Evidence map›Paper›PMID 41671283›Full record

ReviewScience progress

From compaction to coexistence: A review of chassis engineering for intelligent agricultural machinery in complex paddy field ecosystems.

Zhong Tang, Peichen Chu, Zhao Ding, Meng Fang

Abstract readReview
In one paragraph

Review in Science progress. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Zhong TangSchool of Agricultural Engineering, Jiangsu University, Zhenjiang, China.ORCID 0000-0002-2724-115X
Peichen ChuSchool of Agricultural Engineering, Jiangsu University, Zhenjiang, China.ORCID 0009-0004-6266-8361
Zhao DingKey Laboratory of Crop Harvesting Equipment Technology of Zhejiang Province, Jinhua University of Vocational Technology, Jinhua, China.ORCID 0000-0001-9753-9413
Meng FangSchool of Agricultural Engineering, Jiangsu University, Zhenjiang, China.ORCID 0009-0008-5472-983X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The complex paddy field environments of Southern China characterized by fragmented plots and heavy, moist, and soft soils pose a severe challenge to the adaptability of agricultural machinery, representing a key bottleneck to enhancing the quality and efficiency of regional rice production. This study systematically reviews the current state of agricultural machinery in these paddy fields, with a focus on comparing the performance of wheeled and tracked chassis during key operations like tillage, transplanting, and harvesting. A significant performance trade-off is identified: tracked machinery exhibits superior trafficability and stability on soft, wet surfaces, whereas wheeled equipment offers advantages in maneuverability and cost-effectiveness. However, current equipment faces three core challenges: functional specialization, potential for crop root damage during operation, and a decoupling of machinery and agronomy. Prospectively, the development of intelligent paddy field equipment should focus on three key directions: the platformization and universalization of chassis design, minimizing disturbance to the crop's entire life cycle, and deepening the systemic integration of machinery and agronomy. Such advancements will promote the coordinated development of agricultural equipment and the paddy field ecosystem, ensuring the sustainability of regional food production.

Indexed as

chassis modularityintelligent agricultural machinerymechanical-agronomic integrationPaddy fieldstracked agricultural machinerywheeled agricultural machinery

Identifiers

PMID41671283
PMCPMC12901939

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.