Review on Different Types of Leaf Disease Detection Methods
DOI:
https://doi.org/10.32628/CSEIT24104132Keywords:
Leaf Disease Detection, Machine Learning, Image Processing, Deep Learning, Crop Health, Real-Time DetectionAbstract
This review explores the various methods employed in detecting leaf diseases, highlighting their significance in ensuring healthy crop yields. The paper examines traditional techniques like visual inspection and microscopy, as well as advanced methods that leverage machine learning, image processing, and deep learning algorithms. Emphasis is placed on the accuracy, efficiency, and scalability of these approaches, considering the challenges of real-time disease detection in diverse environmental conditions. By comparing the strengths and limitations of different methods, the review aims to provide a comprehensive understanding of the current state and future directions in leaf disease detection technology.
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Bhavesh Kataria Dr. Harikrishna B. Jethva, " Review of Advances in Digital Recognition of Indian Language Manuscripts, International Journal of Scientific Research in Science, Engineering and Technology, Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 1, pp.1302-1318, January-February-2018. Available at doi : https://doi.org/10.32628/ijsrset1841215 DOI: https://doi.org/10.32628/IJSRSET1841215
Bhavesh Kataria "Weather-Climate Forecasting System for Early Warning in Crop Protection, International Journal of Scientific Research in Science, Engineering and Technology, Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 5, pp.442-444, September-October-2015. Available at : https://doi.org/10.32628/ijsrset14111 DOI: https://doi.org/10.32628/IJSRSET14111
Bhavesh Kataria "Use of Information and Communications Technologies (ICTs) in Crop Production” International Journal of Scientific Research in Science, Engineering and Technology, Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 3, pp.372-375, May-June-2015. Available at : https://doi.org/10.32628/ijsrset151386 DOI: https://doi.org/10.32628/IJSRSET151386
Bhavesh Kataria, Jethva Harikrishna, "Performance Comparison of AODV/DSR On-Demand Routing Protocols for Ad Hoc Networks", International Journal of Scientific Research in Science and Technology, Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 1, Issue 1, pp.20-30, March-April-2015. Available at : https://doi.org/10.32628/ijsrst15117 DOI: https://doi.org/10.32628/IJSRST15117
Bhavesh Kataria, "XML Enabling Homogeneous and Platform Independent Data Exchange in Agricultural Information Systems, International Journal of Scientific Research in Science, Engineering and Technology, Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 2, pp.129-133, March-April-2015. Available at : https://doi.org/10.32628/ijsrset152239 DOI: https://doi.org/10.32628/IJSRSET152239
Bhavesh Kataria, "The Challenges of Utilizing Information Communication Technologies (ICTs) in Agriculture Extension, International Journal of Scientific Research in Science, Engineering and Technology, Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 1, pp.380-384, January-February-2015. Available at : https://doi.org/10.32628/ijsrset1511103 DOI: https://doi.org/10.32628/IJSRSET1511103
Bhavesh Kataria, "Role of Information Technology in Agriculture : A Review, International Journal of Scientific Research in Science, Engineering and Technology, Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 1, pp.01-03, 2014. Available at : https://doi.org/10.32628/ijsrset141115 DOI: https://doi.org/10.32628/IJSRSET141115
Bhavesh Kataria, Analysis of Rice Grains Through Digital Image Processing, SCI-TECH Research (National Journal) ISSN 0974 – 9780, February, 2012 (Print)
Bhavesh Kataria, Characterization and Identification of Rice Grains Through Digital Image Analysis in International Journal – Sanshodhan, ISSN 0975- 4245, December, 2011 (Print)
Shankar R, Kataria B, Mukerji M. Finding Alu in primate genomes with AF-1. Bioinformation. 2009;3(7):287-8. doi: https://doi.org/10.6026/97320630003287. Epub 2009 Feb 26. PMID : 19293991; PMCID: PMC2652563. DOI: https://doi.org/10.6026/97320630003287
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