scholarly journals VERTICAL SPINDLE COTTON HARVESTER WITH SYMMETRIC MOVEMENT OF SPINDLE DRUMS

2021 ◽  
Vol 13 (3) ◽  
pp. 8-13
Author(s):  
Abdusalam Abdukarimov ◽  

The article deals with the trends in the development of structures, research work on modernization and creation of new vertical spindle cotton harvesting apparatus (CHA). Authors developed new CHA that works as follows: the CHA with a cotton picker moves on the cotton field; the cotton plants getting into the inter-drum slots are processed, that is, the raw cotton be harvested. The CHA are in their original position before picking raw cotton. When a thick cotton plant gets into the inter-drum slot of the front pair of drums, the spindle drums move apart and the inter-drum slot opens, while the connecting rods and the sliders move forward, providing the symmetrical opening of the slot relative to the longitudinal line of the cotton plant row. Further, this thick plant falls into the inter-drum slot of the second pair of drums, while the inter-drum slot of the second drums opens, while the connecting rods and the sliders move along the guides forward, providing the symmetrical opening of the slot relative to the longitudinal line of the cotton plant rows. With such a pairwise symmetric movement of the SD, depending on the thickness of the cotton plant, the force of spindle pressing on the cotton plant from both sides is identical and symmetrical, since the SD move symmetrically to the longitudinal line passing along the cotton plant row.

2021 ◽  
Vol 13 (14) ◽  
pp. 2822
Author(s):  
Zhe Lin ◽  
Wenxuan Guo

An accurate stand count is a prerequisite to determining the emergence rate, assessing seedling vigor, and facilitating site-specific management for optimal crop production. Traditional manual counting methods in stand assessment are labor intensive and time consuming for large-scale breeding programs or production field operations. This study aimed to apply two deep learning models, the MobileNet and CenterNet, to detect and count cotton plants at the seedling stage with unmanned aerial system (UAS) images. These models were trained with two datasets containing 400 and 900 images with variations in plant size and soil background brightness. The performance of these models was assessed with two testing datasets of different dimensions, testing dataset 1 with 300 by 400 pixels and testing dataset 2 with 250 by 1200 pixels. The model validation results showed that the mean average precision (mAP) and average recall (AR) were 79% and 73% for the CenterNet model, and 86% and 72% for the MobileNet model with 900 training images. The accuracy of cotton plant detection and counting was higher with testing dataset 1 for both CenterNet and MobileNet models. The results showed that the CenterNet model had a better overall performance for cotton plant detection and counting with 900 training images. The results also indicated that more training images are required when applying object detection models on images with different dimensions from training datasets. The mean absolute percentage error (MAPE), coefficient of determination (R2), and the root mean squared error (RMSE) values of the cotton plant counting were 0.07%, 0.98 and 0.37, respectively, with testing dataset 1 for the CenterNet model with 900 training images. Both MobileNet and CenterNet models have the potential to accurately and timely detect and count cotton plants based on high-resolution UAS images at the seedling stage. This study provides valuable information for selecting the right deep learning tools and the appropriate number of training images for object detection projects in agricultural applications.


2019 ◽  
Vol 95 (9) ◽  
pp. 854-857
Author(s):  
Tulkin I. Iskandarov ◽  
N. V. Slavinskaya ◽  
G. T. Iskandarova

In the article there are presented results of the study of the impact of working of mechanicians-drivers performing cotton-plant defoliation with a new import-substituting low-toxic defoliant denoted as «Fandef-Alo» on a functional state of various systems of the organism. Working conditions and the character of labor processes under the execution of defoliation were revealed to give rise in adverse shifts of physiological responses of various systems of the organism in mechanician-drivers, and the noise and the overwork labor process elevate the probability for the risk of the occurrence of occupational diseases that is indicates to the need for measures for the making labor healthy.


2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Ravinderdeep SINGH BRAR ◽  
Avneesh KUMAR ◽  
Simranjeet KAUR ◽  
Sandip SAHA ◽  
Anuj KUMAR ◽  
...  

Abstract Cotton production substantiated a crucial part in the escalating economic development of many countries. To realize the increasing global demand for cotton, the emphasis should be laid on to improve cotton fiber growth and production. The bioengineered transgenic cotton proved expedient in resolving inadequacies of conventional cotton, but still required improvements to encounter heightened demand of textile industries. One possible solution pertaining to this has been provided by nanoscience in the form of metal or metal oxide nanoparticles. These metal oxide nanoparticles have easy access to the various parts of cotton plants through its transportation system, and thus significantly influence several parameters relative to the growth and production of cotton fiber. This review summarizes the distribution and accumulation of metal oxide nanoparticles in cotton plant and its impact on different plant growth-promoting factors, which resulted in the improved cotton yields. Graphical abstract Metal/metal-oxide nanoparticles have easy access to the various parts of cotton plant through its transportation system, and thus significantly influence its growth parameters, and hence the production of cotton fiber. This review summarizes the distribution and accumulation of metal oxide nanoparticles in cotton plants, and its impact on different plant growth promoting factors.


2017 ◽  
Vol 52 (7) ◽  
pp. 493-499
Author(s):  
José Cláudio Barros Ferraz ◽  
Cláudia Helena Cysneiros Matos ◽  
Carlos Romero Ferreira de Oliveira ◽  
Maria das Graças Rosa de Sá ◽  
Antônia Gilciléia Cunha da Conceição

Abstract: The objective of this work was to evaluate the toxicity, repellency, efficiency, and phytotoxicity of the aqueous extract of juazeiro (Ziziphus joazeiro) leaves in the control of the red spider mite, Tetranychus ludeni, on cotton plant. For toxicity evaluation, T. ludeni adult females were put on cotton leaf discs sprayed with the juazeiro extract. The repellent effect was verified in arenas that contained cotton leaf discs treated or not with the aqueous extract. The control efficiency of the juazeiro extract was evaluated by the infestation of cotton plants by adult female mites, followed by spraying with the extract. Measured LC50 was 3.54% (m/v), with 76.47% mortality and repellent effect. There was control efficiency for 120 hours, with 78.02% average, without significant difference between the evaluation intervals. Cotton plants did not show phytotoxicity. The juazeiro aqueous extract shows potential as an alternative control of T. ludeni on cotton plant due to its high toxicity, repellent effect, and efficiency in causing mortality, without being phytotoxic to cotton plants.


Author(s):  
Santosh R. Patil ◽  
S. Krishna ◽  
S. S. Gawade ◽  
R. G. Desavale

Abstract In this paper, a detailed analysis of a recoil system of an artillery gun has been carried out with a view to minimize recoil length by absorbing the thrust produced due to firing and bring the gun barrel to its original position for the next round of fire. In many structural and defense applications, minimization of recoil length is one of the major concerns. A lot of research work has been carried out on the recoil mechanism of an artillery gun to improve its mobility in the hilly region. The effect of recoil mass displacement and high fire rate to improve the overall efficiency of an artillery gun has been studied. In this work, the performance of an artillery gun recoil system is studied by using a damper with electrorheological (ER) fluid. Experimental and numerical studies are carried out to evaluate the performance of the recoil system in terms of recoil length and total recoil time at different elevation angles of firing, ranging from 0 to 80°. It is seen that the use of developed ER damper in the gun recoil system improves its dynamic performance.


Author(s):  
Safaa A. Mahmoud ◽  
Hussein M.M. ◽  
A.S. Taalab ◽  
Hanan S. Siam

Application of antioxidant materials like absicisic acid to alleviate salinity stress and promote cotton growth is high effectiveness target, whereas cotton plant is an attractive industrial crop. Pot experiment was conducted to evaluate the effect of salinity stress and absicisic acid (antioxidant materials to alleviate salinity stress) on cotton growth and macro nutrients status in shoots of cotton plants. Plants subjected to two salinity levels (2500 and 5000 ppm as diluted sea water), and tap water (250ppm) as control, sprayed absicisic acid (ABA) with two concentrations (20 and 40 ppm of ABA) and distilled water as a control. Salinity decreased stem and leaves dry weight compare to the control treatment. The lower concentrations of ABA (20 and 40 ppm as a foliar spray) improve dry weight of stem and leaves. Reversely, leaves/stem ratio decreased with both concentrations of the absicisic acid. The increment in dry weight of leaves and stem or their sum showed its higher values by application 40 ppm from ABA under the 5000 ppm salinity level and also under fresh water treatment but under the 2500 ppm treatment the highest values were by 20 ppm of growth regulator. Nevertheless, L/S ratio decreased by ABA treatment, whereas, the high concentration of ABA (40ppm) was super than lower concentration (20ppm) under both salinity levels. Generally, it can be used diluted seawater in irrigation of cotton plant with spraying abscisic acid to alleviate the harmful effect of salinity.


Cotton plant is one of the cash crops in India. For more profit its intense care is necessary. Many researchers are using machine learning for early detections of cotton plant disease. Convolution neural network (CNN) is a deep feed forward artificial neural network. This algorithm is little faster as compared to other classification algorithms. In this paper, CNN is used for classification of the diseased portion of cotton plant images. The result shows that the model used classifies the healthy and diseased cotton leaves more accurately


2022 ◽  
Vol 14 (2) ◽  
pp. 122
Author(s):  
Rupinder Chandel ◽  
Karun Sharma

Crop characteristics of cotton are crucial to identify the important crop attributes like plant height, canopy width, sympods and monopods distribution, row spacing which affects the performance of mechanical harvesters. The activity and effectiveness of most harvest aids, including desiccants is reduced by low temperature conditions. Trash content was observed to be lesser in cotton harvested by cotton picker than cotton harvested by cotton stripper. It was found that a maximum cotton yield of 1000 kg acre-1 was obtained for a cotton plant population ranging between 45,000 and 90,000 plants acre-1. Likewise, a minimum of 700 to 740 kg acre-1 was observed for a cotton plant population of 33,000 plants acre-1. In higher yielding cotton, cotton pickers recorded higher picking rate than cotton strippers. Picking/harvesting efficiency of cotton stripper with both finger and brush type mechanism was higher than the spindle type cotton picker. Picking efficiency of pneumatic picker was higher than the other types of picking mechanisms, but with lesser rate of picking capacity. Gin turnout of cotton was higher with cotton picker when compared with cotton stripper due to lesser trash content in picker harvested cotton. The horsepower requirement of cotton stripper ranged from ½ to ¼ horsepower and cost is about two-thirds of the price as compared with cotton picker. The scheduling and monitoring of various activities involved in cotton picking by using a suitable software model can increase the benefits of both growers and harvesting companies. The reduction in uniformity with roller gin-type lint cleaners ranged between 0.2 to 0.8%, which was lesser as compared with saw-type lint cleaners. Introducing mechanical harvesting has always been a decades-long process. In Turkey, it took 20 years and in Greece, this process took place very gradually over a 15-year period. Top cotton producing countries like India, Pakistan, China, Uzbekistan and other developing countries like Iran Paraguay are still not using machine harvesting. The introduction of mechanical cotton picker or stripper can help improve quality and quantity of cotton picking thereby giving more benefit to growers in developing countries and improving their socio-economic status. The most controversial issue raised by the introduction of the mechanical cotton harvester is great migration as the machines eliminated jobs and forced poor families to leave their homes and farms in search for urban jobs. Therefore Government policies towards cotton harvesting mechanization must include the alternative jobs, packages for dependent manual cotton pickers and their families.


1934 ◽  
Vol 66 (9) ◽  
pp. 198-199 ◽  
Author(s):  
F. A. Fenton

In May, 1933, my attention was drawn to a peculiar leaf injury to young cotton plants at Presidio, Texas. The leaves showed a striking reddish brown spotting from the upper side that at first glance resembled red-spider injury. The damaged plants were quite localized in one section of a large cotton field. Examinaion revealed the presence of large numbers of lace bugs present on the lower surface of the leaves. This species was identified as Gargaphia iridescens Champion by H. G Barber of the U. S. National Museum. Gibson, 1919, records the food plants as Ambrosia, Solanum, Malva, and sand nettle. According to records in the U. S. National Museum, this species has been collected by McMillan at Brownsville, Texas, on Solanum, string beans, and Ambrosia; on egg plant at Olmito, Texas, by McMillan; on Croton texanus at Tucson, Arizona, by W. D. Pierce.


2008 ◽  
Author(s):  
David Granot ◽  
Scott Holaday ◽  
Randy D. Allen

a. Objectives (a) Identification and characterization of the cotton fiber FRKs; (b) Generating transgenic cotton plants overproducing either substrate inhibited tomato FRK or tomato FRK without substrate inhibition; (c) Generating transgenic cotton plants with RNAi suppression of fiber expressed FRKs; (d) Generating Arabidopsis plants that over express FRK1, FRK2, or both genes, as additional means to assess the contribution of FRK to cellulose synthesis and biomass production.   b. Background to the topic: Cellulose synthesis and fiber elongation are dependent on sugar metabolism. Previous results suggested that FRKs (fructokinase enzymes that specifically phosphorylate fructose) are major players in sugar metabolism and cellulose synthesis. We therefore hypothesized that increasing fructose phosphorylation may enhance fiber elongation and cellulose synthesis in cotton plants. Accordinlgy, the objectives of this research were:   c. Major conclusions and achievements: Two cotton FRKs expressed in fibers, GhFRK2 and GhFRK3, were cloned and characterized. We found that GhFRK2 enzyme is located in the cytosol and GhFRK3 is located within plastids. Both enzymes enable growth on fructose (but not on glucose) of hexose kinase deficient yeast strain, confirming the fructokinase activity of the cloned genes. RNAi constructs with each gene were prepared and sent to the US collaborator to generate cotton plants with RNAi suppression of these genes.   To examine the effect of FRKs using Arabidopsis plants we generated transgenic plants expressing either LeFRK1 or LeFRK2 at high level. No visible phenotype has been observed. Yet, plants expressing both genes simultaneously are being created and will be tested.   To test our hypothesis that increasing fructose phosphorylation may enhance fiber cellulose synthesis, we generated twenty independent transgenic cotton plant lines overexpressing Lycopersicon (Le) FRK1. Transgene expression was high in leaves and moderate in developing fiber, but enhanced FRK activity in fibers was inconsistent between experiments. Some lines exhibited a 9-11% enhancement of fiber length or strength, but only one line tested had consistent improvement in fiber strength that correlated with elevated FRK activity in the fibers. However, in one experiment, seed cotton mass was improved in all transgenic lines and correlated with enhanced FRK activity in fibers. When greenhouse plants were subjected to severe drought during flowering and boll development, no genotypic differences in fiber quality were noted. Seed cotton mass was improved for two transgenic lines but did not correlate with fiber FRK activity. We conclude that LeFRK1 over-expression in fibers has only a small effect on fiber quality, and any positive effects depend on optimum conditions. The improvement in productivity for greenhouse plants may have been due to better structural development of the water-conducting tissue (xylem) of the stem, since stem diameters were larger for some lines and the activity of FRK in the outer xylem greater than observed for wild-type plants. We are testing this idea and developing other transgenic cotton plants to understand the roles of FRK in fiber and xylem development. We see the potential to develop a cotton plant with improved stem strength and productivity under drought for windy, semi-arid regions where cotton is grown.   d. Implications, scientific and agricultural: FRKs are probably bottle neck enzymes for biomass and wood synthesis and their increased expression has the potential to enhance wood and biomass production, not only in cotton plants but also in other feed and energy renewable plants.


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