Following the machines, people and ideas shaping agriculture. Selected developments, clear context and a link to the original source.
Robotics. Intelligence. Agriculture.
305 stories matching “Research”.
University of Sydney teams brought Digital Farmhand and SwagBot to the September 2023 Narrabri Field Day, giving students and industry visitors a close look at agricultural robot capabilities.
A Horizon Europe project coordinated by the Technical University of Munich is assessing how robotics, augmented reality and AI can improve working conditions across different farming systems.
A 2023 IEEE Access study described a mobile robot that follows planned greenhouse routes, gathers wireless sensor information and uses unsupervised learning to distinguish areas with different environmental conditions.
A University of Kentucky project supported by nearly US$1.2 million from NSF is developing a mobile greenhouse robot that combines active imaging, AI phenotyping and wireless charging for tomato monitoring.
Southern Cross University found that a woodchip bioreactor reduced several pesticides in effluent from intensive horticulture, while warning that more soluble compounds could still pass through the treatment system.
Wageningen’s 2026–2027 AGROS II project is developing crop sensing and control methods for autonomous greenhouses, comparing a digital-twin approach, trained AI and expert-led data-driven cultivation in cucumber crops.
An Australian research team fitted a pollination fan to a self-guiding greenhouse robot, demonstrating autonomous operation across more than 30 crop rows at P’Petual Holdings’ commercial production facility.
KAUST researchers combined a light-selective plastic cover with biodegradable mulch to reduce heat in miniature greenhouses, exploring a lower-energy approach to protected cultivation in Saudi Arabia’s arid conditions.
Purdue broke ground on a phenotyping greenhouse in September 2023, adding nearly 5,000 square feet of research space and linking living plants with existing systems for measuring crop health and stress.
RED Horticulture described a Wageningen trial examining dynamic LED lighting for cherry tomatoes, combining crop physiology, technical evaluation, plant biosignals and irrigation expertise in one cultivation experiment.
The University of Guelph’s GIGAS system uses deep learning to identify tomatoes and guide a specialised gripper, with longer greenhouse trials identified as the next step toward commercial viability.
A Wageningen–Viscon feasibility study combines plant imaging and machine learning to identify young plants suitable for greenhouse transplanting, including a camera arrangement that captures the sides and underside of root plugs.
