Digitized and automated processes are becoming increasingly important in modern agricultural enterprises. Machine vision methods play a key role here. Among other things, they can be used for a variety of precision farming applications.
The increased utilization of precision agriculture has resulted in more data breaches. Precision agriculture is a management system that relies on measuring and quantifying vast amounts of data to improve yields and decrease inputs.
Justin Gong, Co-founder and Vice President of XAG, kicked off the conference by carefully elaborating the Smart Agriculture POV Report 2020. This report for the first time clarifies the definitions regarding digital agriculture, precision agriculture and smart agriculture.
Artificial intelligence can be used, for example, to classify fruit varieties or to identify damaged parts (e.g. apples with marks or colour deviations). To cover all possible variances with classical image processing would be very time-consuming and costly. AI is able to solve these challenges in no time at all. With IDS NXT ocean, there is now a user-friendly complete solution for industrial applications available. It requires neither special knowledge in deep learning nor camera programming.