Row Spacing Research Articles

Design of Stone Column to Mitigate Soil Liquefaction: Cases Study of Yogyakarta International Airport

A low-to-medium cohesionless soil with low fines content was predominantly observed at the surfaces of Yogyakarta International Airport (YIA). The condition exposed subsoil of YIA to Liquefaction in addition to its location on a high seismic zone which has increased the likelihood of massive ground shaking. This means it is necessary to improve soil condition and vibro-replacement using stone column was selected as the appropriate method due to its recent popularity for the enhancement of sandy ground. Stone column has the ability to reduce the Cyclic Stress Ratio (CSR) of liquefiable soil and can be reliably evaluated. Therefore, this study was conducted to evaluate the risk of Liquefaction at YIA by adopting the SPT-based Liquefaction triggering procedure and presuming its manifestation using Liquefaction Severity Index (LSI). It is pertinent to state that the theoretical approach introduced by Priebe was used to design the geometry and center-to-center distance of stone column. The results were presented in the form of maps with a 50 m × 50 m grid size which include the cut and fill, LSI before and after improvement, stone column spacing, as well as stone column depth. It was discovered that the triangular spacing required for stone column ranged from 1.25 m to 2.5 m while the maximum depth was found to be 6 m. Moreover, stone column inclusion efficiently reduced the severity of Liquefaction from medium to very low for the areas studied. However, stone column has several limitations and this means a combination of soil improvement methods needs to be applied to areas with moderate LSI.

The null space property of the weighted ℓr − ℓ1 minimization

The null space property (NSP), which relies merely on the null space of the sensing matrix column space, has drawn numerous interests in sparse signal recovery. This paper studies NSP of the weighted [Formula: see text] ([Formula: see text]) minimization. Several versions of NSP of the weighted [Formula: see text] minimization including the weighted [Formula: see text] NSP, the weighted [Formula: see text] stable NSP, the weighted [Formula: see text] robust NSP and the [Formula: see text] weighted [Formula: see text] robust NSP for [Formula: see text], are proposed, as well as the associating considerable results are derived. Under these NSPs, sufficient conditions for the recovery of (sparse) signals with the weighted [Formula: see text] minimization are established. Furthermore, we show that to some extent, the weighted [Formula: see text] stable NSP is weaker than the restricted isometric property (RIP). And the RIP condition we obtained is better than that of Zhou (2022).

Row spacing and phosphorus use efficiency in no-tillage maize

Reduced row spacing has shown to increase maize (Zea mays L.) nitrogen (N) use efficiency, but little is known about it effects on phosphorous (P) use efficiency (PUE). The objective of this study was to evaluate the PUE of maize under reduced row spacing and varying N regimes. No till maize was grown in Balcarce, Argentina, during two growing seasons using three rows spacing (35, 52, and 70 cm) and three N rates (0, 90, and 180 kg N ha−1). Shoot dry matter (DM), grain yield, and accumulated P content were determined. At V6 and R6 growth stages, the P use efficiency (PUE = g aboveground DM or grain yield per g P available) and it components P utilization efficiency (PUTE = g aboveground DM or grain yield per g P uptake), and P uptake efficiency (PUPE = g P uptake/g P available) were determined. N rate and narrower rows increased total DM, grain yield, and accumulated P content. Phosphorous concentration, PUTE, PUPE and PUE were not affected by row spacing or N rate. The present study showed that row spacing did not affect P use efficiency in no till maize when the soil P availability was adequate.

Persistent Homology-Based Machine Learning Method for Filtering and Classifying Mammographic Microcalcification Images in Early Cancer Detection.

Microcalcifications in mammogram images are primary indicators for detecting the early stages of breast cancer. However, dense tissues and noise in the images make it challenging to classify the microcalcifications. Currently, preprocessing procedures such as noise removal techniques are applied directly on the images, which may produce a blurry effect and loss of image details. Further, most of the features used in classification models focus on local information of the images and are often burdened with details, resulting in data complexity. This research proposed a filtering and feature extraction technique using persistent homology (PH), a powerful mathematical tool used to study the structure of complex datasets and patterns. The filtering process is not performed directly on the image matrix but through the diagrams arising from PH. These diagrams will enable us to distinguish prominent characteristics of the image from noise. The filtered diagrams are then vectorised using PH features. Supervised machine learning models are trained on the MIAS and DDSM datasets to evaluate the extracted features' efficacy in discriminating between benign and malignant classes and to obtain the optimal filtering level. This study reveals that appropriate PH filtering levels and features can improve classification accuracy in early cancer detection.

The Effect of Rivet Arrangement on the Strengths of Lap Joints and Lap Joint Design Methods

To address the impact of rivet arrangement on the strengths of riveted lap joints, the failure modes and failure mechanisms of riveted lap joints were first studied using finite element analysis software. Next, the effects of the number of rivets, rivet rows, rivet arrangement, and row spacing on the lap joint strength were studied using the peak load as the evaluation index. Then, we proposed the concept of line load density to solve the problem that a varying rivet spacing and rivet edge distance will change the width of the sheet and thus the maximum load capacity, which is used as an index to study the effect of rivet spacing and rivet edge distance on the lap strength. Finally, a spring–mass model was developed to study the forces present in multi-row riveting. The model could accurately calculate the force–displacement curves during tensioning. The results show that when multiple rivet rows are used, higher stress concentrations cause the plate to first fracture at an outer rivet row with more rivets; therefore, the rivets should be arranged such that there are more rivets in the middle and fewer rivets on both sides. When the total rivet strength is greater than the remaining strength of the plate, the numbers of rivets and rivet rows have limited effects on the lap joint strength; however, this primarily affects the damaged form of the lap joint member. When the rivet spacing is less than 5d, the lap strength increases with increases in the rivet spacing, and when the rivet spacing is greater than 5d, the lap strength does not change significantly with increases in the rivet spacing. When the rivet edge distance is less than 3d, the lap joint strength increases with increases in the rivet edge distance, and when the rivet edge distance is greater than 3d, it has a limited effect on the lap joint strength. The rivet row spacing has no significant effect on the lap joint strength. The results of this study are valuable for improving the strengths of riveted structures in aircraft.

Influence of seed rate and row spacing on seed multiplication factor and yield of durum wheat in Ethiopia

AbstractOptimum seeding rate and row spacing are important for uniform crop establishment and harvest of quality seed. Field experiment was conducted at three locations in 2014 and 2015 to study the influence of seed rate and row spacing on seed multiplication factor and yield of durum wheat. Triplicate split plot design was used. The highest seed yield was found at a seed rate of 125 kg ha−1 with a row spacing of 10 cm in 2014 but not significant with the seed rates of 100 kg ha−1 at 10 cm spacing, 75 kg ha−1 at 20 cm row spacing in 2014, and 150 kg ha−1 at 10 cm row spacing in 2015 at Debre Zeit. At Chefe Donsa, the highest seed yield (4.75 ton) was harvested at a seed rate of 100 kg ha−1. At Minjar, seed yield was not affected by seeding rate. Seed multiplication factor was higher at a seed rate of 50 kg ha−1 and spacing of 20 cm at Debre Zeit. At Chefe Donsa, the highest seed multiplication ratio (97.3) was observed in 2015 at a seed rate of 50 kg ha−1 with row spacing of 30 cm. Seed multiplication factor decreased with increasing seed rate at all testing locations. Sowing of 100 kg seeds per hectare with 20 cm spacing gave optimum seed yield over the testing locations. With limited seed availability of nucleus seed, 50 and 75 kg ha−1 with a spacing of 20 cm is appropriate to upsurge seed multiplication ratio.

Response of Faba Bean (<em>Vicia faba</em> L.) Grain Yield to Biofertilizer Rates and Inter Row Spacings at Kaffa Zone, South Western Ethiopia

Purpose: Soil nutrient depletion and crop management practices are the significant factors affecting faba beans production over the world. Biofertilizers can improve soil fertility and health. Moreover, it adds essential nutrients and improves water retention in the soil. Thus, its use is unquestionable to maintain soil fertility and enhance crop production. Hence, biofertilizer rates and inter-spacings were used to enhance faba bean production. Research Method: The Field trials were performed to determine the response of faba bean (Vicia faba L.) grain yield to bio-fertilizer rates and row spacings in the main growing season in 2019 at Kaffa zone, Southwestern Ethiopia. Factorial combinations of four rates of bio-fertilizer (0, 0.25, 0.5, and 0.75kg/ha) and three inter-row spacings (30, 40, and 50cm) were carried out in RCBD with three replications. The LSD test was done at α = 0.05 level of probability. Findings: The results of ANOVA presented that the main effect, as well as the interaction effects of biofertilizers and row spacing, have a significant effect on the yield of faba bean. The pods/plants number, hundred seed weight, and HI are mainly affected by biofertilizer rates and row spacings. The combination of 0.75kg/ha of biofertilizer rates and 50cm of space between rows recorded the maximum pods per plant in number, the weight of hundred seeds, grain yield, and harvest index. The highest grain yield (2540±276kg/ ha) was attained with the application of 0.75kg/ha of bio-fertilizer and 50cm of distance between rows, whereas, the lowest (1083.3±117.7kg/ha) was observed from the null treatments and the smaller spacing between rows (30cm). Generally, the significantly maximum yield was obtained because of the maximum rate of bio-fertilizer with the widest inter-row spacing in this experiment. Therefore, inoculation of bio-fertilizer at a dosage of 0.75kg/ha with a row distance of 50cm was found to be optimum for the maximum yield of faba bean in Southwestern Ethiopia and other similar agroecologies. It is further recommended that this result is from only one season at one site and hence this study may be repeated in space and time to reach a concrete recommendation. Research Limitation: Additional authentication and trials across similar agroecology would be essential to make conclusive recommendations since the field trials were directed for sole cropping season and a site. Originality/ Value: This is an organic fertilizer that could be used by farmers and investors in the future, to increase the production of faba bean.

Optimal design and cost analysis of single-axis tracking photovoltaic power plants

The increasing penetration of photovoltaic technology in the electricity market requires the development of a methodology that facilitates the optimisation of photovoltaic plants with single-axis trackers. This paper presents an optimisation methodology that takes into account the most important design variables of single-axis photovoltaic plants, including irregular land shape, size and configuration of the mounting system, row spacing, and operating periods (for backtracking mode, limited range of motion, and normal tracking mode). Equations for the determination of the optimal row spacing and operating periods have been developed and is presented in detail. A packing algorithm that takes into account the irregular land shape and the possible configurations of the mounting systems is also presented. The objective function is the total area of the photovoltaic field and the optimisation is performed by a packing algorithm. As the economic aspect of energy generation also plays a key role in decision-making, the levelised cost of energy has been used to assess the economic viability of the optimal layout of the mounting systems. The results show that the proposed methodology and packing algorithm are able to optimise the photovoltaic plant with single-axis solar tracking and provide reliable results after a reasonable computation time. The methodology was demonstrated in detail for a Spanish photovoltaic plant (Granjera photovoltaic power plant), including the optimal layout of the mounting systems and the cost analysis for this layout. The optimal layout of the mounting systems could increase the amount of energy captured by 91.18% in relation to the current of Granjera photovoltaic power plant. The mounting system configuration used in the optimal layout is the one with the best levelised cost of energy efficiency, 1.09. The presented optimisation methodology can be utilised to facilitate the optimal design of commercial photovoltaic plants with single-axis trackers. Therefore, questions such as: what is the optimal distribution of mounting systems?, how much energy will this distribution produce?, and at what cost will it produce it?, can be answered by using the proposed methodology.

Design Considerations for Vertical Bifacial Agrivoltaic Installations

Abstract The expected annual energy output of vertical bifacial solar panel arrays was modeled with an eye on how array design attributes affect the output. We considered module height, cell density (single- or double-high racking), inter-row spacing, and inverter connection (rows of modules wired together or separately), and the inclusion of bypass diodes. We observed that these design choices have a substantial impact on the annual energy yield on a per-module basis and per-acre basis. We modeled the instantaneous brightness and shading based on the position of the sun and adjacent rows of modules, which caused nonuniform irradiance due to inter-row shading effects. Based on the irradiance, we calculated current, voltage, and power values throughout a year for different design strategies. Double-high racking, which uses two landscape-oriented modules stacked vertically, offers noteworthy power gains per acre with only a modest increase of inter-row shading. When bypass diodes are included in the module design and improved inverter wiring is used, much of the loss due to inter-row shading is mitigated, and the total power output per acre is nearly doubled, with modules seeing an 80% power increase per acre for 20 ft row spacing, and over 90% power increase per acre for 40 ft spacing.

One-time root-zone nitrogen application increased wheat yield and nitrogen utilization under distinct planting row spacings in the Yangtze River Delta Region of China

One-time root-zone nitrogen application increased wheat yield and nitrogen utilization under distinct planting row spacings in the Yangtze River Delta Region of China

Double Encryption Algorithm for Massive Personal Biometric Authentication Images Based on Chaotic Mapping for Future Smart Cities

Abstract To address the problems of low encryption security, slow encryption speed, and small key space of personal biometric authentication image, a double encryption algorithm of image based on chaotic mapping is proposed. The global block-matching strategy of sparse clustering is used to remove the image noise, and the encrypted key information in the biometric authentication image is extracted by mathematical morphology. The logistic index is used to disrupt the image information distribution, bit scrambling is used to double scramble the image, and the Secure Hash Algorithm (SHA)-256 hash function is used to generate the initial value of the chaotic system to obtain the chaotic map and the random variable sequence of hyperchaotic Chen system, and the chaotic sequence is transformed into the ciphertext image matrix after exclusive OR (XOR) operation in order to realize the double encryption of personal biometric authentication image. The results show that the proposed method has large key space, high encryption accuracy, fast efficiency, and better security performance.

The Analysis of Underwater Imagery System for Armor Unit Monitoring Application

The placement of armor units for breakwaters in Indonesia is still done manually, which depends on divers in each placement of the armor unit. The use of divers is less effective due to limited communication between divers and excavator operators, making divers in the water take a long time. This makes the diver's job risky and expensive. This research presents a vision system to reduce the diver's role in adjusting the position of each armor unit. This vision system is built with two cameras connected to a mini-computer. This system has an image improvement process by comparing three methods. The results obtained are an average frame per second is 20.71 without applying the method, 0.45 fps for using the multi-scale retinex with color restoration method, 16.75 fps for applying the Contrast Limited Adaptive Histogram Equalization method, 16.17 fps for applying the Histogram Equalization method. The image quality evaluation uses the underwater color quality evaluation with 48 data points. The method that has experienced the most improvement in image quality is multi-scale retinex with color restoration. Forty data have improved image quality with an average of 14,131, or 83.33%. The number of images that experienced the highest image quality improvement was using the multi-scale retinex with color restoration method. Meanwhile, for image quality analysis based on Underwater Image Quality Measures, out of a total of 48 images, the method with the highest value for image quality is the contrast limited adaptive histogram equalization method. 100% of images have the highest image matrix value with an average value is 33.014.

Seismic Analysis of Tall Multi storey Structure Considering Variable Column Condition Using ETABS: A Review

One important factor that affects the project's or building's economy is the distance between columns. Because of this relationship between column spacing and panel size, the cost of raw materials can vary in reinforced concrete buildings. When column spacing is smaller, panels are smaller, and when column spacing is larger, panels are larger. In this paper presenting review of literature related to analysis of structures using analysis tools. Key Word: Aspect Ratio, Optimum Column size, E – TABS, Multi – Storey Building, Quantity Modeling

A new classification method for diagnosing COVID-19 pneumonia based on joint CNN features of chest X-ray images and parallel pyramid MLP-mixer module.

During the past three years, the coronavirus disease 2019 (COVID-19) has swept the world. The rapid and accurate recognition of covid-19 pneumonia are ,therefore, of great importance. To handle this problem, we propose a new pipeline of deep learning framework for diagnosing COVID-19 pneumonia via chest X-ray images from normal, COVID-19, and other pneumonia patients. In detail, the self-trained YOLO-v4 network was first used to locate and segment the thoracic region, and the output images were scaled to the same size. Subsequently, the pre-trained convolutional neural network was adopted to extract the features of X-ray images from 13 convolutional layers, which were fused with the original image to form a 14-dimensional image matrix. It was then put into three parallel pyramid multi-layer perceptron (MLP)-Mixer modules for comprehensive feature extraction through spatial fusion and channel fusion based on different scales so as to grasp more extensive feature correlation. Finally, by combining all image features from the 14-channel output, the classification task was achieved using two fully connected layers as well as Softmax classifier for classification. Extensive simulations based on a total of 4099 chest X-ray images were conducted to verify the effectiveness of the proposed method. Experimental results indicated that our proposed method can achieve the best performance in almost all cases, which is good for auxiliary diagnosis of COVID-19 and has great clinical application potential.

Efficient framework of solving time-gated reflection matrix for imaging through turbid medium.

Imaging through turbid medium is a long pursuit in many research fields, such as biomedicine, astronomy and automatic vehicle, in which the reflection matrix-based method is a promising solution. However, the epi-detection geometry suffers from round-trip distortion and it is challenging to isolate the input and output aberrations in non-ideal cases due to system imperfections and measurement noises. Here, we present an efficient framework based on single scattering accumulation together with phase unwrapping that can accurately separate input and output aberrations from the noise-affected reflection matrix. We propose to only correct the output aberration while suppressing the input aberration by incoherent averaging. The proposed method is faster in convergence and more robust against noise, avoiding precise and tedious system adjustments. In both simulations and experiments, we demonstrate the diffraction-limited resolution capability under optical thickness beyond 10 scattering mean free paths, showing the potential of applications in neuroscience and dermatology.

Agrivoltaic system designing for sustainability and smart farming: Agronomic aspects and design criteria with safety assessment

An agrivoltaic system (AVS) offers a potential strategy for meeting global demands for renewable energy and sustainability by integrating photovoltaics and agriculture. Many empirical studies have installed facilities and cultivated actual crops, revealing that AVSs improve land use efficiency. However, it is rare for actual end-users and farmsteads to adopt AVSs owing to a lack of standardised models and design criteria. In this study, we conducted a comprehensive AVS design considering agronomic aspects and structural safety along with an analysis of design criteria to promote the dissemination of AVSs. Based on the photovoltaic module arrangement and adjusting installation conditions, various design types were considered to reflect on-site conditions and user preferences. In addition, safety standards for disaster resistance and trade-offs among shading ratio, power generation capacity, and quantity of structural members were analysed. The safety assessment results demonstrated that the column of the AVS structure was vulnerable to wind loads, and the safety standards varied according to the adjusted column spacing. The narrower the column design, the more advantageous the safety and power generation and the more disadvantageous the crop cultivation environment and installation cost. The sequentially mounted type allowed relatively less solar radiation to reach the crop and generated more solar energy. When the modules were mounted at a distance, the structural safety was slightly reduced; however, more solar radiation and economic feasibility were secured. These results will support decision-making regarding AVS designs, help in identifying the sensitivity of crops to shading, and be utilised for the establishment of a standardised AVS model to promote dissemination.

Design and Test of an Automatic Navigation Fruit-Picking Platform

With the development in agricultural mechanization and information technology, orchard agricultural machinery is also constantly pursuing the goal of intelligence and efficiency. Fruit picking is the most labor-intensive part of the orchard harvesting process. In order to resolve the problems of high labor intensity, low picking efficiency, and labor shortage when harvesting dwarf high-density orchards, an automatic navigation fruit-picking platform with voice control was developed in the present study. First, the platform utilized a voice-controlled high-level extendable working platform and a fruit-box-lifting device to adapt to varying orchard planting row spacing and enable convenient fruit box loading and unloading. Second, an automatic navigation system, which employed China’s Beidou navigation satellite system to acquire positional data and the Stanley algorithm for path-tracking control, was implemented. Third, the fruit-picking platform with automatic navigation system was fabricated and assembled, its outer wheel steering was measured to have a maximum angle of 30.3° and an average minimum turning radius of 4.5 m, meeting the turning radius requirements under orchard conditions. Finally, automatic navigation tests of the developed platform were performed in the orchard conditions. The results indicated that the platform could maintain a straight-line path with a maximum lateral deviation of 101.5 mm and a maximum absolute average deviation of 44.1 mm at 0.4 m/s. Under the U-shaped paths, the measured maximum lateral deviation was 148.6 mm and the maximum absolute average deviation was 57.2 mm. The navigation accuracy was sufficient to meet the requirements for the harvesting platform’s routine operation in the orchards.

Effect of Row Spacing and Plant Density on Silage Maize Growth, Dry Matter Distribution and Yield

Maize growth in narrow rows provides a more uniform spatial arrangement, but it does not always lead to increasing yield. A four-year study was conducted to investigate the effect of row spacing on silage maize growth and yield during the growing season and at harvest time. A field experiment with conventional (0.70 m) and narrow rows (0.35 m) at a plant density of 92,000 plants ha−1 was evaluated in the years 2011–2014, and the interaction of row spacing × plant density (92,000 and 110,000 plants ha−1) was tested in 2013–2014. The narrow rows clearly demonstrated potential to support plant height and weight development, together with a higher stalk proportion, at around two months after seeding. However, these contrasts were lost in the later stages and at harvest time. Some potential for non-significantly higher dry matter yield (4.6–10.8%) was shown in the narrow rows in three years of the experiment, in association with lower losses in plant numbers, when compared to conventional row spacing. The potential of yield improvement in the narrow rows showed relationships with weather conditions during the second half of the growing season. In summary, under the growing conditions of the study region, narrow row spacing significantly promoted early plant development, but these effects did not persist until harvest, thus resulting in only limited success in yield improvement.

Experiment and Numerical Simulation of Strength and Stress Distribution Behaviors of Anchored Rock Mass in a Roadway

Due to the influence of the ground stress, mining disturbance, and other factors, the roadway surrounding rock in deep underground engineering such as mines, tunnels, and underground caverns is prone to looseness and deformation with the excavation of roadways. In such engineering, the bolt support is frequently employed to stabilize the surrounding rock. In this work, a part of the anchor and the surrounding rock were taken as a simplified model of the anchorage rock mass, and the laboratory compression test was performed on the similitude model. Then, the FLAC3D software was used to simulate varying numbers of bolts and different lateral pressure conditions, and the peak stress, the maximum principal stress field, and the anchor stress field distribution of the anchorage rock mass were obtained. The influence of bolt pretightening force and row spacing on the stability of surrounding rock was discussed using the combined arch theory. The results show that increasing the number of bolts and lateral pressure in the anchorage rock mass can significantly improve the stress value and distribution range of the maximum principal stress field and the anchorage stress field. The fluctuation of the anchorage stress field at different anchorage distances can be lessened by increasing the number of bolts (bolt density). When the lateral pressure exceeds 3 MPa, the anchorage mechanical characteristics of the anchorage rock mass tend to remain stable. The coverage of the effective anchorage stress field and the thickness of the surrounding rock anchorage composite arch can be increased by increasing the bolt pretightening force and decreasing row spacing, consequently improving the anchorage mechanical characteristics of the anchorage rock mass. The research results can be used as a theoretical reference for choosing appropriate bolt support parameters for the roadway surrounding rock.

The efficacy of protection by modern insecticides in the industrial cherry plantations against cherry fruit fly pest

Goal. To investigate an efficacy of the insecticides Aktelik 500 ЕС, (pyrymyphos-methyl 500 g/l), Calipso 480 SС (thiacloprid, 480 g/l), Proclaim 50 SG (emamectyn benzoat, 50 g/ kg), Movento 100 SC (spirotetramate, 100 g/l), Exirel, СЕ (cyantraniliprole, 100 g/l) and bio products Actofit, EC (aversektyn С, 0.2%), bitoxybacilyn — BTU, (insecticide), (Bacillus thuringiensis. endospores, endotoxyn, exotoxyn) and Lepidocyd-BTU, (insecticide), (Bacillus thuringiensis var. Kurstaki, endospores, endotoxyn) on a reduction of a number and a harmfulness of cherry fruit fly (Rhagoletis cerasi L.) it impact on yields in industrial cherry orchards.
 Methods. A field method, in the industrial orchards in educational production department of university. A type of cherry trees — Regina and Alfa. Planting scheme — 4.0 × 5.0 m. Year of planting — 1996. Crown shape — sparsely (improved) — tiered. Rootstock — antipka. Phases of plant development at application timing — «fruit development, (fruits about 90% of the final size)» (BBCH 81) and («fruits ripening phase») (BBCH 85). Soil — shallow, low — humus dusty — loamy podzolic leached black soils: humus content — 1.3—2.5%; pH 4.8—5.2; mobile compounds Р2О5 — 130—180 mg/kg and К2О — 8.9—9.2 mg/kg (by Chirikov method). The measures for care of the experimental site — loosening a soil in the stem strips during the growing period, an application of organic and mineral fertilizers, a pruning, a splaying of grass between the rows (row spacing), a protection from pests and diseases. The technical effectiveness of applications was determined in different rates against blood-red aphids and their impact on yields in commercial apple orchards. Calculations were made according to generally accepted methods in in horticulture, plant protection and entomology.
 Results. The use of insecticides Aktelik 500 ЕС, Calypso 480 SС), Proclaim 50 SG, Movento 100 SC Exirel, СЕ against cherry fruit fly helped to decrease number of pests on 91.4—98.9% — 93.7—97.6% accordingly. It allowed to obtain a high — grade cherries product with a yield of 1.7—1.9 times and 1.4—2.1 times higher comparing to control. The outcome of non-standard products did not exceed 0.4—0.6% compared to 34.9—44.3% in the control (water treatment). The efficacy of bio products was 32.9—40.4%. It confirms their low efficacy against this pest.
 Conclusions. The use of insecticides Aktelik 500 ЕС, Calypso 480 SС, Proclaim 50 SG, Movento 100 SC, Exirel, СЕ allows to achieve high efficacy of cherry fruit fly control in industrial plantations, to manage it number and population during whole month (the period of larva development). A limitation of pest number in cherry orchard by using the studied treatments provided a yield increase and a marketable quality of the obtained fruit products.