SentiScan under DJI Agriculture
Date
October 2023 - December 2023
Location
IMPERIAL COLLEGE LONDON YEAR3
Work:
Construct an innovative B2B rental system where drones are offered to farmers at no charge through a subscription service funded by their local municipal governments.
Machine learning for data analysis, sharing with stakeholders to optimize pesticide use and pave the way for future data-driven agriculture.
A user-friendly app for less-educated farmers to access and interpret results. Additionally, establishing central hubs with agriculture experts to provide training, education, and build trust while increasing scientific awareness among farmers.
Currently, agricultural drones are primarily designed for pesticide spraying, but do all farmers embrace this technology? Is it possible that in the future, they could also offer users a more convenient way to detect crop diseases? -Business Report
Case Study
.png)
.png)
.png)
​​
"Farmers haven't seen them before; they do not know what it is like when the drones fly, or if the pesticides will actually hit the ground when sprayed, and what the effect will be if they do. Farmers are not very receptive of these drones"- Expert from Henan Agriculture Drone Team
​
Powdery Mildew​
​Delving into the first-hand experiences of those facing high-contagion crop diseases, pursuing innovative solutions that arise from user insights
Customer Profile
HMW Question​
​HMW use technology to support the healthy growth of crops, irrespective of farm size and communicate in a simple and understandable way?
.png)
User interface
For Farmers- Target User Group​
-
Visual
-
Icons-heavy UI
-
Easy to interpret
Home Page
Key data that farmers are interested in, such as temperature and humidity, are presented at the top of home page to help them better understand the planting situation. It offers an overview of the entire farm and allowing users to quickly grasp the information.
Field Management
More information presented in this page such as the crop distribution. The health monitoring section allows users to monitor the health status of specific areas. A predictive result is generated by visualising the deterioration trend of crops without intervention and showing economic loss, aiming to alert users to potential
Crop management
Users access in-depth data such as yield potential and growth periods, for a comprehensive understanding of crop situations. We also introduced images displaying common diseases and symptoms in the current stage. Through user interviews, we found that farmers rely on visual, tactile, and olfactory senses to assess plant status. Offering images enhances trust and communication, enabling farmers to verify our results through observation and comparison. This feature also aims to boost educational awareness and scientific understanding.
Database for Contagious Crop Diseases
Education in Details - to Farmers:
Complex data is presented in a visual format through the UI, while users also have the option to visit the centre for printed reports. Experts are available at the centre to explain the data, aiming to enhance farmers' scientific literacy and build trust
