Win up to $12,000 in prizes!
All projects (28)
The Risk Assessing Drone (R.A.D) utilizes multiple detection methods to map a field for UXO and prioritize objects for mitigation
Salt seawater is penetrating severely into inland rice paddies in Vietnam. SWT monitors and helps regulating salt level in water.
Autonomous drone based classification of ammonia emissions from fertilizers
Autonomous and inexpensive rover that is capable to collect environment data and that enables digital farming also for low wage countries
Crops Yield and Optimization ML with UAVs surveillance and monitoring
Building a drone with an advanced visual system that recognizes crop growth, livestock, and trespassers.
We will use a quadcopter/drone as a reusable vehicle for weather balloon radiosonde equipment while taking meteorological data.
Drones are tools. Tools don't solve all complex issues, but biodiversity losses impact fishing and food production. Creativity is the answer
Management and protection of cows based on crop quality estimation.
Drone swarm technology for sustainable farming
Harmlessly scare away predators that would otherwise eat or harm plants and animals on a property.
CMSD autonomously collects, interprets and analyses valuable data from crops/environment and presents it in a useful way to farmers.
With climate change and water scarcity we will monitor farms Temperature, humidity, CO2 emissions
We plan to develop an Autonomous rover, equipped with the Bosch sensor, that provide air quality maps in storage units
Using UAV to collect color and depth image data from a vertical farming setup, and using that to localize and estimate mass of plants.
A sensor network system for data collection, farm planning, field mapping and yield.
Using a drone with the capability to find and harvest ripe fruits from the air is the goal for my project. The first step is to make a drone
Smart Drone Dispatch System to Sample Hazardous Chemical from a Facility.
A drone receives a n agricultural mission and leads a rover to the site for ground performance
Maximize profits & improve soil health with S.C.R.S. Smart Crop Rotation System. AI & ML optimize sustainable crop rotation cycles on demand
This project uses an NXP Hovergaimes drone to capture crop imagery, assess crop health, and do targeted soil analysis.
This drone is intended to fly over a field of crops and detect weeds for later removal.
The building and modding of a drone to analyze soil samples and assess arability, and to distribute fertilizer to areas that require it.
An autonomous rover that can survey a field, map and measure soil quality indicators like pH, humidity, nitrogen content, etc...