How do agricultural computer vision models maintain accuracy beyond the pilot stage? Erikk Cass, AVP, Mobility at iMerit, an EXL company, will address this at Agri AI Summit 2026.

Nov 9 | 9:40 AM | California

Register: www.agri-ai-summit.com/booking
#AgriculturalAI #ComputerVision

Open-field navigation models don't survive orchard headlands. Tight turns, tree obstacles, and weak GPS demand orchard-specific trajectory labeling across crop types and conditions.

Read the blog to learn more: imerit.ai/resources/bl...

#AgriculturalAI #AutonomousMobility

The Transformation of Agriculture: AI's Impact on Farming Equipment Revolution#United_States#Milwaukee#AEM#AgriculturalAI#FarmingTech

SegPPD-FS enables few-shot segmentation of plant pests and diseases with minimal annotations, plus a new public dataset with 101 categories for plant health monitoring. #PlantHealth #FewShotLearning #AgriculturalAI
Details: doi.org/10.1016/j.pl...

Tellia Raises €4.3M to Turn Spoken Field Work Into Structured Farm Intelligence

techlensmedia.com/news/tellia-...

#AgriTech #VoiceAI #FarmTech #AgriculturalAI #TechLensMedia

RiceSEG: The first large-scale multiclass rice segmentation dataset spanning 5 countries & 6,000+ genotypes. A vital resource for AI-driven crop phenotyping. 🌾
#RicePhenotyping #AgriculturalAI #OpenDataset
Details: doi.org/10.1016/j.pl...

Unlocking Agricultural Potential: Free Access to Agricultural AI Guide for Farmers#Japan#Funabashi#NouJouJin#AgriculturalAI#FarmingAI

Early-stage crop and weed detection is one of the biggest challenges in agricultural AI. See how iMerit improved detection accuracy with expert image annotation, human-in-the-loop validation, and quality-focused workflows.

imerit.ai/resources/ca...

#AgriculturalAI #ComputerVision