CropSafe

Inspiration

Однажды агрономы рассказали мне, что сельскохозяйственные культуры болеют и ежегодно погибает минимум 20% урожая.

What it does

We predict disease of agricultural crops by means of the analysis of temperature and humidity

How I built it

All the year 2017, I rode through villages and farms collecting data on crop diseases.After collecting data for 30 years, a mathematical model was developed to predict disease, depending on the weather conditions.

Challenges I ran into

Accomplishments that I'm proud of

What I learned

Thanks to this project, I started working with machine learning and the Internet of things

What's next for CropSafe

In 2018, we will begin approbation at Russian enterprises, predicting diseases of potatoes and rapeseed.

Built With

• azure
• azure-iot-suite
• javascript
• microsoft-ml
• ml
• node.js
• php
• python