Agriculture Submission Guide: MDPI Process (2026)

Agriculture is not a stronger version of a subscription farming journal, and it is not a weaker one. It is a different model, and it is unusually broad. MDPI built it around speed and soundness-based review: the editorial question is whether the work is methodologically sound and within scope, not whether it ranks among the most novel findings of the year. What sets Agriculture apart from its siblings is breadth.

It is the only one of MDPI's core farming titles that carries dedicated sections for farm animal production and for agricultural technology and machinery, alongside crop production, agricultural systems and management, and agricultural economics and rural management.

Two consequences matter most. First, because the journal is section-based and very wide, scope fit is decided as a routing question, not a quality question. The pre-check editor has to assign your manuscript to a specific section, and an ambiguous or mis-aimed scope angle stalls that routing.

A livestock-nutrition study, a tractor-implement field test, a farm-economics survey, and a precision-irrigation trial all have a home here, but each has to read clearly as belonging to its section. Second, the pre-check is fast and partly template-driven, so completeness is rewarded and incompleteness is punished early.

A technically excellent manuscript with a missing animal-ethics statement can be returned before a reviewer ever sees it, while a competent, complete, clearly-sectioned study moves quickly.

The unusual upside: Agriculture's breadth means it is the natural home for cross-disciplinary farm work that narrower titles bounce. A study that combines a machine, a crop response, and a farm-economics outcome can struggle to find a single-discipline journal that will take all three. Agriculture's Agricultural Systems and Management and Digital Agriculture sections exist precisely for that integrated farm-level work, provided the design is sound and the claims are honestly scoped.

The core fit for most submissions is the original research article. It works best when the agricultural outcome is central, the design is replicated and reproducible from the text, and the data and declarations package is complete on first upload.

Ask these questions before you submit:

• is there an actual agricultural-production or technology outcome (yield, animal performance, machine performance, resource-use efficiency, a farm-system or economic response), or is the farm just the setting in which a biology or pure-theory question was answered?
• is the work replicated, with a statistical model that matches the design, and does it span more than a single site, season, or herd where the design allows?
• are the data, ethics where relevant, and reporting statements complete and specific, or are they still stub text?
• does the discussion offer a mechanism or a transferable recommendation, or does it stop at "the number went up here"?

If the answers are uncertain, the pre-check problem is usually more important than the science problem.

The pre-check editor is answering a short list of questions fast, and at Agriculture the first one is unusually load-bearing because the scope is so wide.

On scope and routing, the editor asks not just whether the manuscript belongs in a farming journal but which of Agriculture's sections it belongs to. If the farming relevance is thin or the manuscript straddles two sections without a clear center, it is redirected to a sibling title or returned.

On soundness, the question is whether the design is appropriately replicated, the statistics match the layout, and the field, pen, or machine-test conditions are reported in enough detail to reproduce. Agriculture does not require the finding to be field-defining, but it does require the work to be done correctly and reported in full.

On integrity, the editor checks whether ethics approvals where relevant, data availability, and image-integrity expectations are all in order. MDPI runs integrity and plagiarism checks at pre-check, and gaps here trigger fast returns. Animal-welfare and ethics statements draw particular attention in the Farm Animal Production section, where a missing approval number is a fast return. On completeness, the editor looks for the declarations block. A manuscript missing Author Contributions, Funding, Data Availability, or Conflicts of Interest reads as not ready, even when the science is fine.

Manuscript structure: Agriculture expects a defined section set: Abstract, Keywords, Introduction, Materials and Methods, Results, Discussion, Conclusions, plus the declarations block. The abstract follows an IMRAD structure and runs to about 200 words, and it is the first thing the pre-check editor reads, so the agricultural outcome, the design, and the main result all need to be visible there, along with a clear signal of which section the work belongs to. Provide 3 to 10 keywords, and choose keywords that reinforce the section rather than blur it.

Reporting and methods readiness: Provide full experimental detail so the work can be reproduced.

For field and pot trials, that means site description, soil type, climate or growing conditions, plot layout, replication, treatments, the exact statistical model, and the software used. For livestock work, it means animal numbers, breed, housing, diet composition, the welfare-approval reference, and the analysis model.

For machinery and technology work, it means the test rig, operating conditions, instrumentation, calibration, and the validation design. A study whose Materials and Methods omits the design, the replication, or the analysis model is the most common reviewer-stage friction point. Where a systematic review or meta-analysis is the article type, supply a PRISMA flow diagram and a stated or registered protocol.

Declarations and ethics: Draft the Author Contributions (by initials), Funding, Data Availability, and Conflicts of Interest statements before you upload. Add an Institutional Review Board statement for human-subjects survey or on-farm participatory work, and an animal-ethics or welfare-approval statement for any livestock study. These are not post-acceptance paperwork at MDPI; they are pre-check gates, and in the Farm Animal Production section they are the gate most often left incomplete.

Figures, supplementary, and abstract assets: In Agriculture submissions, the supplementary package usually carries the load that a single in-text figure cannot, and the assets that matter are field- and farm-specific.

For crop and cropping-system trials, that means the trial map showing plot layout and block design, per-site weather and soil-characterization tables, and the full ANOVA or mixed-model output behind every reported mean. For livestock work, it means the pen or herd-level layout, diet-formulation tables, and animal-level data behind group means. For machinery and technology studies, it means the field-test rig schematic, calibration and operating-condition logs, and raw measurement series.

A graphical abstract is optional, but when used it should render the management or performance contrast (treatment versus control, or machine versus baseline, across the tested conditions) rather than a generic crop or farm photo. MDPI's current instructions cap the total uploaded file package at 120 MB, so multi-environment or multi-herd datasets should usually be split into one supplementary file per season, site, or animal group.

Keeping more than eight in-text figures is usually a sign the farm-level story needs tightening, not that the data are richer.

In our pre-submission review work with Agriculture manuscripts, three named rejection patterns generate the most consistent pre-check returns and reviewer friction, and each is testable against your own manuscript before you upload.

The three, in the order we see them most often: single-site single-season trials framed as general recommendations (clean data, conclusions that outrun what one farm-year can support); descriptive farming studies with no mechanism, model, or transferable insight (numbers reported, but never explained or made portable); and scope drift into pure plant biology or pure economics (the real subject belongs in Plants or an economics journal, with a thin farming label bolted on).

These are not abstract risks. They are the specific failure patterns we see surface again and again when broad farming and agricultural-engineering work meets a fast, soundness-based MDPI screen.

Across our agricultural pre-submission reviews, the editorial triage pattern that surprises authors most is that the Agriculture pre-check is not a novelty filter in the Nature sense. It is a fit-and-rigor filter, and at Agriculture the fit half is heavier than at any of its siblings because the scope is so wide.

The manuscripts that get returned fastest are rarely bad science. They are competent studies whose section angle, design rigor, or data and reporting compliance is not ready for a fast, template-driven screen, and we observe that editors here routinely reject those packages before a reviewer is even invited.

Manuscripts coming through pre-submission review for Agriculture split cleanly along these three lines, and the section below describes what actually happens to each at the desk.

Single-site single-season trials framed as general recommendations

The most common rigor failure we see is a one-location, one-season field, pen, or machine trial whose abstract and conclusions read like a regional or general recommendation.

The data may be clean and the analysis correct, but the conclusions outrun what one site-year can support. A single field, a single soil type, a single herd, or a single climate cannot ground a claim that a practice, ration, or implement "increases yield" or "should be adopted" broadly.

Reviewers across Agriculture's production sections are trained to flag exactly this gap between the scope of the evidence and the scope of the claim. The testable version: read your conclusions and ask whether each recommendation is bounded to the site, season, soil, herd, or machine you actually tested.

If your discussion generalizes a single-environment result, temper the claims to match the design, or add the multi-environment, multi-season, or multi-herd data the recommendation needs. A replicated single-site study is publishable here; a single-site study sold as a universal rule is not.

Check whether your Agriculture claims match the scope of your trial design ->

Descriptive farming studies with no mechanism, no model, or no transferable insight

The second pattern is a study that reports what happened without explaining why or supplying enough method to trust it. Common versions span the journal's breadth: a crop trial with no statistical model named, a livestock study with no mechanism for the difference, a farm survey with no management explanation, or a machinery test with no validation design or comparison baseline.

In agriculture, where the value of a paper hangs on whether another grower, farmer, or engineer can apply the finding, this is the highest-leverage fix before submission.

The testable version: walk your Materials and Methods and confirm the design, replication, and statistical or validation model are all stated explicitly. Then walk your discussion and confirm each main result is tied to either a mechanism or a transferable management or engineering insight. If your discussion restates the results without explaining them, reviewers will ask for the mechanism the manuscript should already supply.

Check whether your Agriculture methods and discussion carry a transferable insight ->

Scope drift into pure plant biology or pure economics

The third pattern is a manuscript whose real subject is plant molecular biology, plant physiology, or pure economic theory, with a crop name, a farm setting, or a token yield measurement added so the work can target an agriculture journal.

Agriculture is the broadest MDPI farming title, but breadth is not anything-goes. The pre-check editor still has to assign the manuscript to a production, technology, systems, or economics section. A gene-expression result with no agricultural outcome, or an econometrics paper with no agricultural decision attached, has no section to land in.

When the actual contribution is fundamental plant biology, the paper is redirected to a sibling such as Plants. When it is pure economic modelling with no farm-management implication, it is redirected or returned.

The testable version: read your abstract and introduction, and ask whether a section editor could name the agricultural-production, technology, or management outcome from the first paragraph alone. If the agricultural angle appears only as a downstream application, rebuild the introduction and abstract around the farming question rather than around the mechanism or model.

Check whether your Agriculture scope angle reads as agriculture from the abstract ->

Each of these is something you can check against your own draft before you commit the submission. This guide tells you what Agriculture editors look for; the review tells you whether YOUR paper passes the pre-check before you upload.

Across our Manusights pre-submission review work, we have reviewed 70 manuscripts and more targeting agriculture, crop-science, animal-science, and agricultural-engineering journals, including Agriculture and its open-access and subscription peers. These three patterns account for most of the broad-farming pre-check returns we see.

Paid Manusights reviews include a 60-day money-back guarantee, and we do not train models on submitted manuscripts. Run an Agriculture submission package check to see whether your section framing, design rigor, and data statement will clear the MDPI pre-check.

Agriculture reports a median first decision near 18.8 days and median acceptance-to-publication near 1.9 days, with SciRev contributors reporting a first review round near 3.6 weeks. Treat these as planning ranges, not promises: livestock, machinery, and specialized-systems manuscripts often run longer because reviewer search takes time when the design or the subfield is unusual.

• Day 0: Submission via SuSy. The portal accepts the package and routes it to the section editor for pre-check.

• Days 1 to 3: Editorial pre-check. The editor screens section fit, design soundness, integrity and plagiarism checks, and data and ethics completeness. The fastest returns happen here, before any reviewer is invited, and a mis-aimed section angle is the most common Agriculture-specific reason for a return at this stage.

• **Days 3 to 7:

Reviewer invitation.** Manuscripts that pass pre-check enter single-blind reviewer search, typically targeting two or more reviewers in the relevant section, which for broad cross-section work can take longer.

• Days 7 to 19: Peer review and first decision. Reviewer reports return and the editor issues the first decision, with a median near 18.8 days from submission.

Major revision is the most common outcome for papers that clear pre-check.

• Days 19 to 35: Revision and acceptance. Revisions are usually requested on a short clock; resubmission and a second review cycle commonly land acceptance inside a few weeks for in-scope, complete packages.

• Days 35 to 40: Production and publication. Acceptance to publication runs near 1.9 days at median, so the slow part of the calendar is reviewer search and revision, not production.

This guide was researched and built from primary sources: the sources we checked include the Agriculture Instructions for Authors, the journal's aims-and-scope, sections, and editorial-process pages, MDPI's research and publication ethics policy, the Clarivate JCR 2024 release, the SciRev review-experience record for the journal, and Manusights pre-submission review patterns from agriculture, crop-science, animal-science, and agricultural-engineering manuscripts deciding between Agriculture and peer titles.

We reviewed and compared current MDPI author guidance with recent Manusights work reviews from authors weighing Agriculture, Agronomy, Computers and Electronics in Agriculture, Agricultural Systems, and Field Crops Research. Last reviewed by the Manusights agricultural editorial team on 2026-06-06.

Source limitations: MDPI can update the APC, article-format details, abstract caps, section structure, and editorial-process numbers after this review date, so verify final administrative details against the official Agriculture author pages before upload. The 2024 citation metric reported by Clarivate and MDPI is 3.6; secondary aggregators list other figures, so confirm the current number on the journal's own page. Median timelines are reported by the journal and vary by section.

Use this guide for the decision the official instructions cannot answer: whether your section framing, design rigor, and data statement are ready for the MDPI pre-check.

• Agriculture journal hub: metrics, scope, and editorial process
• Agronomy MDPI submission guide
• Plants MDPI submission guide
• Best agriculture journals
• Rejected from Field Crops Research, where next?
• Computers and Electronics in Agriculture journal metrics

Before you upload, run your manuscript through an Agriculture submission readiness check to catch the section, design, and data-statement gaps the MDPI pre-check filters for. The check is free to run (/ai-review) and takes a single upload.