top of page

Balaji

AI CHATBOT - ASSISTED PARTHENIUM WEED DETECTION IN IMAGES USING XGBOOST ALGORITHM

Balaji.P.M, a final year student pursuing B.Sc. Computer Technology at Sri Krishna Adithya College of Arts and Science, has made a pivotal contribution to our group project by developing a sophisticated model using XGBoost algorithm. His expertise in leveraging satellite image processing has been instrumental in addressing the Parthenium menace. Balaji meticulously trained the model using a comprehensive dataset of Parthenium and non-Parthenium images, ensuring high accuracy and reliability in weed identification. This cutting-edge solution seamlessly integrated into our project’s official website enhances accessibility and usability for stakeholders. Balaji’s dedication, technical acumen, and innovative approach underscore the effectiveness of our endeavours in combating the spread of Parthenium weed. His commitment to excellence and problem-solving skills exemplifies the collaborative spirit driving our team towards meaningful impact in environmental conservation. In recognition of his invaluable contribution, Balaji’s work stands as a testament to the collaborative synergy fostered within our group, propelling us towards achieving our project’s objectives with utmost efficiency and effectiveness.

Contact
bottom of page