Understand the topic
What this means in daily life
Agricultural research should help answer a decision farmers or service teams actually face. The proposals connect local questions, fair comparisons, practical costs and shared learning without treating a demonstration as proof.
A research result may depend on the season, plot, equipment or support available during a trial. Explaining those conditions helps farmers judge whether a promising approach fits their own constraints and what still needs to be learned.
Data reference table
Evidence Snapshot
Read each value with its reporting period, population and limitations. A historical national reference is not a local baseline or proof that an IFT proposal works.
5 measurement records still need data and a review of their relevance.
| Signal | Reference Value | Period / Population | How to Read It | Source Status |
|---|---|---|---|---|
| Validated field performance | Not established Data required — not zero | Reporting period: Information Required Population and geography: Information Required | Proposed measure; no observed value is established here. Limitations: Define the measure, unit, reporting period and covered population; obtain a traceable dataset and review its suitability for this topic before using a number. | Source organisation: Information Required Direct source URL: not yet verified Source publication date: not established Verification status: Data required |
| Farmer adoption and retention | Not established Data required — not zero | Reporting period: Information Required Population and geography: Information Required | Proposed measure; no observed value is established here. Limitations: Define the measure, unit, reporting period and covered population; obtain a traceable dataset and review its suitability for this topic before using a number. | Source organisation: Information Required Direct source URL: not yet verified Source publication date: not established Verification status: Data required |
| Cost and payback | Not established Data required — not zero | Reporting period: Information Required Population and geography: Information Required | Proposed measure; no observed value is established here. Limitations: Define the measure, unit, reporting period and covered population; obtain a traceable dataset and review its suitability for this topic before using a number. | Source organisation: Information Required Direct source URL: not yet verified Source publication date: not established Verification status: Data required |
| Independent replication | Not established Data required — not zero | Reporting period: Information Required Population and geography: Information Required | Proposed measure; no observed value is established here. Limitations: Define the measure, unit, reporting period and covered population; obtain a traceable dataset and review its suitability for this topic before using a number. | Source organisation: Information Required Direct source URL: not yet verified Source publication date: not established Verification status: Data required |
| Failure/negative-result publication | Not established Data required — not zero | Reporting period: Information Required Population and geography: Information Required | Proposed measure; no observed value is established here. Limitations: Define the measure, unit, reporting period and covered population; obtain a traceable dataset and review its suitability for this topic before using a number. | Source organisation: Information Required Direct source URL: not yet verified Source publication date: not established Verification status: Data required |
Different surveys, administrative records, estimates and reporting years are not interchangeable. No combined IFT score is calculated from these rows.
Evidence coverage and review log (CSV) · Structured evidence register (JSON)
10 ideas for this topic
What could be done — and what needs testing
These are proposals for research and local testing. They are not claims that a project has been funded, implemented or proved successful.
Farmer research-question clinic
Invite farmers to describe recurring decisions and losses before researchers select a trial question.
What to check: Ask whether the research question changes a real decision
Independent option comparison
Compare a proposed practice with relevant alternatives, including the current practice, under a documented research plan.
What to check: Use a documented fair comparison and suitable alternatives
Local trial partnership
Agree roles, consent, data use, costs and crop-loss responsibilities with willing farmers and qualified research teams.
What to check: Check consent costs and crop-loss responsibilities
Multi-season observation
Follow performance under more than one season or condition before making broad claims about a practice.
What to check: Record performance across relevant seasons and conditions
Farmer-defined outcome measures
Include net return, workload, risk and usability alongside the agronomic measures chosen by specialists.
What to check: Include return workload risk and usability
Input conflict disclosure
Record who supplies trial inputs, funds the research or may benefit from a favourable result.
What to check: Disclose supplier funding and commercial interests
Failed-trial learning register
Publish what did not work and where, with enough context for others to avoid repeating the same mistake.
What to check: Retain failed and inconclusive results
Plain-language findings
Explain methods, limits, costs and who the evidence applies to in the languages used by participating farmers.
What to check: Test whether farmers understand scope and limits
Extension feedback loop
Give frontline advisers a way to report when research advice fails under everyday field conditions.
What to check: Track field feedback through research revisions
Adoption-without-pressure review
Ask why farmers adopt, change or reject a practice, respecting their choice rather than counting refusal as ignorance.
What to check: Respect refusal and distinguish adoption from proven benefit