both the mixing and spraying stages. A prediction model on rheological parameters for BFSCC under mixing and spraying stages was established in accordance with fiber characteristics.

MONITORING OF THE MAIN PATHOGENS FOUND IN APPLE PLANTATIONS AT SCDP IASI

The observations took place at RSFG Iasi, Development Center Falticeni in 2022, in apple plantations where a number of 9 phytosanitary treatments were applied to the warning, with the spray machine of the type Agroma. A total of 3 varieties (Jonathan, Golden delicious, Stakrimson) were studied compared to the untreated variant. The phytosanitary treatment program covered a wide range of phytopharmaceuticals, using 8 contact and systemic fungicides to prevent and combat pathogens that produce Venturia inaequalis, Erwinia amylovora,, Podosphaera leucotricha (Ell. et Ev) Salm and Monilinia laxa. Thus, in the untreated variant, the degree of attack for rapeseed on the fruit was 82.8%, and for Podosphaera leucotricha on the shoots the attack was 35% in the Jonathan variety. In the treated plot, the degree of Venturia inaequalis attack on fruit was reduced to 11.3% and 3.0% in the Starkrimson and Golden delicious varieties, and in the Jonathan variety up to 0.5%.

Design and Fabrication of an Agricultural Spraying Machine Using a Knapsack Sprayer

Plant protection equipment is essential in the agricultural field for increasing crop productivity and minimizing the losses caused. Specialized machinery for mechanically applying chemicals is crucial for maximizing crop yields in farming. Farmers use a wide range of pesticides to counteract the effects of insects, diseases, and fungi on their crops. The backpack sprayers do the spraying with staffing, which requires more human effort, covers a small area, is time-consuming, and has a low storage capacity. The market introduced many products to address these limitations, but they cannot work simultaneously. Solar, electrical, and chemical energy is now being used to spray pesticides, but these methods are expensive and require a trained operator. To address the issues above, a product designed with adaptable spraying equipment is proposed to benefit medium-and small-scale farmers. This study aims to look at the problem of manual backpack sprayers and reduce backpack and foot spraying, eliminate human efforts, and decrease labor costs by advancing the spraying method and a constant flow of droplets. Finally, we have investigated the effects of urging gardeners and farmers to spray their plants with liquids such as pesticides, herbicides, and water. The proposed design can help gardeners in terms of comfort during spraying, reducing energy used to pump tanks, and effectively utilizing spraying time. IUBAT Review—A Multidisciplinary Academic Journal, 6 (1): 88-99

牧草种子喷播机喷筒内流场及其对喷播质量影响研究

The objective of ecological restoration and rehabilitation of grasslands is to recreate the original appearance of damaged or degraded vegetation. From previous research, the pneumatic spraying technology is now more commonly used in the world for vegetation restoration. Pneumatic spraying is relatively inexpensive and causes little damage to the original vegetation, making it one of the most effective techniques for restoring natural grassland vegetation under natural climatic conditions. In this paper, the effect of the spraying machine pipe working airflow on the quality of spraying was studied through simulation analysis and experimental tests. The seeding area of the spraying machine corresponding to different values of the pipe inlet airflow speed was determined. The conclusions show that: 1) the spray pipe inlet airflow velocity has a great influence on the uniformity of spraying. When the airflow velocity is higher than 55 m/s, the spraying is not uniform, while the airflow velocity is lower than 45 m/s, the spraying amplitude is smaller, the operational efficiency is low, which is not conducive to the restoration of degraded grasslands; 2) considering the uniformity of spraying and operational efficiency, the airflow velocity at the inlet of the spray pipe should be between 45 and 55 m/s when the spraying machine is in operation. The seed drop area is changed, by adjusting the airflow velocity of the spray pipe inlet, and the reseeding and leakage area of the seed drop area is reduced, so that the spraying performance of the spraying machine is optimized.

Influence of Reactive Amine-Based Catalysts on Cryogenic Properties of Rigid Polyurethane Foams for Space and On-Ground Applications.

Rigid polyurethane (PUR) foams have outstanding properties, and some of them are successfully used even today as cryogenic insulation. The fourth-generation blowing agent Solstice® LBA and commercial polyols were used for the production of a low-density cryogenic PUR foam composition. A lab-scale pouring method for PUR foam preparation and up-scaling of the processes using an industrial spraying machine are described in this article. For the determination of the foam properties at cryogenic temperature, original methods, devices, and appliances were used. The properties at room and cryogenic temperatures of the developed PUR foams using a low-toxicity, bismuth-based, and low-emission amine catalyst were compared with a reference foam with a conventional tin-based additive amine catalyst. It was found that the values of important cryogenic characteristics such as adhesion strength after cryoshock and the safety coefficient of the PUR foams formed with new reactive-type amine-based catalysts and with the blowing agent Solstice® LBA were higher than those of the foam with conventional catalysts.

DEVELOPMENT AND FABRICATION OF AGRICULTURAL PEST CONTROL SYSTEM

Research is “creative and systematic work undertaken to increase the stock of knowledge”. It involves the collection, organization and analysis of information to increase understanding of a topic or issue. Efficient use of pesticides can helpful to control plant pests and diseases to increasethe crop yields. The use of agrochemicals can effectively enhance the quantity and quality of crop;however, it increases the environmental risks in recent years. Pesticide application utilizes the to a significant percentage of the production cost. During chemical plant protectionpractices, over application of pesticide or inefficient spraying equipment may cause serious issueson human healthand the environment. Effective pesticide application is a critical activity during crop production season that requires efficient spraying machinery with proper calibration as well as relevant regulations to reduce off-target spray deposition. Thus, the significant among all the factors which are influencing the degree of off-target spray deposition is the design and application spraying technology Conventional agricultural pesticide application practices havedeveloped a contradiction among the yield enhancement, cost effectiveness and environmental protection. Therefore, pesticides have to be applied using suitable spraying systems to avoid adverse effects on environment as well as human health. Thus, in recent decades, spraying methods and technologieshave been undergoing continuous evolution. Conventional sprayerswere very laborious and International Journal of Scientific Research in Engineering and Management (IJSREM) Volume: 07 Issue: 01 | January - 2023 Impact Factor: 7.185 ISSN: 2582-3930 © 2023, IJSREM | www.ijsrem.com DOI: 10.55041/IJSREM17568 | Page 2 requirevery heavy machinery to operating them in the field. They increasethe application amount because of no proper application method for spraying nozzles, crop foliage detection, and weather parameters. advancement in spray application technologies increase crop production and increase pesticide efficiency on weed and insects in the field. Spray loss in the form ofspray drift, weather effects, target detection, and control flow nozzles problem solved by advancedpesticide applicationtechnologies. The time-consuming problem for tank refilling is reduced withultra-low volume sprayers and fine droplet spray nozzles. With time the crop maintaining technology-advance fromweeds and pest, detection to spray application nozzles. The objective of this chapter is to highlight the attachments conceived by both electronics and mechanical components which implies for the working of agricultural spraying machine.

DESIGN AND FABRICATION OF IOT BASED SOLAR POWERED BATTERY OPERATED SPRAY ROVER

A farm's spraying operation is crucial. Pesticides are sprayed on plants to protect them from insect assault. Farmers still use the old-fashioned hand pump method to spray insecticides on their crops. Although it's crucial to produce high-quality plants that yield more and to turn a healthy profit, we also care about farmer safety. Health problems are caused by these insecticides. In comparison to drones, it is less effective for longer distances and costs more, making it unaffordable for small-scale farmers. They participated manually and carried their sprayer for fertiliser on their shoulders. Farmers get health problems as a result of fertiliser inhalation while they are spraying. Farmers typically utilise a hand-operated spray pump or fuel for spraying. Due to the construction's excessive weight and practical impracticality in hell, the usual spraying results in injuries or weariness for the user. This inspires scientists to create and simulate a solar-powered spray machine. We provide our projects as a remedy for the aforementioned agricultural issues. Another goal of this design is to eliminate vibration while still employing a gasoline-operated spray pump, overcome handling-related casualties when performing spraying, and create an environmentally friendly spray machine by removing fuel. Farmers can spray pesticides at a fixed or adjustable height with the aid of an agricultural spray rover.

TESTAREA UNEI REȚELE NEURONALE PENTRU APLICAREA ȚINTITĂ A SUBSTANȚELOR FITOSANITARE ÎN CULTURILE DE LEGUME FOLOSIND O MAȘINĂ DE STROPIT AUTOPROPULSATĂ ELECTRIC

For negative effects minimization generated by agriculture on the environment, there were established a series of measures regarding the reduction of the amount of fertilizers and phytosanitary substances used. Thus, one of the innovative technologies appeared on the market is represented by the usage of some automated equipment for selective spraying of targeted plants, this way significantly reducing the amount of active substances used. The paper presents the usage of a technique specific to artificial intelligence for identification of target crops and their proper treatment. Thus, was developed a convolutional neural network formed of six neuron layers, which was used for analysis of crop field images recorded with a LOGITECH HD Pro C92.0 video camera. The network was developed in C++ programming language, using function libraries from OpenCV, and has run on a Dell laptop, with Intel i8 processor. Following images analysis and targeted plants identification, from laptop there are sent ON/OFF commands through an Arduino microcontroller toward the electrical microvalves mounted on the nozzles of a self-propelled electric spraying machine having a working width of 8 m, with the purpose of spot-spraying the crop plants and reducing the amount of used substances. In this paper are presented the experiments done for testing the neural network efficiency.

INNOVATIVE TECHNOLOGIES FOR THE APPLICATION IN VINEYARDS AND ORCHARDS OF SPRAYING TREATMENTS WITH REDUCED IMPACT ON THE ENVIRONMENT. PRESENT AND PERSPECTIVES

The paper presents an analysis of the innovative technologies that are currently implementing spraying treatments with the reduction of specific consumption of pesticides, fuel, labour and especially the reduction of environmental pollution. They are presented for the administration of insecticides-fungicides and liquid fertilizers with machines for spraying vines and orchards of the carried type with a tank of 300-600 litres and of the trailed type with a tank of 600-2000 litres, which have standard fans or a tower with controlled spraying, 600-800 mm propellers with adjustable pitch, hot-dip galvanized metal parts, bronze nozzle holder, cardan shaft, etc. The work concludes with the recommendation of using an innovative spraying machine that allows significant savings of active substance, depending on the vegetative phase of the plantation at the time of spraying compared to conventional treatment.

Screening and diagnosis of triple negative breast cancer based on rapid metabolic fingerprinting by conductive polymer spray ionization mass spectrometry and machine learning.

We present the use of conductive spray polymer ionization mass spectrometry (CPSI-MS) combined with machine learning (ML) to rapidly gain the metabolic fingerprint from 1μl liquid extraction from the biopsied tissue of triple-negative breast cancer (TNBC) in China. The 76 discriminative metabolite markers are verified at the primary carcinoma site and can also be successfully tracked in the serum. The Lasso classifier featured with 15- and 22-metabolites detected by CPSI-MS achieve a sensitivity of 88.8% for rapid serum screening and a specificity of 91.1% for tissue diagnosis, respectively. Finally, the expression levels of their corresponding upstream enzymes and transporters have been initially confirmed. In general, CPSI-MS/ML serves as a cost-effective tool for the rapid screening, diagnosis, and precise characterization for the TNBC metabolism reprogramming in the clinical practice.

Erratum to “Performance improvement prediction of push chain moist-mix concrete spraying machine employing orifice plate”

Erratum to “Performance improvement prediction of push chain moist-mix concrete spraying machine employing orifice plate”