A Survey Paper On Plant Disease Prediction
Volume: 13 - Issue: 03 - Date: 01-03-2024
Approved ISSN: 2278-1412
Published Id: IJAECESTU376 | Page No.: 1-5
Author: Sandeep Chouhan
Co- Author: Prof. Nitya Khare,Dr Sneha Soni
Abstract:-Agriculture plays an important role in Indian economy and development. But due to unfamiliar weather
conditions and attacks by different microorganisms, crops are getting infected. This causes a huge loss to the farmer and
impacts the economy and food security. Therefore, determining crop diseases at an early stage is very important to
prevent losses, maintain quality and increase crop productivity. However, due to a lack of knowledge and unavailability
of resources, immediate identification of diseases through visual monitoring is difficult. To overcome this problem, we
need a proper monitoring system that helps to predict the type of infection or disease present. This information can be
valuable for farmers to take appropriate measures to prevent and control the spread of diseases.Many researchers have
been working in this direction for decades. This survey paper provides a comprehensive overview of the current state of
research in the field of plant disease prediction, focusing on various techniques, methodologies, and advancements. The
survey paper begins by discussing existing plant disease prediction methods, different machine learning -based models,
various technologies used in them, their performance, and challenges associated with plant disease prediction.
Furthermore, the survey paper includes the future possibilities of the development in the domain of plant disease
prediction. The paper concludes by highlighting why it is important to predict plant diseases accurately. If done well,
accurate prediction can help farmers grow food in an environmentally friendly manner and ensure there is enough food
for everyone around the world.
Key Words:-Image Processing, Plant Leaf, Feature Extraction, Image Classification.
Area:-Engineering
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