Automated Agronomic Bot for Green Ailment Scanner

Abstract

Agriculture's productivity has a big impact on the Indian economy. Plant disease identification is key to agricultural output. Early detection of sick plants reduces productivity and volume losses. Plant diseases are studied by examining the plant's apparent characteristics. Long-term farming requires monitoring crop health. Handling plant disease outbreaks is tough. Huge effort, plant disease knowledge, and processing time are needed. Early identification is crucial since it can affect output quantity and quality. When crops on large farms become apparent on the plant's leaves, an automated method will be useful. Image processing is used to identify plant diseases. Disease detection involves picture capture, pre-processing, segmentation, feature extraction, and classification. This study looked for plant illnesses using leaf pictures. In this work, leaf pictures were analysed to diagnose plant illnesses. Some strategies for recognising plant diseases were also addressed. Neural Networks were used to classify leaf diseases in this article. AGRI ROBOT helped with this.