Plant Disease Detection

Inspiration

Plant disease detection is an essential and impactful application of data science and machine learning in the field of agriculture and environmental conservation. The motivation behind this project comes from various factors: Crop Health Monitoring: Detecting plant diseases early can help monitor the health of crops and prevent widespread infections, leading to higher yields and improved food security.

What it does

Plant disease detection is a computer vision application that uses machine learning or deep learning models to identify and classify diseases in plants based on images. The main objective of plant disease detection is to help farmers and agricultural experts monitor and diagnose plant health more effectively, thereby enabling early intervention and preventive measures to minimize crop losses.

How we built it

Challenges we ran into

Accomplishments that we're proud of

What we learned

What's next for Plant Disease Detection

Built With

• css3
• deep
• flask
• html5
• learning
• ml
• python
• pytorch
• streamlit