• Asha Patil

For thousands of years, agriculture has been the main source of human sustenance. Approximately 50% of the global population still depends on it for their subsistence. Every year, plant leaf diseases cause significant losses in crop productivity across the globe. To offset the financial losses resulting from plant leaf diseases, it is imperative to maintain the health of the plants at different phases of their growth and development. Since plant leaves are the primary organs that display symptoms of illnesses, leaves are frequently utilised to detect and identify diseases. Visual observation is a difficult method of disease detection that takes a great deal of human skill. Digital image processing techniques and computational intelligence offer enhanced assistance to farmers in identifying leaf diseases. Plant leaf diseases can be identified by their symptoms, which can be extracted as features. Therefore, in these kinds of systems, feature extraction techniques are essential. The review of feature extraction approaches are highlighted in the paper. It offers a thorough analysis of numerous visual characteristics, including colour, texture, and shape, for a range of illnesses in diverse cultural contexts.

DigitalImage processing, Leaf diseases, Image Feature extraction

""Foliage Diagnostics: Pioneering Insights through Feature Extraction Techniques in Leaf Disease Identification"", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 1, page no.f651-f655, January-2024, Available :http://www.jetir.org/papers/JETIR2401580.pdf

""Foliage Diagnostics: Pioneering Insights through Feature Extraction Techniques in Leaf Disease Identification"", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 1, page no. ppf651-f655, January-2024, Available at : http://www.jetir.org/papers/JETIR2401580.pdf