18ME42 Applied Thermodynamics – ATD – Notes Here you can download the VTU CBCS 2018 Scheme notes, Question papers, and Study materials of 18ME42 Applied Thermodynamics. University Name Visvesvaraya Technological University (VTU), Belagavi Branch Name Mechanical Engineering Semester 4th Semester Subject Name Applied Thermodynamics – ATD – Notes Subject Code 18ME42 – ATD Notes Scheme […]
18ME36B/46B ( 18ME36B – 18ME46B ) Mechanical Measurements and Metrology – MMM – Notes Here you can download the VTU CBCS 2018 Scheme notes, Question papers, and Study materials of 18ME36B/46B Mechanical Measurements and Metrology. University Name Visvesvaraya Technological University (VTU), Belagavi Branch Name Mechanical Engineering Semester 3rd Semester and 4th Semester Subject Name Mechanical
18ME36B/46B Mechanical Measurements and Metrology – MMM – Notes Read More »
18ME36A/46A (18ME36A – 18ME46A) Computer-Aided Machine Drawing – CAMD – Notes Here you can download the VTU CBCS 2018 Scheme notes, Question papers, and Study materials of 18ME36A/46A (18ME36A – 18ME46A) Computer-Aided Machine Drawing. University Name Visvesvaraya Technological University (VTU), Belagavi Branch Name Mechanical Engineering Semester 3rd Semester and 4th Semester Subject Name Computer-Aided Machine
18ME36A/46A Computer-Aided Machine Drawing – CAMD – Notes Read More »
18ME35B/45B (18ME35B – 18ME45B) Metal Casting and Welding – MCW – Notes Here you can download the VTU CBCS 2018 Scheme notes, Question papers, and Study materials of 18ME35B/45B (18ME35B – 18ME45B) Metal Casting and Welding. University Name Visvesvaraya Technological University (VTU), Belagavi Branch Name Mechanical Engineering Semester 3rd Semester and 4th Semester Subject Name
18ME35B/45B Metal Casting and Welding – MCW – Notes Read More »
18ME35A/45A (18ME35A and 18ME45A) Metal Cutting and Forming – MCF – Notes Here you can download the VTU CBCS 2018 Scheme notes, Question papers, and Study materials of 18ME35A/45A Metal Cutting and Forming. University Name Visvesvaraya Technological University (VTU), Belagavi Branch Name Mechanical Engineering Semester 3rd Semester and 4th Semester Subject Name Metal Cutting and
18ME35A/45A Metal Cutting and Forming – MCF – Notes Read More »
18ME34 Material Science (MS) Notes Here you can download the VTU CBCS 2018 Scheme notes, Question papers, and Study materials of 18ME34 Material Science. University Name Visvesvaraya Technological University (VTU), Belagavi Branch Name Mechanical Engineering Semester 3rd Semester Subject Name 18ME34 Material Science (MS) Subject Code 18ME34 – MS CBCS Notes Scheme of Examination 2018
18ME33 Basic Thermodynamics ( BTD ) Notes Here you can download the VTU CBCS 2018 Scheme notes, Question papers, and Study materials of 18ME33 Basic Thermodynamics. University Name Visvesvaraya Technological University (VTU), Belagavi Branch Name Mechanical Engineering Semester 3rd Semester Subject Name 18ME33 Basic Thermodynamics – BTD Subject Code 18ME33 – BTD Scheme of Examination
18ME32 Mechanics of Materials (MOM) Notes Here you can download the VTU CBCS 2018 Scheme notes, Question papers, and Study materials of 18ME32 Mechanics of Materials. University Name Visvesvaraya Technological University (VTU), Belagavi Branch Name Mechanical Engineering Semester 3rd Semester Subject Name 18ME32 Mechanics of Materials (MOM) Subject Code 18ME32 – MOM Scheme of Examination
Plant leaf infection detection Project for final year students In this project machine learning and image processing techniques are used to detect and classify the plant leafs as infectious and non-infectious. Video Demonstration Model Building Deployment Streamlit Application The project is tested on different plant leaf datasets such as Bell Pepper, Maize, and tomato leaf
Plant Leaf Disease Detection Using Machine Learning and Image Processing Project for final year students Description: In this project, we first collect images of different types of infected, good, and seems to be infected plant leaves. Once the leaf dataset is prepared then, we apply an image processing algorithm to the images and predict the
Plant Leaf Disease Detection Machine Learning Project Read More »
