The collabo atio combi es Pla et global satellite image y with Fa mQA’s ag o omic data to delive AI-d ive yield fo ecasti g; active pilot u de way ac oss multiple suga beet coope atives du i g the 2026 g owi g seaso
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FARGO, N.D., Nov. 03, 2026 (GLOBE NEWSWIRE) — Fa mQA today a ou ced a st ategic collabo atio with Pla et Labs PBC, a leadi g p ovide of daily data a d i sights about cha ge o Ea th, to develop a d comme cialize AI-powe ed ag o omic i tellige ce tools fo e te p ise ag icultu e. The fi st applicatio of the collabo atio is al eady i the field: a AI-d ive suga beet yield estimatio model, cu e tly bei g piloted with multiple suga beet coope atives du i g the 2026 g owi g seaso .
The collabo atio b i gs togethe two compleme ta y capabilities. Pla et delive s ea -daily, high- esolutio satellite image y ac oss millio s of ac es. Fa mQA co t ibutes what satellite data alo e ca ot p ovide: st uctu ed, huma -i -the-loop ag o omic field data, built ove yea s alo gside the c op adviso s, co sulta ts, coope atives, a d e te p ise ag o omy teams who use the platfo m eve y day. Togethe , the two compa ies a e c eati g a fou datio fo AI models that a e g ou ded i eal ag o omic co text, ot just image y.
Fo suga beet coope atives, the p actical implicatio s a e sig ifica t. Today, most p oductio fo ecasti g still elies o ma ual sampli g, field obse vatio s, a d sp eadsheet-based p ocesses that a e time-co sumi g, i co siste t, a d i complete. The Fa mQA-Pla et model gives coope ative ag o omists, ope atio s teams, a d comme cial pla e s a digital tool that ca evaluate eve y co t acted field a d ge e ate yield estimates th oughout the g owi g seaso , well befo e beets a ive at the facto y. That t a slates to bette ha vest pla i g, mo e co fide t i ve to y decisio s, a d imp oved coo di atio ac oss the coope ative’s e ti e ope atio .
“The t usted adviso is still at the ce te of eve ythi g we build,” said
Fa mQA has e gaged multiple suga beet coope atives as beta pa t e s fo the 2026 g owi g seaso . These pa t e s a e validati g the model i eal field co ditio s ac oss dive se g owi g egio s, p ovidi g feedback o usability, a d helpi g shape a tool that is p actical fo coope ative teams ma agi g la ge umbe s of co t acted ac es.
“This collabo atio highlights the powe of wo ki g togethe to delive t ue actio able i tellige ce. By i teg ati g Pla et’s satellite image y with the g ou d t uth data Fa mQA sou ces f om thei suga beet g owe s, we’ e b idgi g the gap betwee high-level a alytics a d field-level eality,” comme ted
Fa mQA a d Pla et a e explo i g ways to collabo ate ac oss additio al c ops, geog aphies, a d use cases. The suga beet yield model is the latest step i a o goi g collabo atio , a d the fi st stop o a b oade oadmap. Fa mQA is also seeki g collabo atio s with ag etaile s, i put supplie s, le de s, p ocesso s, a d othe o ga izatio s i the ag icultu e who a e looki g to build decisio tools o top of t usted, field-ve ified ag o omic data. Lea mo e about usi g Pla et image y withi QA Adviso .
“Fa mQA’s visio is a futu e whe e eve y ac e has a t usted adviso who stewa ds it well,” Poulso said. “What we’ e buildi g with Pla et is just o e example of how we a e collabo ati g ac oss the ag icultu e supply chai . We aim to give eve y adviso a d eve y e te p ise team the i tellige ce they eed to do thei job bette , at a scale that was ’t possible befo e.”
Fa mQA builds digital ag o omy tech ology that co ects ag icultu al p ofessio als, g owe s, a d field data. Its p oducts i clude QA Adviso , a digital ag o omy platfo m fo ag o omists, c op co sulta ts, ag etaile s, a d ag icultu al e te p ises, a d QA Fa me , a mobile app fo g owe s. Th ough co ected tools fo c op scouti g, soil sampli g, image y, pla i g, ecomme datio s, p esc iptio s, applicatio t acki g, epo ti g, a d g owe collabo atio , Fa mQA helps adviso s a d g owe s ma age thei wo k a d tu field i fo matio i to actio able i sights. Buildi g o yea s of custome -ge e ated ag o omic data, Fa mQA is developi g capabilities to help adviso s a d g owe s put thei i fo matio to wo k with a tificial i tellige ce ac oss mo e tha 50 millio ac es a ually–meet Fa mQA.com.
Ta a Kessle , Di ecto of Ma keti g at Fa mQAta a.kessle @fa mqa.com+1 (701) 941-2046
A photo accompa yi g this a ou ceme t is available at https://www.globe ewswi e.com/NewsRoom/Attachme tNg/b608351f-c7cf-4696-a5c2-968dc3362679
