In this new paper, we explored the potential of 3D ray tracing for physically-based interpretation of aerial hyperspectral imagery to determine #Almond canopy #nitrogen content. https://t.co/33BqaQa0yU @ucanr @almondboard

Happy to share our lab's latest publication, "Nitrogen retrieval in grapevine (Vitis vinifera L.) canopy by hyperspectral imaging," in Computers and Electronics in Agriculture. https://t.co/NSBn2vECvd @ucanr @grapetweets

Proud moment for our lab! Congratulations to Momtanu Chakrabortty for receiving the Outstanding Graduate Student Award at the 16th International Conference on Precision Agriculture. Momtanu’s innovative work is setting new standards in remote sensing of specialty crops.

Congratulations to Dr. Hamid Jafarbiglu, our new PhD graduate.

Learn how we're using drone imaging to boost global food sustainability. https://t.co/DpxHTCGa2v

Check out our lab's latest feature in the April 24 issue of ASABE's Resource magazine introducing our new web app called When2Fly, a decision-support tool that helps farmers and drone operators determine the optimum time of flight based on location, date, and camera type @ucanr

Thrilled to see our lab members at the #SPIEDCS conference, showcasing their innovations in remote sensing that elevate research standards. Their brilliance makes us all @UCDavis & @UCANR incredibly proud!

Early detection of Broomrape weed is crucial in controlling its spread, minimizing crop damage, and preserving soil health . At the Digital Ag Lab, we are developing a remote sensing technique for the early detection of Broomrape infestations. @ucanr https://t.co/nyRQYVtXES

Swarm intelligence algorithm SSAFS optimizes plant disease detection by selecting key handcrafted features, enhancing classification accuracy in smart agriculture. #PlantDisease #DeepLearning Details: https://t.co/Loq6JzLYJl

A pleasant visit to the SunMaid raisin processing facility as part of the annual @HiresVineyard project meeting in Kingsburg, California

Our latest publication in collaboration with @UF_ABE is about a smartphone app automating #spidermite counting and integrating GPS for spot-on pesticide application. This app significantly ups the accuracy and speed over traditional methods. @ucdavisCAES @ucanr @PrecAgSWFREC

Remote sensing isn't often used for vineyard N mgmt due to variability in spectral patterns in canopy images. But #graperesearch by @UCD_DigitalAg found that applying the PROSPECT radiative transfer model to hyperspectral images gives accurate N in leaves.

Our lab's latest research is now published in Remote Sensing of Environment! Explore how we use hyperspectral sensing for nitrogen sensing in grapevines. Congratulations to Sirapoom Peanusaha et al. @grapetweets @alirezapourreza https://t.co/jMldOxPaiV @HiresVineyard @ucanr

The new Google Weed View tool developed by Dr. Mesgaran from @UCDavisPlants harnesses AI to tackle the invasive johnsongrass problem, cutting costs and time significantly. It identified 2,000+ johnsongrass cases across the Western U.S. https://t.co/ypIMKBfENn

@grapetweets talks about #remote sensing on #grape N detection on @ucdavisCAES #Grape Day before heading back to @FresnoUCCE . We complete four talks through Fresno-SLO-Davis-Fresno on #viticulture #extension road trip. Tomorrow back to @UCRiverside @philrols

This week, Mason Earles, assistant prof. in the Departments of Biological and Agricultural Engineering and Viticulture and Enology spoke to the benefits of AI in agriculture before the U.S. Senate Committee on Agriculture, Nutrition, and Forestry. 🌱 https://t.co/gjxOCFeNsI

Thrilled to join the 32nd annual meeting of the Club of Bologna. Exchanging ideas with leading experts and scholars in Agricultural mechanization is a fantastic opportunity to explore new horizons in digital agriculture. #ClubOfBologna #AgTech #DigitalFarming

So proud of my three former students, Very active at #ClubOfBologna!

.@UCD_DigitalAg created an app to help agricultural workers determine when to fly drones to collect the most efficient data. A special shout-out goes to postdoc Hamid Jafarbiglu, whose diligent research provided the foundation for the app! Learn more ➡️ https://t.co/TTCSqWs32d

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