Using Artificial Intelligence to Recognize Wheat Stripe Rust Disease
Open Access
- Author:
- Singh, Vinay
- Area of Honors:
- Biology
- Degree:
- Bachelor of Science
- Document Type:
- Thesis
- Thesis Supervisors:
- David Hughes, Thesis Supervisor
Timothy J Jegla, Thesis Honors Advisor - Keywords:
- Artificial intelligence
Wheat stripe rust disease
Machine learning
Food insecurity
Climate change
Plant diseases
PlantVillage - Abstract:
- Artificial intelligence has great potential in agriculture. It can be used to fight food insecurity, climate change, and plant diseases. This is becoming increasingly important due to the increasing world population. AI allows the workload to be placed on technology instead of people. Though it is designed by humans, AI can become better, more advanced, and more efficient. Already, AI is more precise, available, and faster at recognizing plant diseases than trained professionals. This allows the disease to be eradicated by solutions that the same AI can generate before the disease spreads and destroys entire fields. Artificial intelligence algorithms can be created through machine learning, and humans can train the algorithms to automatically recognize the plant disease known as wheat stripe rust. These recognitions can be used to take the proper steps in preparation to keep wheat crops protected. Furthermore, the wheat artificial intelligence model can be integrated into apps, such as Nuru, which are already helping farmers identify and combat disease. Through further research, the potential of artificial agriculture is boundless because the same process can be applied to recognize other diseases and applied around the world.