Classification of Crops Using ANN
Anandkumar1, Lalitha Y S2
1Anandkmar, Department of Computer Science Engineering, Sharnbasva University, Kalaburgi, India.
2Dr. Lalitha Y S, Department of Engineering and Communication Engineeringt, Don Bosco Institute of Technology, Bengaluru, India.
Manuscript received on 01 March 2019 | Revised Manuscript received on 08 March 2019 | Manuscript published on 30 July 2019 | PP: 6367-6370 | Volume-8 Issue-2, July 2019 | Retrieval Number: B2708078219/19©BEIESP | DOI: 10.35940/ijrte.B2708.078219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper presents study on image processing techniques used classify the crop images. Advanced computing technology helps to improve yield of agriculture products with increasing population of the world and less resources of food. Identification of automatic crop classification based on types is the most important problem. Automatic identification of crop type could help farmers for application of fertilization, pesticides and harvesting of different crop species on-time for the improvement of the production processes of food industries. In this work, Artificial Neural network was used to classification of Guava, Papaya, Banana and Pomegranate crop images. The result shows 90% accuracy in the classification.
Keywords: ANN, Classification, Crop Images.
Scope of the Article: Classification