€6.5m in. Kilter says its AX-1 targets weeds at ~6mm and can cut herbicide use “up to 95%” by treating only where weeds exist. Kubota just made a strategic bet on that shift: selectivity moves from chemistry → software. https://agtech.industryexaminer.com/kubota-kilter-single-drop-precision-weeding-robot/ #AgTech #FarmRobotics #PrecisionAg #CropProtection #TechNews
Kubota’s €6.5m wager on a single drop: why vegetable weeding is becoming a software problem - Agtech Industry Examiner

On Feb. 18, 2026, Norwegian agtech startup Kilter disclosed a €6.5 million strategic investment from Kubota as it gears up […]

AgTech Industry Examiner
Saving water can be cheaper than building it. One analysis found ag conservation at ~$69.89/acre-foot vs >$2,000 for new supply—so funders now want telemetry-backed proof, not just pipes. https://agtech.industryexaminer.com/pipes-to-proof-irrigation-funding-telemetry-efficiency/
#AgTech #WaterManagement #Irrigation #PrecisionAg #DroughtResilience #technews
From pipes to proof: why irrigation grants now demand hard data - Agtech Industry Examiner

In southern Idaho, an irrigation district installed four flow meters and discovered something awkward: a big gap between the water […]

AgTech Industry Examiner
#Irrigation’s next upgrade may be chemistry—not hardware. Loveland’s AQUA FORCE targets the root zone: IRF’s 2024 irrigated corn work showed ~+9 bu/acre on average. The bigger story is verification—yield per inch, pump hours, moisture curves
https://agtech.industryexaminer.com/aqua-force-water-use-efficiency-irrigation-adjuvant/
#AgTech #Irrigation #WaterManagement #PrecisionAg #Agronomy #Corn #DroughtResilience #FarmInputs #TechNews

Per-plant AI spraying is here. We unpack the economics, rival approaches, and the compliance moat (decision logging under EU AI rules).
🔗 https://agtech.industryexaminer.com/the-end-of-broadcast-spraying-ecorobotix-plant-by-plant-ai/

#Agtech #PrecisionAg #RegTech #TechNews

Centimetre Instead of Acres: Ecorobotix’s $150m Push to Rethink Crop Care - Agtech Industry Examiner

A Swiss start-up’s funding coup hints at the next competitive front in farm inputs: centimetre‑scale application, compliance-ready data logs and […]

AgTech Industry Examiner

John Deere Machine Sync & Unloading On-The-Go | John Deere commercial

#JohnDeere #MachineSync #UnloadingOnTheGo #PrecisionAg #FarmEquipment

#JohnDeere #abancommercials #commercial Video John Deere Machine Sync & Unloading On-The-Go | John Deere commercial, actor, actress, girl, cast, song

https://abancommercials.com/john-deere/machine-sync-unloading-on-the-go-john-deere-commercial/272364/

john deere machine sync unloading on-the-go | john deere ad 2025

✓ VIDEO John Deere Machine Sync & Unloading On-The-Go | John Deere TV commercial 2025 • Machine Sync & Unloading On-The-Go | John Deere Machine Sync is a harvesti...

AbanCommercials

ICOS drives modern agricultural with advanced AI based analytics in the cloud, forecasting yields and optimizing planting. 📊🤖☁️ #ICOS #AI #PrecisionAg

➡️ https://www.icos-project.eu/blog/agriculture-blog

The ICOS ecosystem in smart agriculture

In modern agriculture, the seamless flow of data from edge devices to cloud-based platforms is fundamental to maximizing the efficiency and effectiveness of robotic and technological interventions. Distributed processing, data transfer, connectivity, and security are integral components of this data-driven approach. At the edge of the agricultural system, sensors, drones, and robotic devices collect vast amounts of data on soil health, crop conditions, weather patterns, and more. These edge devices often operate in remote areas with limited connectivity, necessitating onboard processing capabilities to analyze data in real-time and make immediate decisions. Edge computing minimizes latency and bandwidth requirements by processing data locally, enabling rapid response to changing conditions without relying on constant communication with centralized servers. However local processes are limited by device computational power.

Wahrnehmungen der #präzisionslandwirtschaft in #Deutschland und der #Schweiz.

Die Stakeholder sind sich über eine höhere Effizienz durch Präzision einig. Unstimmigkeiten gibt es bei der Einschätzung der gesellschaftlichen Wahrnehmung und #Transparenz sowie Nutzbarkeit der Technologien und zum #Vertrauen im Innovationsystem.

https://agrarpolitik-blog.com/2023/02/24/wahrnehmungen-der-prazisionslandwirtschaft-in-deutschland-und-der-schweiz/

#precisionag #Landwirtschaft #Digitalisierung #digitalization #agriculture #stakeholder #innovation @agriculture @ChadMBaum @robertfinger

Wahrnehmungen der Präzisionslandwirtschaft in Deutschland und der Schweiz

Agrarpolitik-Blog

The Role of Variable Rate Technology in Fertilizer Usage

LaVona Traywick and I discuss aspects of #variablerate #agtech in this open access article
#precisionag #farmdata #digitalag #agriculture #farmers
https://docs.lib.purdue.edu/jafe/vol3/iss2/6/

The Role of Variable Rate Technology in Fertilizer Usage

Precision technologies such as variable rate fertilizer applications have been touted as solving production agricultural issues, increasing yields, and improving environmental stewardship. Variable rate technologies have been widely available on farms especially via custom service providers; however, utilization rates of these technologies remain relatively low. Low adoption rates indicate barriers to adoption and an opportunity for market expansion. The degree to which such technologies may reduce the demand for fertilizers will depend on VRT adoption rates.

Purdue e-Pubs

Our paper addresses the questions regarding how long does it take to adopt #digitalag technologies.

Duration analyses of #precisionag technology adoption: what's influencing farmers' time-to-adoption decisions?

#agtech #agriculture #farmers #duration
https://www.emerald.com/insight/content/doi/10.1108/AFR-11-2019-0121/full/html

Duration analyses of precision agriculture technology adoption: what's influencing farmers' time-to-adoption decisions? | Emerald Insight

Duration analyses of precision agriculture technology adoption: what's influencing farmers' time-to-adoption decisions? - Author: Eric Ofori, Terry Griffin, Elizabeth Yeager