James Brinkhoff retweeted
"Growers are sick of people ringing them up saying, 'I've got a drone, I've got AI.'" So why did one ag tech platform achieve 95% grower adoption?
In this episode of #UnearthedPodcast, Professor @jamesbrinkhoff (@UniNewEngland), @MarkGroat3 (#SunRice) and Professor Andrew Robson (@AndrewR23497213, @une_aarsc) unpack the answer.
🎧 Listen now: ow.ly/7xyc50ZJ3pQ
James Brinkhoff retweeted
James Brinkhoff will tackle Real-Time Rice Monitoring System for Field-Level Productivity Optimisation in #AGSA26 – at Maianbar, New South Wales
James Brinkhoff retweeted
Sentinel-2 + weather data = reliable yield & biomass forecasts. Harvest Index? Needs more. Great to see this out! 🙏🌾
Thanks to @jamesbrinkhoff, @AndrewR23497213, @BrianDunn1287 for their guidance.
@UniNewEngland @une_aarsc @AgriFuturesAU @NSW_AgWater @ricegrowers
🌾🌾 Can satellite data predict #rice #yield, aboveground #biomass, and harvest index before #harvest? We tested 5 ML models across 256 fields and 4 seasons. Not all targets are equally predictable. Find out 👇
🔗 brnw.ch/21x36K5
@jhakumarsunil @une_aarsc @UniNewEngland
The real-time rice project final report is published! 70 pages of agronomy -> remote sensing models -> grower and industry tools.
Big thanks to all in the great Aus rice industry who contributed.
@AgriFuturesAU @une_aarsc @NSW_AgWater @RiceExtension @GrowerService @ricegrowers
There was missing Sentinel-2 imagery on 30 March. It was due to a 'decontamination' procedure designed to clean the sensors. See the missing orange stripes in the acquisitions, corresponding to missing Sentinel-2B data. @RiceExtension
Finally we got a clear Sentinel-2 image covering all #Riverina #Rice fields!
All dashboards have updated grain moisture predictions to help with drainage and harvest decisions.
@RiceExtension @ricegrowers
AI competing with ag for water.
ricetoday.irri.org/will-ai-d…
Hoping for clear skies around 11-12 when the Sentinel-2 satellite goes over, to get a clear image for updated rice grain moisture predictions @RiceExtension
Can't believe it. @CopernicusEU Sentinel-2 had an outage just as we were about to get a clear image. Such a challenge this season. #riverina #rice growers can check latest imagery coming in here: jamesbrinkhoff.users.earthen…
Something up with #Sentinel2 acquisitions? I'm not seeing any new imagery coming in my AOI today @sentinelonline_
There's an issue with ground station acquisition: sentinels.copernicus.eu/web/…
Hope this is resolved soon
Another huge effort from the @RiceExtension team pulling together another annual benchmarking report, full of insight into what makes the difference in rice yield and quality. Appreciate opportunity to contribute analyses, dashboards from our @AgriFuturesAU real-time rice project
The CY25 Annual Summary has arrived!
A culmination of all the data, projects, insights and activities across the entire season, it's designed to be a valuable resource for anyone in the rice industry.
Check it out⬇️ static1.squarespace.com/stat…
CY26 #AustralianRice temperatures are down after a warm start, leading to later PI predictions. GDD is now similar to CY22, not as cold as CY23. Accumulated solar radiation is also down with a fair bit of cloud.
@ricegrowers @RiceExtension
Figures from new PI predictor app
New paper in @IEEE_GRSS JSTARS: "Empirical Correction of Sentinel-2 Time Series Data
to Enhance Real-Time Rice Crop Monitoring".
We developed ML models to correct fluctuations in satellite time-series to improve real-time crop monitoring. Rice dashboards pre and post correction:
The fluctuations were due to variations in solar and sensor angles, atmosphere and S-2A vs S-2B sensor bias on RS time-series. Harmonized Landsat Sentinel-2 (HLS) and top of atmosphere (TOA) both had these fluctuations, and both benefited from our new correction methods.
Thanks to co-authors @HouborgRasmus and @AndyVisionAU.
Project support from @AgriFuturesAU, for "Real-time remote sensing-based monitoring for the rice industry".
We appreciate our great collaborators, @RiceExtension, @NSW_AgWater, @une_aarsc, @UniNewEngland
The new PI predictor app for Aus rice - tips and tricks.
Updates include:
• Added flowering date
• Includes underlying weather info
• Simulation of phenology in previous years - see effect of hot/cold seasons on timing
Available on @RiceExtension site.


























