Optimization of Operational Parameters on Harvesting Efficiency of Lathyrus Harvester Using Response Surface Methodology

Lathyrus crop [Lathyrus sativus (L.)] or grass pea is the third most important cool-season pulse crop of India, occupying an area of 0.58 million ha with an annual production of 0.43 million tonnes. The productivity is fluctuates between 369 to 605kg/ha. Traditionally, farmers harvest lathyrus by either hand-pulling or using a sickle, methods that are labor-intensive, time-consuming, and cause significant discomfort to farmers. Till date, the traditional method (manually hand plucking/sickle) is the prevailing practice in Chhattisgarh. Due to rising labor costs, labor scarcity during peak seasons, and unpredictable weather, manual harvesting has become uneconomical. There is an urgent need of introducing modern practices for harvesting of the crop. Traditional testing and statistical analysis methods used in most existing studies are limited by complex test processes, their time-consuming nature, high costs, and poor prediction accuracy. To address these problems Response surface methodology (RSM) was used for optimizing the performance parameters. Effects of various parameters viz. reel speed, cutter bar speed and height of cut which is considered as the heart of harvesting machine was evaluated to get optimum harvesting efficiency of developed tractor operated lathyrus harvester. The optimum harvesting efficiency of 90% was found at 30 mm height of cut, 250 rpm cutter bar speed and 12.5 rpm respectively.

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Publication Details

Journal
Journal of Scientific Research and Reports
Published
2024-08-16
DOI
https://doi.org/10.9734/jsrr/2024/v30i82302
Citations
1
Primary Topic
Wheat and Barley Genetics and Pathology
Type
article
Field-Weighted Citation Impact
0.60
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article

Optimization of Operational Parameters on Harvesting Efficiency of Lathyrus Harvester Using Response Surface Methodology

Shubham Pandey, RK Naik, Harshaj Singh Tuteja
1 citations
Journal of Scientific Research and Reports
Wheat and Barley Genetics and Pathology
0.60
article

Optimization of Operational Parameters on Harvesting Efficiency of Lathyrus Harvester Using Response Surface Methodology

Shubham Pandey, RK Naik, Harshaj Singh Tuteja
article en
1 citations

Abstract

Lathyrus crop [Lathyrus sativus (L.)] or grass pea is the third most important cool-season pulse crop of India, occupying an area of 0.58 million ha with an annual production of 0.43 million tonnes. The productivity is fluctuates between 369 to 605kg/ha. Traditionally, farmers harvest lathyrus by either hand-pulling or using a sickle, methods that are labor-intensive, time-consuming, and cause significant discomfort to farmers. Till date, the traditional method (manually hand plucking/sickle) is the prevailing practice in Chhattisgarh. Due to rising labor costs, labor scarcity during peak seasons, and unpredictable weather, manual harvesting has become uneconomical. There is an urgent need of introducing modern practices for harvesting of the crop. Traditional testing and statistical analysis methods used in most existing studies are limited by complex test processes, their time-consuming nature, high costs, and poor prediction accuracy. To address these problems Response surface methodology (RSM) was used for optimizing the performance parameters. Effects of various parameters viz. reel speed, cutter bar speed and height of cut which is considered as the heart of harvesting machine was evaluated to get optimum harvesting efficiency of developed tractor operated lathyrus harvester. The optimum harvesting efficiency of 90% was found at 30 mm height of cut, 250 rpm cutter bar speed and 12.5 rpm respectively.

Journal of Scientific Research and ReportsVol. 30(8)
Indira Gandhi Agricultural University (IN)
Decent work and economic growth
Openalex Percentile: Top 22%
Wheat and Barley Genetics and Pathology
0.60
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Optimization of Operational Parameters on Harvesting Efficiency of Lathyrus Harvester Using Response Surface Methodology — Shubham Pandey, RK Naik, et al. · Journal of Scientific Research and Reports (2024) | TGRS Research Map | TGRS