• Tanishka Morghade
• Kiran Likhar
• Aishwarya Mendhe
• Mounika Narsinghoj
• Shruti Raut

We discuss the urgent problem of plant diseases and their negative effects on agricultural productivity worldwide in our research article. Acknowledging the vital significance of prompt identification and accurate diagnosis in addressing these illnesses, we explore cutting edge methods, notably utilizing deep learning and image processing approaches. Our research is focused on creating a reliable and effective technology designed to identify a range of plant leaf diseases accurately and automatically. Our research is centered on investigating and assessing various deep learning architectures and image processing methods. Through a methodical evaluation and comparison of different approaches, our goal is to determine which strategies work best for disease diagnosis. To maximise the effectiveness of our system in detecting and diagnosing plant diseases, we strive to enhance and optimise it through meticulous experimentation and analysis. Our ultimate goal is to develop an advanced instrument that can precisely detect common plant diseases in their early stages. This proactive strategy gives farmers the ability to quickly step in, take the necessary action, and reduce crop losses in order to slow the spread of disease. Our research aims to furnish agricultural stakeholders with essential tools for preserving crop health and augmenting overall agricultural sustainability by offering prompt and accurate disease detection capabilities

: plant diseases, early detection, accurate diagnosis, deep learning, image processing, disease detection, deep learning architectures, automated detection, robust system, timely action, crop losses, agricultural sustainability.

"Plant leaves disease detection System using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.b246-b252, May-2024, Available :http://www.jetir.org/papers/JETIR2405133.pdf

"Plant leaves disease detection System using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppb246-b252, May-2024, Available at : http://www.jetir.org/papers/JETIR2405133.pdf