Our Client is a major player in the Agtech industry, headquartered in Switzerland. They are a well-diversified agriculture enterprise having interests in seeds, genetic research, agrochemicals, and other crop protection products. They are helping farmers around the globe to meet the challenges of the future: to grow more from less with affordable, simple, and turnkey solutions.
Our Client wanted a fast and reliable application to count corn seeds and to eliminate the manual and conventional way which is tedious and time-consuming.
Feathersoft assisted Our Client to overcome critical concerns, reducing time and effort, and maximizing output. A machine learning model was introduced using cutting-edge technologies to accurately detect individual corn seeds.
- A reliable and quick iOS application was developed to detect seed trait data from the image of the corn.
- With the help of deep learning techniques, we detected every single corn seed on one side of the corn and then calculated the whole seed count in that entire corn.
- A decisive platform was developed that could collect seed trait data at any location without any prior experience.
- Building the perfect dataset for training the models
- Training and checking different machine learning models for better, decisive results.
- Training the model by changing image resolutions to achieve accuracy.
Impact on business
- Superb convenience: An iOS device with a stable internet will do the challenging job of counting seed trait data which was otherwise a very cumbersome and manual activity.
- Massive productivity gain: what was a very time-consuming and tedious job, can now be done within seconds and without the help of any professionals.