Modern AI application to Agriculture

Artificial intelligence (AI) and computer vision have made significant contributions to the agricultural industry in areas including plant health detection, monitoring, planting, weeding, harvesting, and sophisticated weather analysis. Numerous use cases of smart farming have an impact on the entire food supply chain by offering insightful data on the entire agricultural process, easing operational decision-making in real-time, and improving farming methods by introducing smart sensors and equipment to the field.

Pixta AI empowers Agriculture evolution

Pixta AI’s technology combines automated proactive learning and data processing capabilities with your highly qualified personnel in the loop for data validation in order to live up to these expectations. In other words, even in extremely variable and diverse agricultural situations, you may utilize your models to automatically annotate and process data straight from the production environment before editing in detail to increase accuracy by professional annotators. This process maximizes your model accuracy and saves you a lot of time and resources.