Implementing artificial intelligence as a part of precision dairy farming for enabling sustainable dairy farming

The purpose of this paper is to consider implementation of Artificial Intelligence as a part of Precision Dairy Farming, as a way of processing, analyzing and managing Big data, in order to enable sustainable dairy cattle farm. Increasing the volume of livestock production in the future and measuring the level of environmental impact becomes one of the most pressing concerns. The aim is to evaluate the impact of animal's production level on the ammonium pollution from dairy cattle farm using precision dairy farming technologies. The results indicate significant variability in estimated ammonium pollution from dairy cattle farms due to the animal's production indicating positive correlation between daily milk production and ammonium pollution. The test day records, as Artificial Intelligence application in precision dairy farming could be used both for assessing the ammonium pollution from farms and timely prevention and correction of inadequate management towards sustainable dairy production systems.

Accurate heat detection and health monitoring of cattle by SCR sense neck collar

Heat detection in dairy cattle is most important step in successful running of Dairy farms. But due to failure of heat detection at right time the dairy farms running under loss. To overcome this problem the Dodla Dairy at Pulivendula, Kadapa district introduced Heat Detection and Health monitoring SCR cSense Flex Neck Tag which aids in precision dairy farming by accurate detection of heat and monitoring animal activity status. After introduction of this new technology there were a lot of changes noticed and achieved the targeted results in terms of reproduction, health, nutrition, cow comfort and labor.