A robotic platform that enables spraying drone operations by serving as a mobile launchpad equipped with a water tank, chemical reservoirs, a mixer and a generator—all controlled via a cell phone.
A robot and drone system that identifies pineapple blooms and reconstructs their positions to optimize harvesting operations and improve labor efficiency, helping local commercial farm Dole Plantation overcome workforce shortages and sustain production.
We present Johnny, a reforestation robot that uses the Amiga mobile base, a robotic manipulator and a drilling mechanism to plant seedlings to reforest vast expanses of land, particularly marginal pastureland.
A deer deterrence system which uses unmanned aerial vehicles (UAVs) to search for, detect, and deter deer from farms, preventing them from damaging farmers’ crops.
Our robot and drone automate soil salinity and moisture analysis by using drone-based gamma-ray spectral soil mapping to optimize in-field ground-based robotic soil sampling to reduce manual labor, increase soil mapping efficiency, and support precision agriculture for small to mid-sized coastal farms.
Our autonomous UAS tassel detection system improves farm efficiency by identifying hotspots of tassels in corn fields, allowing agricultural workers to target those areas for tassel removal, thus increasing the yield of hybrid corn seed farms.
ADVANCE (Autonomous Data Vehicle for Agricultural Navigation and Configurable Evaluation), is a modular drone system designed to autonomously survey farms, analyze plant and soil health, and identify problem areas to help small farmers maximize crop yield and productivity.
An autonomous robotic palletizer for small to medium-scale agricultural seed companies. The system will reduce physical labor requirements, increase packaging efficiency, and be a cheaper option for seed distributors and farmers that have facilities that are not equipped for large-scale industrial robotic solutions.
An autonomous robot designed to improve crop evaluation for artichoke farmers by addressing the problem of limited field inspection time.
Our autonomous soft robotic system for selective strawberry harvesting minimizes fruit damage, reduces labor reliance, and lowers costs, advancing the sustainability and efficiency of the strawberry industry.
NDSU’s Smart Weeder X1 team has built a smart site-specific mechanical weeder that reduces soil disturbance (less soil nutrient and moisture loss, and soil erosion), power, labor, and maintenance costs to remove weeds.
An AI-driven classifier and detection model with the Amiga robot to automate grape/stone fruit cluster detection and counting for precise yield estimation.
Our AI-driven robotic sprayer uses real-time weed detection and canopy area estimation to apply herbicide only where it's needed and adjusts its amount based on weed canopy area, reducing chemical use, labor, and environmental impact.
Our mobile application, human-following algorithm, and Amiga robot localization system improve overall farmer-robot interaction, making harvesting, planting, and weeding more efficient, while simultaneously reducing farming costs and enabling organic farmers to optimize both productivity and satisfaction.
Krishi-Bot automates in-field sampling of plant petioles along with soil and water sampling while capturing rich plant phenotypic and environmental data, enabling comprehensive big datasets for precision agriculture and AI-driven decision-making.
We developed an autonomous robot that uses vision for navigation and mechanical weeding arm designed to precisely identify and remove weeds in horseradish fields.
The Warwick Harvest project developed an autonomous robot with a custom multi-effector arm and advanced computer vision-to harvest, sort, and navigate spring onion fields, aiming to address critical UK agricultural labor shortages, high machinery costs, and environmental concerns like soil compaction.
The Weathersonde maps temperature profiles from challenging blocks and provides real-time inversion analytics via a smartphone app, enabling growers to adopt precise, safe, and resource-efficient frost mitigation strategies, reducing losses in high-value fruit and berry crops.