I seek challenging opportunities where I can fully use my skills for the success of the organization.
Leaf Disease Detection and Recognition:-
The objective of Plant disease detection using leaf images is to design an incremental model to detect the plant diseases ignoring external features like environment, noise and background. This focuses on identifying various diseases in plants and to ease the job of farmers or to educate the farmers about the disease detected. An approach of classification using Convocational Neural Network that has very good working efficiency produces the accurate results. The system helps to improve the performance. Maintaining the project is easy and manageable.
[1] 1. To enhance the given input image by Image acquisition and Image preprocessing. 2. Identify the affected part through texture analysis and Segmentation. 3. Classify the healthy and affected leaf part by feature extraction and classification. 4. Train the model by using testing data for accurate result. In our project we try to detect various diseases that effect growth of a plant and try to provide solution to it with the help of machine learning algorithms In this project, we are developed a interface the soil moisture sensor with an Arduino and measure the volumetric concentration of water inside the soil. This sensor is designed in a way that it can output data in both digital and analog modes. We will read this data and display the output status with an LED for digital output and we will use the serial monitor or an LED with PWM for analog output