2023 Farm Robotics Challenge Teams

Representing a diverse range of colleges and universities across California and the nation, our Farm Robotics Challenge teams have come together to create innovative robotic solutions aimed at enhancing efficiency and sustainability on small to midsized farms. Each team in the Farm Robotics Challenge boasts a unique blend of backgrounds, with students specializing in engineering, computer science, agriculture, and environmental science. This multidisciplinary approach is crucial to driving innovation in the ag tech sector and tackling the complex challenges that farmers face daily.

The Maize Runners (BYU)

Team Maize Runners is designing, building, and then testing a measurement arm for the Amiga robot that passively deflects corn stalks, measures the force required, and records data for stiffness calculations while prioritizing operational safety.

TartanPest (Carnegie Mellon)

The Carnegie Mellon TartanPest Team is developing an autonomous robot to control the spread of Spotted Lanternflies, an invasive insect species, by navigating farms to find and remove their egg masses, providing potential economic and social benefits to small farmers and the broader food system.


Autonomous Pasture Weeding Robot (CalPoly)

Cal Poly’s Team focused on Autonomous Pasture Weeding is developing an autonomous weeding robot that navigates pastures, identifies weeds using computer vision, and removes them with an electric mower. The robot does this while addressing environmental challenges and incorporating safety features such as emergency stop buttons and protective cages.

Autonomous Lettuce Weeding Robot (CalPoly)

Cal Poly’s Team focused on Autonomous Lettuce Weeding is developing a weeding robot that autonomously navigates lettuce fields, identifies weeds using computer vision, and removes them with high-concentration fertilizer. The robot does this while addressing challenges like vegetation density and lettuce phenotype variation, and ensuring safety for human workers and avoiding damage to crops.

SARDOG (Fresno State)

This project proposes the development of smart agricultural robot called the SARDOG (Smart Agricultural Robot bullDOG) that can perform tasks like GPS-less navigation, precision spraying of pesticides, harvesting of fruits and vegetables, measuring soil conditions, detecting crop types, tracking crop growth, detecting humans, and conserving energy through solar power generation.

Team 307 (UCM)

UC Merced’sTeam 307 is developing a tracker that enables the Amiga robot to detect and follow specific individuals, assisting farmers in various tasks such as hoeing, watering, and carrying harvested goods, ultimately increasing farm maintenance efficiency and productivity.

Team 306 (UCM)

UC Merced’s Team 306 is developing an autonomous mobile platform to aid farmers by navigating through farmland, following GPS waypoints to perform tasks such as filling and harvesting vast fields, and carrying heavy loads over long distances.


Bobcats (UCM):

The UC Merced Bobcat Team is developing an automatic weed detection and removal robot for orchards. This robot will detect weed locations from camera streams and apply herbicides to the weeds using a low-cost mechanical system, with potential economic and social impacts for individual farms and the broader food system.

Children of the Corn (Purdue)

Team Children of the Corn is developing the Seed Spacer 6000, an attachment for the Amiga Robot, which autonomously detects and removes closely spaced corn plants during the V2-V4 growth stages, increasing crop yields and reducing time and labor costs for farmers.

Dig Doug (Purdue)

The Purdue Dig Doug Team is developing a robotic buried sensor deployment system as an add-on accessory for the Farm-ng Amiga autonomous farming robot, which will autonomously deploy soil-monitoring sensors across multi-acre farms, allowing farmers to identify and address subterranean concerns.

PruneScape (Purdue)

Purdue’s PruneScape Team is developing PruneScape, a robotic arm attachment for the AMIGA robot that prunes grapevines in small vineyards, benefiting small vineyard owners and ultimately decreasing the price of grapes and their resulting products for increased availability and accessibility.


NutrientMEP (Purdue)

Purdue’s NutrientMEP Team is creating a cost-effective, efficient, and reusable method of attaching IoT chaff sensors to row crop leaves for data transfer, with the goal of improving crop production and preventing food shortages by using a robot to store, position, and attach sensors to leaves.

Amiggie (UCD)

The UC Davis Amiggie Team is creating a human picker assistant robot designed to follow and assist human harvesters by carrying harvested crops, monitoring risky postures, and streamlining the unloading process.

Robo-ag (UCD)

UC Davis’s Team Robo-ag is developing  an autonomous robot for precise and targeted pesticide application on a 10-acre farm producing garbanzo beans, in order to reduce chemical waste, save on labor costs, and minimize the negative impact of pesticides on the environment and human health.


UC Riverside’s RAISE-R Team is utilizing the Amiga robot to perform sensor network maintenance, monitor orchard health, and gather data for crop monitoring through subsystems for waypoint navigation, crop monitoring, sensor pick & place, and sensor maintenance.


Team Klaatu (UCSB):

Team Klaatu is designing Gort, a robot capable of identifying, locating, and navigating sensors for data extraction and battery charging. This robot is utilizing computer vision, sensor communication, and power control while addressing challenges like accuracy and ensuring safety through motion sensing and eye-safe lasers for power delivery.

Huskersbot (UNL)

The University of Nebraska-Lincoln Huskersbot Team is developing a robot that can navigate between rows of crops, detect and differentiate between weeds and crops using machine learning, and perform spot-spraying of herbicides on the detected weeds, with the potential to reduce herbicide use and increase productivity.

Electrified Slugs (UCSC)

Team Electrified Slugs is developing autonomous navigation software for the Amiga electric tractor to efficiently weed plant lines on small organic farms. Their goal is to  reduce labor costs, improve the farm’s sustainability, and support local food systems.

Panther Project (Hartnell College)

The Hartnell College Panther Project Team seeks to autonomously traverse artichoke fields, capture and upload images, and improve farming practices and harvesting projections while reducing labor costs, emissions, and adverse environmental impacts.