Innovations in Agriculture
Main contact
Timeline
-
September 13, 2021Experience start
-
September 15, 2021Project Scope Meeting
-
December 7, 2021Experience end
Timeline
-
September 13, 2021Experience start
-
September 15, 2021Project Scope Meeting
Meeting between students and company to confirm: project scope, communication styles, and important dates.
-
December 7, 2021Experience end
Experience scope
Categories
Data analysis Product or service launchSkills
machine learning data analysis business strategy product developmentThe project investigates IoT innovations in agriculture in both primary and value-added sectors of the industry. A multi-disciplinary approach is taken where innovations in all parts of agriculture are included in the project.
Students will bring critical thinking skills as applied to IoT innovations in agriculture. Technical skills in that regard will also be developed by studying and developing simple IoT innovations that could advance agricultural automation in both the primary production and value-added sectors of the industry. A proof-of-concept agricultural IoT product will be developed by students in working groups, based on a challenge/opportunity relevant to your organizational context.
Learners
The final project deliverables might include:
- A 10-15 minute presentation of key findings and recommendations.
- A detailed report including their research, analysis, insights, and recommendations.
Project timeline
-
September 13, 2021Experience start
-
September 15, 2021Project Scope Meeting
-
December 7, 2021Experience end
Timeline
-
September 13, 2021Experience start
-
September 15, 2021Project Scope Meeting
Meeting between students and company to confirm: project scope, communication styles, and important dates.
-
December 7, 2021Experience end
Project examples
Students in groups of 3-5 will work with your company to identify your needs and provide actionable recommendations, based on their in-depth research and analysis.
Project activities might include but are not limited to:
- Citing foundational literature regarding innovations in agriculture;
- Listing and describing current active areas of research regarding innovations in agriculture;
- Listing and describing companies active in developing innovations in agriculture;
- Developing a business model for monetizing an innovation in agriculture;
- Demonstrating a basic ability to apply Python coding for machine learning (ML), artificial intelligence (AI) and deep neural networks in agricultural innovation;
- Demonstrating a basic ability to apply ML and AI to analyze 2D images;
- Demonstrating a basic ability to program drones for agricultural applications;
- Developing and present a proof-of-concept idea for an agricultural innovation of the student’s choosing.
Additional company criteria
Companies must answer the following questions to submit a match request to this experience:
Main contact
Timeline
-
September 13, 2021Experience start
-
September 15, 2021Project Scope Meeting
-
December 7, 2021Experience end
Timeline
-
September 13, 2021Experience start
-
September 15, 2021Project Scope Meeting
Meeting between students and company to confirm: project scope, communication styles, and important dates.
-
December 7, 2021Experience end