The rise of AI (Artificial Intelligence) technology is paving the way for the application of technology in the agriculture industry also. This has already been labelled as Agritech.
We design and implement issues using a real case study, providing an overview of annotation mechanisms and identifying requirements for annotating agricultural data. The goal of the annotation service is to semantically annotate different kinds of geospatial data, such as satellite images, maps etc.
Our annotations include
- Detecting unwanted
- Farming robots
- Crop labelling and crop modelling
- Machine Learning for smarter seed selection
Experience the futurist technology combination and see how it impacts the agriculture industry on a global scale.
Marketing, Retail, IT, Staffing, Consulting, and other industry specializations.
Data Entry, Sales & Marketing, AI & Machine learning and other outsourcing service teams.