Row Spacing Research Articles

Effects of soil physicochemical environment on the plasticity of root growth and land productivity in maize soybean relay strip intercropping system.

Soil is a key foundation of crop root growth. There are interactions between root system and soil in multiple ways. The present study aimed to further explore the response of root distribution and morphology to soil physical and chemical environment under maize (Zea mays L.) soybean (Glycine Max L. Merr.) relay strip intercropping (MS) An experiment was carried out aiming to examine the effects of nitrogen (N) applications and interspecific distances on root system and soil environment in MS. The two N application levels, referred to as no N application (NN) and conventional N application (CN), were paired with different interspecific distances: 30, 45 and 60 cm (MS30, MS45 and MS60) and 100 cm of monoculture maize and soybean (MM/SS100). The results demonstrated that MS45 increased the distribution of soil aggregates (> 2 mm) near the crop roots and maize soil nutrients status, which increased by 20.3% and 15.6%. Meanwhile, MS reduced soil bulk density, increased soil porosity and improved soil oxygen content. Optimization of the soil environment facilitated root growth. The MS45 achieved a better result on root distribution and morphology than the other configuration and also increased land productivity. Relay intercropped soybean with maize in interspecific row spacing of 45 cm, improved soil physicochemical environment, reshaped root architecture and optimized root spatial distribution of crops to achieve greater land productivity. © 2024 Society of Chemical Industry.

RSM and ANN Modeling of Camelina (Camelina sativa L. Crantz) Seed Yield as Affected by Nitrogen, Sulfur, Cow Manure, and Row Spacing

Camelina [Camelina sativa (L.) Crantz] is an annual versatile oilseed crop of the Brassicaceae family, with an increasingly cultivated area. Predicting camelina seed yield response to fertilization and planting density is of great importance in understanding production potential and management planning. Therefore, the current study aimed to estimate the seed yield of camelina by response surface methodology (RSM) and artificial neural network (ANN) as affected by different levels of planting row spacing and nitrogen (N), sulfur (S), and cow manure (CM) fertilization. The experiment was conducted in two growing years of 2019–2020 and 2020–2021, based on a central composite design with four factors including row spacing (15–35 cm), N (0–200 kg ha−1), S (0–100 kg ha−1), and CM (0–40 t ha−1). The RSM models for seed yield versus fertilization and row spacing factors in both years were statistically significant and had an acceptable predictive ability. Camelina seed yield decreased with increasing row spacing but showed a positive response to increasing the amount of N, S, and CM fertilizers. Comparing the performance of the models showed that, although the RSM models were significant and had the necessary efficiency in predicting camelina seed yield, the ANN models were more accurate. The performance criteria of coefficient of determination (R2), root mean square error (RMSE), standard error of prediction (SEP), mean absolute error (MAE), and Akaike information criterion (AICc) averaged over the two years for the RSM model were 0.924, 51.60, 5.51, 41.14, and 394.05, respectively, and for the ANN model were 0.968, 32.62, 3.54, 19.55, and 351.33, respectively. Based on the results, the ANN modeling can be used in predicting camelina seed yield in field conditions with more confidence than the RSM technique.

Glaucoma Detection Based on Texture Feature of Neuro Retinal Rim Area in Retinal Fundus Image

One method for detecting glaucoma is by comparing ratios in the area of neuroretinal rim. Comparing area ratios in the neuroretinal rim is difficult for ophthalmologists since it requires high accuracy and is highly dependent on the patient's retinal condition. In this study, we sought to perform neuro retinal rim feature extraction based on histogram and gray level co-occurrence matrix (GLCM) of normal retinal images and glaucoma, automatically distinguish between normal eyes and eyes with glaucoma, and evaluate the method's validity using the measures of accuracy, sensitivity, and specificity We adopted a machine learning approach in conducting automatic feature extraction of the retinal rim through three main stages: 1) image acquisition, 2) pre-processing, and 3) classification. We used a dataset from RIM-ONE for normal eyes images and DRISTHI-GS for glaucoma images.Classification was carried out on 154 images (80 images for glaucoma images and 74 images for normal images). Regarding true positive, false negative, false positive, and true negative, we examined the sensitivity, specificity, and accuracy of automatic extraction and classification. The highest findings are 96.10%, 98.75%, and 93.24%, respectively. This study showed that automatic texture features and classification are possible, accurate and important in detecting glaucoma.

Sensitivity of littleseed canary grass populations from Punjab, India, to clodinafop‐propargyl and isoproturon

AbstractLittleseed canary grass (Phalaris minor Retz.) is one of the most prevalent and troublesome annual grass weed species in wheat across the Indo‐Gangetic plains (IGP) of India, including Punjab. Littleseed canary grass has evolved resistance to different herbicide sites of action in the IGP region. A targeted field survey was conducted in 2018 and 2019 for seed collection of littleseed canary grass populations (total 94) across different districts of Punjab state prior to wheat harvest. The main objective of this research was to characterize the sensitivity response of collected littleseed canary grass populations to clodinafop‐propargyl (CP) and isoproturon (IPU) herbicides in whole‐plant dose‐response assays. Among all tested populations, 68 were found to be highly sensitive to CP, whereas all 94 populations were sensitive to IPU. Based on a 50% reduction in shoot dry biomass (GR50 values) and estimated sensitivity index (SI), 26 populations exhibited reduced sensitivity (SI of 2.2–4.4) to CP herbicide. The results also revealed that the littleseed canary grass populations with reduced sensitivity (SI ≥ 2.2) to CP had high sensitivity to IPU herbicide. Overall, these results suggested a high prevalence of littleseed canary grass populations with reduced sensitivity to CP herbicide in Punjab state. Diversified weed management strategies, including the use of alternative herbicides (both preemergence and postemergence), cultural (no‐till drill for wheat sowing and narrow row spacing), and mechanical (cutting of littleseed canary grass panicles prior to wheat harvest) practices should be adopted to control littleseed canary grass populations with reduced sensitivity to CP.

Medical image encryption algorithm based on a new five-dimensional multi-band multi-wing chaotic system and QR decomposition

In this study, we propose a medical image encryption algorithm based on a new five-dimensional (5D) multi-band multi-wing chaotic system and QR decomposition. First, we construct a new 5D multi-band multi-wing chaotic system through feedback control, which has a relatively large Lyapunov exponent. Second, we decompose the plaintext image matrix and chaotic sequence into an orthogonal matrix and upper triangular matrix using QR decomposition. We multiply the orthogonal matrix decomposed from the original image by the orthogonal matrix decomposed from the chaotic sequence. In this process, we use the chaotic sequence to control left and right multiplication. Simultaneously, we chaotically rearrange the elements in the upper triangular matrix using the improved Joseph loop and then multiply the two resulting matrices. Finally, we subject the product matrix to bit-level scrambling. From the theoretical analysis and simulation results, we observed that the key space of this method was relatively large, the key sensitivity was relatively strong, it resisted attacks of statistical analysis and gray value analysis well, and it had a good encryption effect for medical images.

Sunflower genotype performance in different spacing in the northeast for Rio Grande do Sul

The sunflower productivity development is conditionate to the harvest period, density, seeding spacing, genotype, soul fertility and hydric availability. This work evaluated the adaptability and stability of 14 sunflower genotypes in the Northwest region of RS, in different row spacing. The experiment was carried in Frederico Westphalen, in the 2019/2020 harvest, with a randomized block design in a 14x2 two-factor scheme, with 14 cultivars and two spacing. Plants were sampled between the useful samples for its evaluations of: Plant height; Chapter diameter; Stem diameter; Thousand weight seeds; Grain production. The spacing of 0.90 meters provided greater chapter size. When analyzed the cultivars production between spacing, is noticeable that for spacing of 0.45 meters, cultivar 1 differed from the others, obtaining the highest productivity 1.93 ton.ha-1, and cultivar 7 the lowest productivity 0 .64 ton.ha-1, a reduction of 66.8%. The variable PMS presented better results in the spacing of 0.90 meters. Cultivar 9 showed the highest values in both spacing. The spacing between rows did not influence the variables of plant height and stem diameter for the different sunflower cultivars.

BIOMETRIC PARAMETERS OF SAFFLOWER (CARTHAMUS TINCTORIUS L.) UNDER THE INFLUENCE ON SEEDING RATE AND ROW SPACING

The aim of the present work was to establish the peculiarities of the formation of biometric parameters of safflower varieties depending on the influence of the elements of cultivation technology – the seeding rate and the row spacing in the conditions of the Right Bank Forest Steppe of Ukraine. Methods. This study was conducted in the field of the Agronomic Research Station of the National University of Life and Environmental Sciences of Ukraine in the years 2021-2023 on typical low-humus soils. The scheme of the three-factor field experiment was made to study the influence of the following factors: factor A – varieties “Dobrynia” and “Soniachnyi”, factor B – row spacing: 19, 38 and 57 cm, factor C – seeding rate: 100, 200 and 300 thousand seeds/ha. Results. It is established that the row spacing of 19 cm and a seeding rate of 300 thousand seeds/ha contributed to the formation of a better height of safflower plants than on the variants with a row spacing of 38 and 57 cm, while the plants did not overgrow under such conditions. It was investigated that the number of heads was higher in both varieties with the row spacing of 38 cm, at the same time the average number of heads of the variety “Dobrynia” was made 20,2-22,2, and of the variety “Soniachnyi” – 19,2-22,1. The mass of 1000 seeds was higher with a row spacing of 57 cm, and for “Dodrynia” variety in average it was made 47,7 g, for “Soniachnyi” variety – 49,2 g. For “Dobrynia” variety the number of seeds per plant under the seeding rate of 100 thousand seeds/ha and row spacing of 19 cm was made 450,9 and for “Sonyachnyi” variety the number of seeds per plant under the seeding rate of 100 thousand seeds/ha and row spacing of 38 cm was made 455,4. On the same variants of the experiment, the seed weight per plant was made 20,6 and 21,1 g/plant, which corresponded to the best indicators in context of the variants. Conclusions. It has been studied that the formation of plant height, the number of heads and the mass of 1000 seeds is influenced by the row spacing in the range of 53.2-68.9%, and varietal peculiarities determine the limits of deviations of the characteristics by 13-29.8%. At the same time, the seeding rate had a slight effect on the studied indicators. In contrast to these characteristics, the number of seeds per plant and the weight of seeds per plant significantly depend on the seeding rate of safflower (at the level of 71.3-78.7%), while the row spacing affects only 14.6-22.6 %, and the variety has no significant effect on these parameters.

Effect of Plant Thickness and Cotton Row Spacing on Dry Mass Accumulation

In thi article, the medium-fiber cotton variety “Ravnaq-1” was processed at different 60 cm (control), 70 cm, and 76 cm row spacings in a cultivator adopted (in Uzbekistan) and a milling cultivator with a 76 cm row spacing, along with the theoretical seedling thickness. The analysis results of the scientific research on dry mass accumulation of cotton leaving 90-100 thousand bushels/ha and 120-130 thousand bushels/ha are presented. In the conducted research, the dry mass of one cotton bush in 2020 was 118.1-97.6 grams, in 2021 it was 131. It was 2-107.5 grams. That is, when the number of saplings is large, the dry mass of one plant decreases, when analyzed per hectare, it was found that higher dry mass was accumulated in all variants when the theoretical thickness of seedlings was 90-100 thousand bush/ha, when it was 120-130 thousand bush/ha. The highest rate of dry mass accumulation per bush in different row spacings was observed in both years of the study in the case of milling cultivator with a row spacing of 76 cm and theoretical seedling thickness of 90-100 thousand bush/ha, proportionally 138.9-151 It was .5 grams. It was found that this indicator accumulated more dry mass by 20.8-41.3 grams in the first year of the study than the control variants, and by 20.3-44 grams in the second year.

МЕРЫ БОРЬБЫ С СОРНОЙ РАСТИТЕЛЬНОСТЬЮ НА ПОСЕВАХ СОИ

In the forest-steppe zone of the Republic of North Ossetia-Alania on soybean crops (Iriston varieties), the effect of the soil herbicide Harness and insurance herbicides Galaxy Top, Illoxan, Frontier was studied. The aim of the research was to study the effect of various herbicides on the contamination of crops and the species composition of weed vegetation of promising soybean varieties in the conditions of the forest-steppe zone of the Russian Federation. Scientific novelty of research. The influence of various herbicides on the growth, development and productivity of promising soybean varieties has been studied; the effect of herbicides on the contamination of crops has been shown; The removal of basic nutrients by individual species of weeds has been established. Every year, more and more new herbicides appear on the market, so studying the properties of herbicides and their effect on weeds is an urgent task. The methodology. On the leached chernozems of the forest-steppe zone of the Russian Federation-Alania in 2020-2022, on the experimental fields of the SCNIIGPSH VNC RAS. The sowing method is wide–row (row spacing – 45 cm), with a seeding rate of 400 thousand germinating seeds per 1 hectare. The research area is hot, mostly well-humidified. The sum of temperatures is 3000-3200 °C. The climate of the described territory is continental, the absolute annual amplitude of air temperature fluctuations is 64 ° C. On the territory of the experiment, the soil is represented by medium-sized, heavy-loamy leached chernozem, underlain by pebbles. The soil is mechanically loamy, with a depth that turns into light and medium loamy- rocky. The authors found that chemical protection of crops from weeds in the forest-steppe zone should be carried out with combinations of herbicides Pivot 0.9 + Bazagran 1.1. At the same time, weed death reaches from 79.4 to 92.9%. After harvesting soybeans, the soil is quite suitable for the cultivation of any agricultural crop, since (in specified doses) herbicides do not accumulate in products and are safe for the environment.

Desempenho agronômico do amaranto no semiárido em função do arranjo espacial

ABSTRACT The potential effects of climate change on agricultural yields require a greater understanding of cropping systems that include underutilized agricultural crops with greater adaptive capacity to water and thermal stresses, such as grain amaranth (Amaranthus sp.). The aim of this work was to evaluate how the planting arrangement affects the agronomic performance of grain amaranth BRS Alegria (Amaranthus cruentus L.) grown under semi-arid conditions. One experiment was carried out in a complete randomized block design with five repetitions in a 2 x 3 factorial scheme (two row spacings - 30 and 40 cm; three plant spacings - 20; 30 and 40 cm); in two crop years, 2019 and 2020 in the municipality of Pentecoste, CE, Brazil. The evaluated characteristics were plant height, stem diameter, number of leaves, fresh matter yield, aboveground biomass yield (dry weight), grain yield, thousand-grain weight, lipid content, and harvest and lodging indexes. The evaluated planting arrangements did not affect plant height and number of leaves, but did affect stem diameter and lodging index, as the 40 cm plant spacing resulted in greater stem diameter and lower lodging index. Narrow spacing (30 x 20 cm) resulted in a higher lodging index but also resulted in a higher fresh matter yield, aboveground biomass, grain yield, harvest index and lipid content. Thousand-grain weight was greater at 30 x 40 cm spacing. The 30 x 20 cm arrangement can be recommended for the cultivation of grain amaranth in the study area.

Машина для вычесывания сорняков: эффективность обработки посевов бахчевых

The cultivation of melons and gourds is a rather laborious process and the main costs fall on the treatment of crops from weeds and harvesting. Before the weed damage threshold is reached, three or four row spacing treatments with cultivators are required, which ensures soil compaction. The number of treatments can be reduced by loosening the row spacing 0.1 to 0.12 m with a device capable of affecting the root system of weeds. It is established that weeding out is affected by the gear ratio between the weed extractor rotors. In order to determine the optimal value of the gear ratio on the technological process, the author conducted laboratory and field studies. The distance, on which the root diggers interact with the soil, was determined in the soil channel when varying the gear ratio from 1.0 to 4.0 and the depth of cultivation of 0.05 and 0.1 m. In field conditions, the author measured the length of weed roots removed from the soil at a working depth of 0.05 and 0.1 m, at the gear ratio of 1.0 to 4.5, and with a pitch of 0.5. As a result of research, the author observed the optimum length of traces of the front sections of the digger equaling 0.35 m and that of rear ones equaling 0.08 m at a gear ratio of 4.0. The greatest length of weed roots extracted to the surface with the digger blade of 0.26 to 0.32 m was observed at a gear ratio of 4.0 and a depth of 0.1 m. It is concluded that the efficiency of tillage depends on the gear ratio between front and rear rotors and the depth of tillage. The highest weeding-out efficiency was observed at a gear ratio between the weed extractor rotors of 4.0.

Електросапа – культиватор «Мрія»

In this article, we propose the design of a universal electric hoe - a cultivator with a balancing drive wheel for inter-row cultivation of row crops. Currently, chemical methods and mechanical loosening are widespread in modern agriculture, but concerns about the use of herbicides, especially in "organic farming," leave no choice. We propose a machine that allows for inter-row cultivation of any row crops, even by a child. The proposed device is to be equipped with an electric motor with an electric battery, which will allow for greater mobility, low noise and vibration levels, as well as a set of tools to perform all technological operations when growing row crops. Ninety percent of manual labor in the cultivation of garden crops is spent on sowing and subsequent cultivation of row spacing. Therefore, the device must have a certain set of tools, such as a "hiller paw" for cutting furrows and hilling; a "one-sided paw" for removing weeds from the row spacing; a "lancet paw" for deep loosening and crust destruction. As can be seen from the above, manual weeding is the most effective method of weed control for working on a personal plot. However, due to the high labor intensity of the work, the task of creating a device for processing both inter-row and intra-row weeding is now being addressed. Field tests have shown that this device performs all the tasks in full, and the battery capacity, subject to continuous processing, is enough for 400 m2. The next step in improving the functional characteristics of the proposed design is to equip the electric chopper-cultivator with a device for inter-row cultivation. Inter-row cultivation is a method of weed control that involves removing weeds from the internal space between plants in one row. This process can be an important step in crop care and is aimed at reducing competition between weeds and crops. It is important to perform inter-row weeding in a timely manner, especially in the early stages of crop growth when weeds are just beginning to gain weight. It is economically feasible for the operator to control the machine manually. After a short practice, the control accuracy can reach several centimeters.

Effects of plant and row spacing and nitrogen levels on growth, yield and economics of onion (Allium cepa L.) in Khost, Afghanistan

Effects of plant and row spacing and nitrogen levels on growth, yield and economics of onion (Allium cepa L.) in Khost, Afghanistan

Influence of seed rate and row spacing across on two different maturity groups of sorghum grain yield and quality characteristics

Influence of seed rate and row spacing across on two different maturity groups of sorghum grain yield and quality characteristics

Fault data enhancement and real-time diagnosis using optimized ViT ++ algorithm for electric drive system

With the rapid development of electric drive technology for new energy vehicles, fault data identification of key components of electric drives has become a crucial issue in improving the stability and safety of electric systems. However, traditional fault data recognition methods have many limitations in dealing with complex and variable operating fault situations. To address this problem, this paper proposes a deep learning model, Vision Transformer Plus (ViT++), based on the self-attention mechanism and combined with data enhancement strategies for fault identification of energy vehicle electric drive system. Accurately identifying fault types is achieved by transforming the electric drive system fault data into an image matrix and performing feature extraction and learning with the help of the ViT model. To validate the effectiveness of the proposed method, we conducted extensive cross-experiments using a large amount of actual electric drive key component fault data and applying a data enhancement strategy. The experimental results show that the fault data recognition method based on the ViT algorithm has higher accuracy and robustness than the traditional convolutional neural network (CNN)-based method. Therefore, the proposed method in this paper is conducive to improving the accuracy and efficiency of fault data identification for key components in electric vehicles, thus playing a critical role in analyzing electric drive system faults.

A Deep Quantum Convolutional Neural Network Based Facial Expression Recognition For Mental Health Analysis.

The purpose of this work is to analyze how new technologies can enhance clinical practice while also examining the physical traits of emotional expressiveness of face expression in a number of psychiatric illnesses. Hence, in this work, an automatic facial expression recognition system has been proposed that analyzes static, sequential, or video facial images from medical healthcare data to detect emotions in people's facial regions. The proposed method has been implemented in five steps. The first step is image preprocessing, where a facial region of interest has been segmented from the input image. The second component includes a classical deep feature representation and the quantum part that involves successive sets of quantum convolutional layers followed by random quantum variational circuits for feature learning. Here, the proposed system has attained a faster training approach using the proposed quantum convolutional neural network approach that takes [Formula: see text] time. In contrast, the classical convolutional neural network models have [Formula: see text] time. Additionally, some performance improvement techniques, such as image augmentation, fine-tuning, matrix normalization, and transfer learning methods, have been applied to the recognition system. Finally, the scores due to classical and quantum deep learning models are fused to improve the performance of the proposed method. Extensive experimentation with Karolinska-directed emotional faces (KDEF), Static Facial Expressions in the Wild (SFEW 2.0), and Facial Expression Recognition 2013 (FER-2013) benchmark databases and compared with other state-of-the-art methods that show the improvement of the proposed system.

Effect of Organic and Chemical Fertilizer Applications on Yield And Chlorophyll Content of Yedikule Lettuce (Lactuva Sativa L.) Plant

This study was conducted in Erciyes University Agricultural Research and Application Land in 2020 to determine the effects of organic and chemical fertilizers applied from the base to the Yedikule lettuce plant on plant yield and plant chlorophyll content. In the study, solid worm manure (100 kg da-1) was preferred as organic fertilizer, while 15 - 15 - 15 compound bottom fertilizer was preferred as chemical fertilizer. Seedlings of lettuce plants were planted with 16 plants in each plot, with a row spacing of 25 cm and a spacing of 50 cm between rows. In the study, the chlorophyll content of plant leaves (SPAD) was examined, as well as the yield parameters of plant height (cm), plant width (cm) and plant fresh weight (g/plant). As a result of the examination, it was determined that chemical fertilizer application had a positive effect on the fresh weight of the plant, and organic fertilizer application had a positive effect on the chlorophyll content.

Introduction of Guizotia abyssinica (L.F.) Cass. in agroecological conditions of the Central region of the Russian Federation

Global climate changes taking place over the past decades make the issue of biodiversification of the food supply of our country more and more urgent, which can serve to strengthen it through the introduction of ecologically plastic plants, and, most importantly, resistant to abiotic stresses of the growing season. In this regard, the Abyssinian herb is of interest, in the world it is considered not only as an oilseed, but also as a fodder crop, the green mass of which is suitable for use both fresh and for silage. In 2023, in the agroecological conditions of the Field Experimental Station of the RGAU-MSHA named after K.A. Timiryazev, we conducted a study of nougat in order to determine the possibility of cultivating this crop in the conditions of the Central region of the Russian Federation for fodder purposes. The object of research was the Lipchanin variety, sowing was carried out with a row spacing of 15 cm, without fertilizing in 4-fold repetition.

Effect of intra row spacing and NPS fertilizer rate on yield and yield components of Mung bean (Vigna radiata L.) in Arba Minch district, Southern Ethiopia

Effect of intra row spacing and NPS fertilizer rate on yield and yield components of Mung bean (Vigna radiata L.) in Arba Minch district, Southern Ethiopia

ВПЛИВ СПОСОБІВ СІВБИ НА ЕФЕКТИВНІСТЬ ВИРОЩУВАННЯ СОНЯШНИКА В УМОВАХ ЗАХОДУ УКРАЇНИ

The purpose of research: to determine the influence of different methods of sowing on the formation of seed yield and the efficiency of sunflower cultivation in the soil and climatic conditions of Western Ukraine. Methods. Field research was conducted in the soil and climatic conditions of Western Ukraine. The experimental field was characterized by sod deep clayey sandy soils. Two methods of sunflower sowing were studied: traditional with a row spacing of 70 cm using a «Gaspardo Renata R MTR 8» precision seeding vacuum planter and narrow-row sowing with a row spacing of 12.5 cm – the «Gaspardo Corona 600» seeding complex. During the research, the structural elements of sunflower seed productivity and the efficiency of two methods of sowing were estimated. Results: According to the research results it was established that in the variant with traditional sowing the average number of seeds in the basket was greater. The same trend was also observed concerning basket size, seed weight, and productivity of one plant, which made it possible to form a sunflower seed yield of 1.67 t/ha, which is 0.14 t/ha (by 9.1%) more than in the plot with narrow-row sowing. Direct operational use of technical means for performing technological operations of soil preparation, fertilizer application, and seed sowing in traditional sowing amounts to UAH 2,541/ha and is higher by UAH 667/ha compared to costs in the narrow-row variant. However, due to the higher yield in the version of traditional sowing, a higher income from the sale of seed was obtained by 1890 hryvnias/ha. Therefore, the effectiveness of the applied technical and technological solutions on the plot with traditional sowing amounted to 1223 hryvnias/ha. Conclusions. The «Gaspardo Corona 600» sowing complex can perform narrow-row sowing of sunflower seeds with the specified sowing rate in the conditions of Western Ukraine. Although a slightly lower yield was obtained in the variant with narrow-row sowing, direct operating costs for pre-sowing soil cultivation and sowing are lower than for technical and technological solutions for implementing traditional wide-row sowing. The results of using the «Gaspardo Corona 600» sowing complex for sunflower sowing can be useful for farmers when deciding to buy a row drill and save the financial resources of farms. Keywords: sunflower, methods of sowing seeds, row seeder, sowing complex, productivity, efficiency.