Predict Growth Stages of Wheat Crop using Digital Image Processing
Bhawana Sharma1, Jay Kant Pratap Singh Yadav2
1Bhawana Sharma, Department of Computer Science & Engineering, Ajay Kumar Garg Engineering College, Ghaziabad, India.
2Jay Kant Pratap Singh Yadav, Department of Computer Science & Engineering, Ajay Kumar Garg Engineering College, Ghaziabad, India.
Manuscript received on January 01, 2020. | Revised Manuscript received on January 20, 2020. | Manuscript published on January 30, 2020. | PP: 3026-3035 | Volume-8 Issue-5, January 2020. | Retrieval Number: E6201018520/2020©BEIESP | DOI: 10.35940/ijrte.E6201.018520
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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: Manual examination is not as accurate to examine crop growing stages because of the possibility of the human mistake and errors. While machine examination or automatic examination can easily examine crop growing stages and increase productivity because it provides fast and accurate examine result. This study provide a solution to finding the wheat crop growth stages, Once the growing stages are established, farmers can take suitable and measured steps to improve the production of wheat or other agricultural crops. For finding the growth stages of wheat digital image processing technique is used. RGB model, HSI model, mean value of green colour, hue and saturation images use for examining wheat crop.
Keywords: RGB, HSI, Colour Models, Colour Image Processing, Digital Image Processing.
Scope of the Article: Image Processing and Pattern Recognition.