--- title: Co-ordinated Experiments description: "Co-ordinated experiments for on-farm research and generating insights and knowledge. \n\nData Farming ARC On-farm trials tool. ADAS Agronomics." image: https://thearc.farm/hubfs/4%20Es-1.png --- [Skip to content](https://thearc.farm/experiment#main-content) [![Main Logo Colour](https://thearc.farm/hs-fs/hubfs/Logos/Main%20Logo%20Colour.png?width=2000&height=778&name=Main%20Logo%20Colour.png)Homepage](https://www.thearc.farm?hsLang=en) - [Research Model](https://thearc.farm/research-model?hsLang=en) - [Explain](https://thearc.farm/explain?hsLang=en) - [Evidence](https://thearc.farm/evidence?hsLang=en) - [Experiment](https://thearc.farm/experiment) - [Exchange](https://thearc.farm/exchange?hsLang=en) - [Projects](https://thearc.farm/projects?hsLang=en) - [ADOPT](https://thearc.farm/adopt?hsLang=en) - [Network](https://thearc.farm/network?hsLang=en) - [ARC Innovators](https://thearc.farm/innovators?hsLang=en) - [News & Updates](https://thearc.farm/newsandupdates?hsLang=en) [Connect](https://thearc.farm/contact-us?hsLang=en) - [Research Model](https://thearc.farm/research-model?hsLang=en) - [Explain](https://thearc.farm/explain?hsLang=en) - [Evidence](https://thearc.farm/evidence?hsLang=en) - [Experiment](https://thearc.farm/experiment) - [Exchange](https://thearc.farm/exchange?hsLang=en) - [Projects](https://thearc.farm/projects?hsLang=en) - [ADOPT](https://thearc.farm/adopt?hsLang=en) - [Network](https://thearc.farm/network?hsLang=en) - [ARC Innovators](https://thearc.farm/innovators?hsLang=en) - [News & Updates](https://thearc.farm/newsandupdates?hsLang=en) [Connect](https://thearc.farm/contact-us?hsLang=en) # Co-ordinated Experiments ![4E Experiment](https://thearc.farm/hs-fs/hubfs/4E%20Experiment.png?width=557&height=401&name=4E%20Experiment.png) ## Robust on-farm experiments The most powerful route to knowing whether a product or practice works on a given farm is to test it side by side against standard practice. Care is needed as underlying spatial variation in fields is large, so comparisons need to be fair. Replication is powerful, both of comparisons within a field, but also across farms.   With [Data Farming](http://www.datafarming.com/) we've developed  the[ ARC on-farm trials tool](https://arc.datafarming.com/) to make it easy to set-up in-field comparisons, using satellite imagery to see past spatial variations and monitor treatment differences in real time to a line.  Yield mapping on the combine gives the opportunity for statistical analysis of thousands of datapoints - [ADAS Agronomics](https://adas.co.uk/services/agronomics/) quantifies confidence in a treatment comparison. We connect with multiple organisations, software and services around the world that support robust on-farm experiments.  ### Siting & designing trials The ARC connects with extensive farmer networks, including [BOFIN](http://www.bofin.org) and [Innovative Farmers](https://www.innovativefarmers.org/). A range of resources, experts and tools can help achieve optimal placement and design of farm trials, assessing underlying spatial variation and balancing treatments, practicality and replication.  [**The ARC Farm Trials Tool**](https://arc.datafarming.com) makes it easy to place, record, monitor and share your farm on trials.  Partners across the globe allow us to test products and technologies anywhere, including [Intent Farm Trials Network](http://www.intent.ag), Laconik, DIFM & Farmtest. ### Monitoring trials The ARC Farm Trials Tool uses satellite imagery to monitor trials with minimal effort. For finer detail and guaranteed acquisition, UAV imagery and services like Hiphen or AerialPlot can provide high-resolution crop metrics at key stages. In-season measurements can add real value — especially when taken using simple, paired comparisons. Our experts can help design practical protocols and advise on the use of crop and soil sensors.  We also work with a network of partners to support local measurements and are exploring digital tools — like QuickTrials and a new BOFIN app — to make data collection and sharing easier for all.   ### Analyse for confidence Well-designed trials allow for statistical analysis to assess whether observed effects are real or due to underlying variation. Where replication is possible, standard ANOVA methods can be applied. Tools like [ADAS Agronomics](https://adas.co.uk/services/agronomics/) use high-resolution yield data to increase precision even with minimal replication. We collaborate with global leaders in on-farm trial analysis — including groups at Guelph, Cornell, Nebraska, Ohio State, CSIRO, and the Iowa Soybean Association — to develop and use both practical and advanced approaches. By combining data across trials series, we can increase statistical power and generate insights with precision equal to or greater than traditional plot trials ([Roques et al 2022)](https://www.sciencedirect.com/science/article/abs/pii/S0378429022002222) ![ARC secondary](https://thearc.farm/hs-fs/hubfs/ARC%20secondary.png?width=5638&height=1904&name=ARC%20secondary.png) ![ADAS](https://thearc.farm/hs-fs/hubfs/ADAS.png?width=204&height=192&name=ADAS.png) ![Agronomics-1](https://thearc.farm/hubfs/Agronomics-1.jfif) ![ARC Ag Sci logo](https://thearc.farm/hs-fs/hubfs/ARC%20Ag%20Sci%20logo.png?width=350&height=156&name=ARC%20Ag%20Sci%20logo.png) ![Data Farming4](https://thearc.farm/hs-fs/hubfs/Data%20Farming4.png?width=216&height=82&name=Data%20Farming4.png) ![farmerdatalab](https://thearc.farm/hs-fs/hubfs/farmerdatalab.png?width=292&height=84&name=farmerdatalab.png) ![GOFEN](https://thearc.farm/hs-fs/hubfs/GOFEN.png?width=696&height=358&name=GOFEN.png) ![BOFIN 1](https://thearc.farm/hs-fs/hubfs/BOFIN%201.webp?width=1080&height=1080&name=BOFIN%201.webp) ![ARC farm trials demo](https://thearc.farm/hs-fs/hubfs/ARC%20farm%20trials%20demo.png?width=598&height=625&name=ARC%20farm%20trials%20demo.png) ## ARC Farm Trials tool Our free on-farm trials tool is now available for use by anyone - just register with Data Farming at [https://arc.datafarming.com](https://arc.datafarming.com)  - Quickly and easily create a project and select any field anywhere - draw boundary or upload shp file - Instantly access 7 years of past satellite NDVI imagery to assess the spatial variation in your field - Easily draft trial plots by splitting field or drawing polygons - Add treatments, colour code and assign to plots. - Label and edit your plots - Monitor your trial with near real time satellite imagery - Easily share your project and trial with collaborators We can help you add past and current trials to the platform - just email [daniel@arcagsci.com](mailto:daniel@arcagsci.com)  Your data is secure on the platform, no one in ARC can see it unless you explicitly share your trial or project personally.  [Use the ARC Farm Trials Tool](https://arc.datafarming.com) ![Agronomics summary pic\_0](https://thearc.farm/hs-fs/hubfs/Agronomics%20summary%20pic_0.jpg?width=756&height=756&name=Agronomics%20summary%20pic_0.jpg) ## Agronomics statistical analyses ADAS has developed a bespoke approach to robustly analysing yield map data from Line Trials.  The software was developed in house and statistics developed by geostatisticians at the British Geological Survey. ADAS supports around 200 Line trials each year. [Explore more](https://farmpep.net/agronomics) ![Lacoste 2022 OFE paper in Nature Food](https://thearc.farm/hubfs/OFE%20Nature%20image.jfif) ## OFE Community A global movement has developed around On-Farm Experimentation described by [Lacoste et al (2022) in Nature Food.](https://www.nature.com/articles/s43016-021-00424-4)  The Global On-Farm Experimentation Network ([GOFEN](http://www.gofen.org)) has organised two international conferences with proceedings available from [OFE2021](https://ofe2021.com/index.html) and [OFE2023](https://www.farmpep.net/group/2144).  Resources are available from [Farmers DataLab](https://www.farmersdatalab.org/resources) and on [FarmPEP here](https://www.farmpep.net/group/17) Participatory Research approaches include the Tricot system where farmers compare three varieties (or products or practices) and data is collated and analysed to find what works best in local conditions. CGIAR supports the [1000Farms](https://1000farms.net/) initiative with [ClimMob](https://climmob.net/blog/) software and has so far worked with over 12000 farmers mostly in Africa.  The African Plant Nutrition Institute ([APNI](https://www.apni.net/)) is a big supporter of OFE approaches in Africa [Explore more](https://gofen.org) ## How can ARC help? ### We encompass the world's leading experts in on-farm experimentation The heading and subheading tells us what you're offering, and the form heading closes the deal. Over here you can explain why your offer is so great it's worth filling out a form for. ##### 1. **Designing Effective On-Farm Trials** *We assist in creating simple, yet scientifically sound experimental designs that account for field variability, ensuring that comparisons between practices or products yield meaningful results.* ##### 2. **Utilizing Technology for Monitoring** *By employing tools like satellite imagery and precision agriculture technologies, we enable real-time monitoring of experiments, allowing for timely adjustments and accurate data collection.* ##### 3. **Analyzing and Interpreting Results** *Our team supports the analysis of experimental data, helping to interpret findings in the context of your specific farming system, and translating results into practical recommendations.* ## Contact Us #### If you'd like help with on-farm research get in touch now at [info@thearc.farm](mailto:info@thearc.farm)   [![Main Logo Colour](https://thearc.farm/hs-fs/hubfs/Logos/Main%20Logo%20Colour.png?width=2000&height=778&name=Main%20Logo%20Colour.png "Main Logo Colour")](https://www.thearc.farm?hsLang=en) [Terms and Conditions](https://thearc.farm/hubfs/ARC%20Terms%20and%20Conditions.pdf?hsLang=en)[Privacy Policy](https://thearc.farm/hubfs/ARC%20Privacy%20Policy.pdf?hsLang=en) © 2026 ARC Agronomic Sciences. 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