Our client is a multinational agricultural company that supplies innovative drone technology for agriculture enabling farmers and agribusinesses to overcome the most significant challenges of everyday farming operations. One of these challenges is the time-consuming and costly collection, analysis, and transmission of field data on trial plots to get insights on the effectiveness of crop treatments.
Traditionally, agricultural workers have had to move from one field to another and manually collect data on plants, seeds, and crop varieties. Usually, farmers and growers have several big fields separated and mapped by trial plots for crops they’re trying to grow under certain conditions, in different soils, and using specific fertilizers. Each trial plot can be planted with different seeds and in locations far from each other. But manually collecting data from trial plots increases farmers’ expenses.
Farmers required a UAV crop monitoring solution to effortlessly monitor and analyze what approach works best for each plant. Our client had to move fast to develop a prototype, get user feedback, and implement a solution using drones for farming.
The client worked with our Digital Lab for agriculture R&D to consult with Intellias experts and develop a proof of concept that will be the foundation for their drone imagery product.
Our client decided to use drones and UAV mapping to collect field images of trial plots. Satellite images did not provide the required accuracy because cloud cover reduced their quality, making them useful only as an additional source of data.
The Intellias team started by developing a prototype of drone farming web application, outlining its business logic and gradually moving to user interface design and frontend development. The web app allows aerial data collection of trial plots to investigate crop conditions and homogeneity, getting around the issue of cloud obstruction with satellite observations. Users can easily add new trial descriptions including names, crops, products, and sowing dates as well as all plot details including width, length, and repetitions.
After collecting images from fields, drones transmit data via an internet connection or automatically store data and deliver it to farmers in the case of poor connectivity. Once data has been uploaded, the app can analyze drone imagery according to a wide range of parameters including crop variety, yield, type of pesticide or herbicide, etc.
The app conducts a thorough assessment based on trial data and matches drone photos with additional satellite images. Finally, the app saves the assessment in an appropriate format, overlays it on the field map as an additional layer, and uploads results to another application with a huge database to compare results and predict growth.
The drone imagery analysis app is just one of several R&D projects we run for our client. After a successful showcase of this drone farming app, our client is ready to start developing a fully working solution for farmers, and our Intellias team is ready to support them.
Automated collection of trial plot images using drones for farming is a key differentiator for our client and makes their solution lucrative for customers due to cost and time savings. Accelerated development of the prototype app thanks to Intellias R&D services has already given our client a competitive edge compared to other agricultural companies who rely only on in-house engineering capacity. The next step is to scale the drone imagery solution to provide full functionality and deliver it to farmers and growers worldwide.