Leveraging the Image Processing Tools and Techniques for the Early Detection, Diagnosis and Classification of Fruit Diseases
Gaurav Chhikara
Vol. 6, Jan-Dec 2020
Page Number: 168 - 172
Abstract:
Because it will impact the agricultural field, early disease detection is essential. This project focuses primarily on the detection and analysis of fruit infections that can be found in plant areas, the database storage of information about agricultural fields and farmers, and the retrieval of that information using Cloud computing. Insects in the farm area, surrounding conditions, mineral levels, and other factors contribute to an increase in fruit diseases. Image processing determines and stores the plant area's detected data in the database.
References
- Asha R.Patil, Varsha I.Patil, B.S.Panchbhai,“Detection of Plant Diseases Using Image Processing Tools”. Asha R. Patil Varsha I.Patil. Int. Journal of Engineering Research and Application ISSN : 2248-9622, Vol. 7, Issue 4, (Part -2) April 2017, pp.44- 45.
- Pratik Agarwal, “AGROCLOUD-Open surveillance of Indian Agriculture via cloud” 2016. International Conference on Information Technology (InCITe)-The NextGeneration IT Summit.
- Athmaja S1, Hanumanthappa M2, “Applications of Mobile Cloud Computing and Big Data Analytics in Agriculture Sector- A Survey”. International Journal of Advanced Research in Computer and Communication Engineering ICRITCSA M S Ramaiah Institute of Technology, Bangalore Vol. 5, Special Issue 2, October 2016. Authorized licensed use limited to: INDIAN INSTITUTE OF TECHNOLOGY KHARAGPUR. Downloaded on August 24, 2020 at 22:59:23 UTC from IEEE Xplore. Restrictions apply.
- Wang-Su Jeon1 and Sang-Yong Rhee, “Plant Leaf Recognition Using a Convolution Neural Network” International Journal of Fuzzy Logic and Intelligent Systems Vol. 17, No. 1, March 2017, pp. 26-34
- Li Tan, Hongfei Hou, Qin Zhang. “An Extensible Software Platform for Cloud- based Decision Support and Automation in Precision Agriculture”. 2016 IEEE 17th International Conference on Information Reuse and Integration.
- P. Deepan “Detection and Classification of Plant Leaf Diseases by using Deep Learning Algorithm” International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181 Published by, www.ijert.org ICONNECT -2k18
- Jagadeesh D.Pujari, Rajesh Yakkundimuth, Abdulmunaf, S.Byadgi, “Image Processing Based Detection of Fungal Diseases in Plants”. International Conference DETECTION AND CLASSIFICATION OF FRUIT DISEASES USING IMAGE PROCESSING AND CLOUD COMPUTING CMRTC 46 on Information and Communication Technologies (ICICT 2014).Procedia Computer Science 46 (2015) 1802 – 1808.
- Shiv Ram Dubey, Pushkar Dixit, Nishant Singh, Jay Prakash Gupta, “Infected Fruit Part Detection Using K-Means Clustering Segmentation Technique”. International Journal of Artificial Intelligence and Interactive Multimedia.
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