The invention relates to a self-induced
livestock information acquisition system and a management method. By combining related technologies of
Internet of Things, using a sensor and a control
chip and taking a feed trough, a water trough or an inducing agent as an inducing mode, information of the identity,
step number, body temperature and weight of
pasture livestock is acquired in real time, after information of
pasture environment, geography, position and the like is combined, a result is uploaded to a
server database, and according to a
feeding mode algorithm embedded in automatic identification of different growth stages and different physiological stages of
livestock, data can be downloaded from the UI
client for viewing, and a
data processing result is downloaded. A deep
machine learning platform is established for testing a livestock
body weight curve, a motion health curve and a feed matching
algorithm and training related models, and livestock
pattern recognition algorithm training and
transplanting are achieved. In view of foreign management systems with high cost and different languages, the invention creates a new management method for the
pasture in China, and the method is low in cost, high in flexibility and especially suitable for management of small and medium-sized pastures.