| name | zhny-journal |
| description | Use when targeting 智慧农业（中英文） / Smart Agriculture or deciding whether a smart-agriculture manuscript fits this journal. Encodes the journal's fit, column routing, method-and-evidence bar, Chinese/English title-abstract framing, official-source re-check, and desk-reject heuristics for manuscripts on agricultural sensors, information systems, IoT/cloud/blockchain, intelligent equipment and control, agricultural remote sensing, agricultural big data, and applied agricultural AI. |
智慧农业（中英文） / Smart Agriculture (zhny-journal)
Journal positioning
《智慧农业（中英文）》 is an agricultural information-technology journal. Its defining fit is not "agriculture in general" and not "AI in general"; the paper must advance smart-agriculture technology or its application: information acquisition, sensing, agricultural information systems, IoT, cloud/blockchain infrastructure, intelligent equipment and control, agricultural remote sensing, agricultural big data, or applied agricultural AI.
Use this skill as a fit / column-routing / re-framing / pre-submission tool. It does not replace the journal's live author instructions. Before submission-ready advice, re-check the current official journal site and any active special-topic call.
When to trigger
- The user names 《智慧农业（中英文）》 / Smart Agriculture.
- The user wants to know whether a manuscript fits a Chinese smart-agriculture journal.
- The manuscript involves sensing, remote sensing, IoT, data processing, decision support, intelligent control, smart equipment, agricultural information systems, or applied AI in agriculture.
- The user needs column selection, title/abstract positioning, evidence-gap diagnosis, or submission-readiness checks.
Scope & column fit
Start by classifying the manuscript into one primary column. Do not list every possible column; name the best one and one fallback.
| Manuscript signature | Likely route |
|---|
| Sensor, phenotype acquisition, field/facility data collection, IoT sensing, calibration | 信息感知与获取 |
| Remote sensing, computer vision, image/spectral analysis, monitoring, identification | 信息感知与获取 or 信息处理与决策 |
| Prediction, diagnosis, recommendation, knowledge graph, data mining, decision support | 信息处理与决策 |
| Irrigation/fertilization/greenhouse/livestock/aquaculture/farm-operation control | 智能管理与控制 |
| Agricultural robots, intelligent machinery, UAV systems, integrated equipment | 智能装备与系统 |
| Broad survey, roadmap, cross-technology synthesis, field-wide trend analysis | 综合研究 |
Use references/article-types.md for detailed article-type gates.
Method & evidence bar
- The manuscript must have a real agricultural object or workflow, not just an algorithm tested on a loosely agricultural label.
- The technology contribution must be concrete: acquisition method, data pipeline, model, equipment, platform, control strategy, decision method, or integrated system.
- Methods must be reproducible: data source, sampling/acquisition conditions, model/configuration, experimental design, metrics, and validation protocol should be stated.
- Comparisons must match the claim: baseline algorithms, expert/manual workflow, reference instruments, existing systems, or field practice as appropriate.
- Agricultural interpretation must be explicit: explain what monitoring, diagnosis, prediction, decision, control, efficiency, resource use, safety, or production outcome is improved.
- Claims must match evidence scale: lab/greenhouse/single site/multi-site/seasonal/regional/system claims should not be inflated beyond validation.
Structure & house style
- Write in Chinese academic style, with aligned English title, abstract, keywords, figure captions, and table captions when required.
- The introduction should move from agricultural production/management problem to smart-agriculture technical gap, then to this paper's specific contribution.
- Methods should be more than algorithm names: include object, data, equipment/system, workflow, experimental setup, and evaluation.
- Results should carry quantitative evidence with uncertainty, comparison, and error analysis where possible.
- Discussion should explain practical boundary conditions and deployment implications, not only repeat metrics.
- Figures/tables should be functional: system architecture, workflow, data flow, experimental design, main performance comparison, and representative application results.
Official-submission checklist
Before giving final submission-ready advice:
- Read
references/source-basis.md and references/official-source-map.md.
- Open the current official journal site and author-instruction pages.
- Re-check current columns, templates, article types, abstract format, figure/table requirements, reference format, submission system, publication fees, ethics/disclosure policy, funding and author-contribution requirements, and any active special-topic call.
- If live official instructions conflict with this skill, the official instructions win.
Pre-submission self-check
Common desk-reject triggers
- Pure agronomy, biology, economics, or policy paper with no agricultural information-technology contribution.
- Generic algorithm/model paper where agriculture is only a dataset label.
- Prototype/platform description with no validation against a real task, baseline, or field/workflow evidence.
- Single-scene or small private dataset used to make broad claims without external validation or limitation language.
- Missing acquisition conditions, experimental design, metric definitions, or reproducibility details.
- Review article that only lists papers and lacks search method, taxonomy, comparative synthesis, and future agenda.
Re-routing decision
- Traditional crop field trial with no information technology contribution: route to crop/agronomy journals.
- Agricultural engineering hardware with strong machinery/mechanics but weak information/control component: route to agricultural engineering or machinery journals.
- Pure computer-science algorithm contribution with no agricultural workflow: route to computer science or AI application journals.
- Broad agricultural policy/economics without smart technology: route to agricultural economics/policy journals.
- Dataset-only paper with reusable public dataset as the main product: consider data journals or a resource/data article only if metadata, access, and validation are strong.
Output format
[Fit] High / Medium / Low / Not fit (one-line reason)
[Target column] <one primary column; optional fallback>
[Manuscript type] sensing / remote-sensing-vision / data-decision / management-control / equipment-system / review / resource
[Smart-agriculture contribution] <what technology or workflow advances>
[Agricultural evidence] <scenario, data, validation, comparison, and scale>
[Top risk] <single most likely reason for rejection>
[Required edits] <prioritized bullets>
[Official items to re-check] <live pages or policy items>
[Re-route suggestion] <if not a fit>
Supplementary references
references/source-basis.md — stable source facts and what not to freeze.references/official-source-map.md — official source anchors to re-check before submission.references/article-types.md — column/article-type routing and evidence expectations.
