NutriCycle targets individual nutrient measurements in recirculating greenhouse water
A Danish–German project aims to help growers retain irrigation water longer by measuring the nutrients that bulk salt readings cannot distinguish.
Following the machines, people and ideas shaping agriculture. Selected developments, clear context and a link to the original source.
Robotics. Intelligence. Agriculture.
44 stories matching “Tea”.
A Danish–German project aims to help growers retain irrigation water longer by measuring the nutrients that bulk salt readings cannot distinguish.
University of León researchers publish annotated field images collected by a ground robot, providing a reusable resource for crop-detection development.
Promodis support gives INRAE’s experimental facility additional autonomous tractors for evaluating robotics in vegetable production and vineyards.
The RIC consortium reports more than 170 participants at its first field day, connecting diversified cropping systems with robotics research.
A low-cost monitoring module combines three-depth moisture measurements with weather variables to investigate broccoli growth in a small experimental plot.
Curtin researchers are testing an approach to track fungicide-resistance mutations in grain pathogens, with partners across Australia and Europe.
The November engineering conference will examine autonomous machines, sensors, interoperability and powertrains alongside practical machinery design.
Arkansas graduates won two competitions in Indianapolis, including a strawberry processing prototype combining vision, motion control and safety systems.
NbS4Tea introduced drone operations at Uganda’s Rwebitaba Tea Research Centre as part of a wider programme on resilient tea production and irrigation.
FAO’s Central and Western Region locust commissions launched a programme combining classroom, simulator and field instruction for national surveillance and response teams.
A Ghana–Belgium partnership is developing locally grounded maize-yield estimation while addressing the field-data mismatches that can undermine satellite models.
Embrapa-linked research follows cattle body measurements over time, exploring a less disruptive way to identify changes in growth rate.