CUI Lahore Repository

Farm to Table- A Novel Machine Learning Approach for Livestock and Dairy Fusion

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dc.contributor.author Asif, Ahsan
dc.contributor.author Jamil, Ali Raza
dc.contributor.author Salahuddin, Muhammad
dc.date.accessioned 2024-10-26T09:29:51Z
dc.date.available 2024-10-26T09:29:51Z
dc.date.issued 2024-10-28
dc.identifier.uri http://repository.cuilahore.edu.pk/xmlui/handle/123456789/4343
dc.description.abstract The project aim is to remove the gap between farmhouses and customers by connecting them through an innovative online platform. The proposed system has registered different farmhouse owners and customers by connecting them through the development of an innovative online platform. If one wants to sell animals and the other wants to buy, the platform is also providing innovative solutions to both. The buyers and vendors are connected to bridge the gap between them and provide services such as monthly milk subscriptions, desi ghee, and halal animal exchange, especially on Eid-ul-Adha. The buyers have been provided with a smart Convolutional Neural Network and a machine-learning model. One has trained to identify breeds of goats. A custom corpus of goat images from different animal markets are made and a CNN will be trained to achieve desirable results. The second Model has been trained on goat prices with their features like breed, color, and weight. The regression Model is used to achieve this. For the overall platform, MERN Stack is used to design interactive designs and functionalities. The project has not only simplified dairy-related issues is also be a feasible solution in promoting trading between dairy products, animal service providers, and Buyers. en_US
dc.language.iso en en_US
dc.relation.ispartofseries ;9256
dc.relation.ispartofseries ;FA20-BCS-036
dc.relation.ispartofseries ;FA20-BCS-045
dc.relation.ispartofseries ;FA20-BCS-094
dc.subject gap between farmhouses and customers en_US
dc.title Farm to Table- A Novel Machine Learning Approach for Livestock and Dairy Fusion en_US
dc.type Thesis en_US


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