Precision farming is an innovative approach to agriculture that utilizes technology to optimize crop production and minimize waste. It involves the use of advanced tools such as GPS, sensors, drones, and machine learning algorithms to collect and analyze data on soil conditions, weather patterns, and crop growth in real-time. This information is then used to make informed decisions about planting, fertilization, irrigation, and pest management, resulting in increased yields, reduced costs, and improved sustainability. By using precision farming techniques, farmers can reduce their environmental impact while increasing profitability and ensuring food security for future generations.
Areas:
In this project the minimum investment is: 3000 €
Supervisor:
Sofia Chang
Team Members:
- Matthew Collins
- Emily Sullivan
- Emma Davis
- Samuel Wright
- Benjamin Thompson