Evidence map›Paper›PMID 41028849›Full record

ArticleScientific reports2025

Optimization of operational parameters for pneumatic planting of cotton seeds using a standard metering plate.

Jyotirmay Mahapatra, Prem Shanker Tiwari, Krishna Pratap Singh, Balaji Murhari Nandede, Ramesh K Sahni, Jagjeet Singh, Vikas Pagare

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jyotirmay MahapatraICAR-Central Institute of Agricultural Engineering, Nabi Bagh, Bhopal, Madhya Pradesh, 462038, India. jyotirmayfmpe@gmail.com.
Prem Shanker TiwariICAR-Central Institute of Agricultural Engineering, Nabi Bagh, Bhopal, Madhya Pradesh, 462038, India.
Krishna Pratap SinghICAR-Central Institute of Agricultural Engineering, Nabi Bagh, Bhopal, Madhya Pradesh, 462038, India.
Balaji Murhari NandedeICAR-Central Institute of Agricultural Engineering, Nabi Bagh, Bhopal, Madhya Pradesh, 462038, India.
Ramesh K SahniICAR-Central Institute of Agricultural Engineering, Nabi Bagh, Bhopal, Madhya Pradesh, 462038, India.
Jagjeet SinghICAR-Central Institute of Agricultural Engineering, Nabi Bagh, Bhopal, Madhya Pradesh, 462038, India.
Vikas PagareICAR-Central Institute of Agricultural Engineering, Nabi Bagh, Bhopal, Madhya Pradesh, 462038, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cotton, an economically significant crop, incurs high input costs for Bt cotton seeds. Commonly used varieties like RCH 2, Ajeet 155, Ankur 3028, and Suraj exhibit variations in seed size and mass, influencing the design of seed metering plates in pneumatic planters. Typically, each variety requires a specific metering plate optimized for orifice size, vacuum pressure, and operation speed, increasing costs, time loss, and labor dependency. This study aims to design a single seed metering plate accommodating all varieties, optimizing easily adjustable parameters such as vacuum pressure and operational speed. Employing a central composite rotatable design (CCRD), experiments varied orifice diameter (2.5-3.5 mm), vacuum pressure (2.5-5.5 kPa), and speed (2.5-5.5 km/h). Variety-specific optimal values were determined by initial optimisation using the response surface method (RSM). An average orifice diameter of 3 mm was then targeted by a second optimisation stage, which found the corresponding forward speed (4.16-4.22 km/h) and vacuum pressure (3.74-4.11 kPa) for each variant. Cost involved in purchase of different metering plates and timeliness cost associated with changing metering plates is saved and simultaneously precision seed sowing is achieved.

Indexed as

Cotton seedOptimizationPneumatic planterSeed metering

Identifiers

PMID41028849
PMCPMC12485214

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.