Impact of Wild Blueberry Fruit Characteristics and Machine Parameters on Performance of a Mechanical Harvester: Basis for Automation

2020 ◽  
Vol 36 (3) ◽  
pp. 271-280
Author(s):  
Qamar U Zaman ◽  
Muhammad W Jameel ◽  
Aitazaz A Farooque ◽  
Travis J Esau ◽  
Arnold W Schumann

HighlightsAutomated harvesting of wild blueberry can decrease cost of production.Ground speed and header RPM of a wild blueberry harvester have been evaluated for efficiency.Increased harvestable yield will generate more revenue for wild blueberry growers.This study suggests automation of the wild blueberry harvester to improve harvest efficiency.Abstract. Mechanical harvesting of wild blueberries results in fruit losses during manual adjustment of harvester’s operations in fields of variable fruit characteristics (fruit yield, fruit zone, and fruit diameter). This study examined the impact of fruit characteristics and machine operating parameters including harvester ground speed (1.2, 1.6, and 2.0 km h-1) and header revolutions per minute (26, 28, and 30 rpm) on berry losses. Fruit characteristics were classified into two categories; i.e., fruit zone (LFZ: low fruit zone - average plant height = 17 cm and HFZ; high fruit zone - average plant height > 17 cm) and fruit yield (LFY; low fruit yield - average yield = 3000 kg ha-1 and HFY; high fruit yield - average yield > 3000 kg ha-1). Experimental treatments (ground speed × RPM: 3×3) were randomly replicated thrice under factorial design in four fields at each combination of fruit characteristics (LFZ-LFY, LFZ-HFY, HFZ-LFY, and HFZ-HFY). The fruit diameter was used as a co-variate in this study. With moderate to high variability in fruit characteristics and berry losses within the selected fields, the picking performance of the tested harvester was better in the high fruit zone irrespective of fruit yield at all treatment combinations of ground speed and header rpm. There were lesser fruit losses in high yielding areas at the lowest ground speed and header rpm. The harvester’s picking performance was better in high fruit zone areas at a traditional head height of up to 10 cm above ground. However, 5%-15% variations in fruit zone reduced berry picking efficiency at a constant head height. It is concluded that the selection of an ideal combination of harvester ground speed and header rpm based on crop variations in blueberry fields can minimize berry losses during harvesting. The findings of this study would suggest that automation of the tested wild blueberry harvester could improve harvest efficiency Keywords: Automation, Fruit losses, Mechanical harvester, Operational settings, Wild blueberry.

2017 ◽  
Vol 33 (5) ◽  
pp. 655-666
Author(s):  
Aitazaz Ahsan Farooque ◽  
Qamar Uz Zaman ◽  
Travis Esau ◽  
Young Ki Chang ◽  
Arnold Walter Schumann ◽  
...  

Abstract. Spatial variability in fruit losses in relation to fruit yield, plant height, and ground slope can help to automate the wild blueberry harvester to improve picking performance. Currently, harvester operators adjust harvester’s head height, ground speed, and revolutions per minute (rpm) manually. This is not only laborious but also stressful for operators, as they encounter spatial variability during harvesting. The goal of this work was to identify the automation potential of the harvester to improve harvestable yield and reduce operator’s stress, keeping in view the spatial variability. Two fields were selected and test plots were constructed to examine the performance of the harvester in five zones of plant height, fruit yield, and ground slope. Fruit yield plant height and ground slope were recorded from each plot manually to examine their impact on total fruit loss. Keywords: Automation, Fruit losses, Spatial variability, Wild blueberry, Zonal analysis.Results confirmed significant variability in fruit yield, plant height, and ground slope. Fruit losses were significantly influenced by the spatial variations. Fruit losses increased with an increase in fruit yield and ground slope during mechanical harvesting. The picking performance of the blueberry harvester was significantly lower in short and very tall plants within selected fields. The dependence of fruit losses on fruit yield, plant height, and ground slope emphasize the need for real-time adjustments in machine operating parameters to improve berry recovery. Based on the results, it is concluded that there is a significant advantage of harvester’s automation to increase profit margins for growers with no additional cost. Keywords: Automation, Fruit losses, Spatial variability, Wild blueberry, Zonal analysis.


2008 ◽  
Vol 51 (5) ◽  
pp. 1539-1544 ◽  
Author(s):  
Q. U. Zaman ◽  
A. W. Schumann ◽  
D. C. Percival ◽  
R. J. Gordon

2015 ◽  
Vol 40 (3) ◽  
pp. 465-478
Author(s):  
MA Hafiz ◽  
A Biswas ◽  
M Zakaria ◽  
J Hassan ◽  
NA Ivy

This experiment was conducted during September, 2011 to March, 2012 in the experimental field of Department of Horticulture, Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Gazipur to find out the effect of planting date on the yield of broccoli genotypes. There were five genotypes viz. Early green, Forest green, Green calabrese, Premium crop and Green king and four planting dates viz. 2 October, 27 October, 21 November and 16 December. The treatment effects were statistically analyzed and found significant in most of the characters studied. Genotype Green calabrese was the highest in average plant height (53.70 cm). Green king produced the maximum spread diameter (69.23 cm), stem diameter (30.35 mm) and early initiation of floral head. Genotype Early green performed the best regarding head weight (343.87 g), yield per plant (477.4 g) and yield (19.10 t/ha). Broccoli planted on 21 November initiated early flower head, maximum head diameter (16.99 cm), head weight (314.49 g), yield per plant (453.64 g) and total yield (18.15 t/ha). The genotype Early green planted on 21 November showed the best performance in yield per plant (580.17 g) and yield hectare (23.21 t/ha).Bangladesh J. Agril. Res. 40(3): 465-478, September 2015


Author(s):  
Canan Nilay Duran ◽  
Gizem Demirkaplan ◽  
Sevinç Şener

Passionflower is a member of Passifloraceae family, it can be used as medicinal and ornamental plants in addition to its consumption as fruit in the world. Guava (Psidium guajava L.) fruits, which has a rich nutrient content, are consumed both fresh and processed. Passionfruit and guava plants, which can only be cultivated in temperate southern coasts in our country, have gained commercial importance because of the fruits' export potential, high medical importance and nutrient. This study was carried out to determine the effects of some bioactivator applications on the criteria of sapling growth and development of passionflower and guava plants. The experiment was conducted between 2018-2019 under greenhouse conditions. Saplings obtained from seed germination in Akdeniz University Faculty of Agriculture Research and Experiment Area were used as plant material. 3 different commercial preparations called Messenger, Crop-set and ISR-2000 were used as bioactivators. Plant height (cm), stem diameter (mm) and number of leaves (number / plant) were measured weekly, in order to determine the effect of the applications on the growth and development of saplings. At the end of the study, it was determined that the highest average plant height (10.17 cm), stem diameter (13.53 mm) were obtained in ISR-2000 application. The highest average plant height (11.93 cm), stem diameter (16.44 mm) and number of leaves (9.07 units / plant) were obtained from Messenger application in guava plant. When the results obtained are evaluated, it is recommended that ISR-2000 bioactivator can be applied in passionflower sapling cultivation and Messenger bioactivator can be applied for guava sapling cultivation.


Author(s):  
Nusrat Jahan ◽  
Md. Ashabul Hoque ◽  
Md. Rasal-Monir ◽  
Sumya Fatima ◽  
Mohammad Nurul Islam ◽  
...  

The study was carried out to find out the effect of zinc (Zn) and boron (B) on growth and yield of okra (BARI Dherosh 1). The experiment was laid out in Randomized Complete Block Design (RCBD) with three replications. The treatments of the experiment were, T0 (without Zn or B), T1 (20 kg Zn ha-1), T2 (30 kg Zn ha-1), T3 (10 kg B ha-1), T4 (20 kg B ha-1), T5 (20 kg Zn ha-1 + 10 kg B ha-1), T6 (20 kg Zn ha-1 + 20 kg B ha-1), T7 (30 kg Zn ha-1 + 10 kg B ha-1) and T8 (30 kg Zn ha-1 + 20 kg B ha-1) were undertaken to evaluate the best results of the study. The highest plant height was found in T8 (30 kg Zn ha-1 + 20 kg B ha-1) but the highest number of leaves plant-1 was recorded from T7 (30 kg Zn ha-1 + 10 kg B ha-1). On the other hand, the maximum leaf area index, SPAD value, mean fruit weight, fruit length, fruit diameter, fruit dry matter (%), number of fruits plant-1, fresh fruit weight plant-1 , fruit yield plot-1 and fruit yield ha-1 were found in T7 (30 kg Zn ha-1 + 10 kg B ha-1), while the control (T0) showed lowest performance for the respected parameters. It is strongly concluded that 30 kg Zn ha-1 with 10 kg B ha-1 combination may be helpful for okra cultivation in the field level to increase okra production.


2021 ◽  
Vol 108 (december) ◽  
Author(s):  
Gurve VR ◽  
◽  
Swarna Priya R ◽  
Pugalendhi L ◽  
Karthikeyan G ◽  
...  

Okra is India’s most widely grown tropical and subtropical vegetable crop. Despite widespread cultivation, crop yield and productivity remain subpar. Yellow vein mosaic virus (YVMV) disease is a serious threat to Indian okra production, causing yield losses ranging from 17.09 to 96.49 per cent. In this context, the present study was aimed to assess the variability and character association of 74 elite germplasm accessions for thirteen quantitative and quality traits. High phenotypic and genotypic coefficient of variation (PCV and GCV) were observed among all evaluated traits except fruit diameter, which showed a moderate PCV and GCV. All traits had high heritability and high genetic advance, implying that the heritability was most likely due to additive gene effects. Direct selection of these traits would be advantageous for okra improvement, especially in developing a YVMV resistant genotype. Fruit yield per plant exhibited a significant and positive genotypic as well as phenotypic correlation with fruit weight, fruit length, peroxidase activity, polyphenol activity, fruit diameter, total phenolic content and plant height, whereas node at which the first flower appeared and YVMV were negatively correlated to fruit yield per plant. Correlation studies indicated YVMV resistance towards high total phenolic content, polyphenol oxidase, and peroxidase. The high positive direct effects on fruit yield per plant were observed for fruit weight followed by number of fruit per plant and total phenolic content. This study revealed that simultaneous selection of these traits can help in increasing yield and YVMV resistance.


2012 ◽  
Vol 25 (1) ◽  
pp. 17-23
Author(s):  
M. Z. Ullah ◽  
M. J. Hasan ◽  
A. Z. M. K. A. Chowdhury ◽  
A. I. Saki ◽  
A. H. M. A. Rahman

Twelve exotic cultivars of cucumber (Cucumis sativus) were grown to assess the presence of variability for desired traits and amount of variation for different parameters. Genetic parameters, correlations, partial correlation and regressions were estimated for all the traits. Analysis of variance revealed significant differences among entries for all the characters. The estimates of genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) were high for yield per plant, fruits per plant, fruit weight and fruit length. Broad sense heritability estimates for various traits ranged from 42.26 to 89.55%. Fruit yield per plant showed high significant positive correlation with fruits per plant, fruit weight, flesh thickness, fruit diameter and leaves per plant. Partial correlation was significant for fruits per plant and indicated these traits contributed over 70% to total fruit yield. By variability, correlation and regression analysis it was concluded that more fruits per plant and more fruit weight are major yield contributing factors in selecting high yielding cucumber cultivars.DOI: http://dx.doi.org/10.3329/bjpbg.v25i1.17008


2009 ◽  
pp. 57-66
Author(s):  
Q.U. Zaman ◽  
D.C. Percival ◽  
R.J. Gordon ◽  
A.W. Schumann

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