SYSTEM FOR PREDICTING ANIMAL DISEASES

Abstract

ABSTRACT A system (100) for predicting animal diseases comprising an image capturing module (102) configured to capture plurality of images of an animal, at least one processor (104) coupled to the image capturing module (102), the at least one processor (104) is configured to normalise and clean the plurality of images to generate pre-processed image data, train convolutional neural network (CNN) protocols based on the pre-processed image data, determine potential diseases based on the pre-processed image data, wherein the plurality of images is classified via the CNN protocols to determine the potential diseases in the animal, and a user interface (106) coupled to the at least one processor, wherein the user interface is configured to display the potential disease. <>

Specification

Description:SYSTEM FOR PREDICTING ANIMAL DISEASES

[0001] This invention generally relates to animal diseases and in particular relates to a system for predicting animal diseases based on convolutional neural network protocols.
BACKGROUND

[0002] The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in and of themselves may also correspond to implementations of the claimed technology.
[0003] The livestock and agricultural industries are essential to food production and economic stability worldwide, yet they face significant challenges due to the prevalence of animal diseases. Animal illnesses can have a profound impact on both productivit , Claims:1. A system (100) for predicting animal diseases, the system (100) comprising:
an image capturing module (102) configured to capture plurality of images of an animal;
at least one processor (104) coupled to the image capturing module (102), wherein the at least one processor (104) is configured to:
normalise and clean the plurality of images to generate pre-processed image data;
train convolutional neural network (CNN) protocols based on the pre-processed image data;
determine potential diseases based on the pre-processed image data, wherein the plurality of images is classified via the CNN protocols to determine the potential diseases in the animal; and
a user interface (106) coupled to the at least one processor, wherein the user interface is configured to display the potential disease.

2. The carbon capture system (100) as claimed in claim 1, wherein the user interface includes a feedback feature, allowing a user to provide feedback, which is stored and used train the CNN protocols for improved predict

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