Farmtech 360- Revolutionizing Cattle Farming For Better Health and Productivity

Abstract

This web development project is dedicated to two critical aspects of cattle farming: Two of the diseases are; Lumpy skin disease and subclinical mastitis. Areas of cost observed include subclinical mastitis, a disease that has no apparent manifestation on the udder yet its impacts cover milk attributes ad yield. To overcome these challenges, the proposed solution consists of a machine learning model with a dataset containing lactation number, pH, conductivity, fat, and salt for precise identification of the likelihood of subclinical mastitis. The web application enables cattle owners to determine lumpy skin disease through the submitted cow images and deep learning algorithms and computer vision approaches. Through the application of disease identification, initial treatment is facilitated hence improving livestock organization and health. Among such features one can identify Vaccination Tracking, which enables the cattle owners to keep track of vaccination and general health control for each cow and do it on time. Also, Generalised Nutrition Recommendations enhance dietary feeding on individual cow basis, reducing illness incidences and improving production. The web application also helps in finding Veterinary services for cattle in the selected region. This project combining the advanced techniques and real agricultural demands offers the relevant information for farmers in terms of cattle care and farm management enabling them to improve the conditions and productivity of cattle businesses.