Image processing with cameras and AI enables applications that were previously unthinkable. In agriculture, for example, it supports the optimal application of fertilizers, the visual monitoring of products and growth phases, and the processing of harvested crops.
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.
Lowering of energy costs, acceleration of growth and extension of the possible storekeeping duration can be optimised by the precise measurement of humidity, CO2-content and temperature. Optimum basic conditions for animals and plants ensure best agricultural products. As different applications demand various adopted solutions for optimization of agricultural processes, E+E Elektronik provides a broad portfolio of agricultural monitoring products