A Survey on Weed Detection Using Image Processing in Agriculture
Keywords:
Weed Detection, Plant Reflectance, Visual Texture, Inter Row Weed DetectionAbstract
Agriculture is one of the most important origins of human sustenance in whole world. Due to increasing population peoples require more productive capacity of the agriculture to fulfill the demands at present. In the past, we used natural methods to grow the productivity, such as using the cow dung as a fertilizer in the farms. That resulted in grow in the productivity according to demand of the population. But later we thought of growing more profits by getting more result. Therefore, there came a revolution named “Green Revolution”. After this period demand of dangerous poisons like herbicides has increased beyond limit. By getting so people got result in growing the productivity but people have ignored the side effects spread to the Eco system, which will raise suspense in our sustenance on this dangerous environment. So, in this research, we have tried to implement some techniques or methods to decrease the usage of herbicides by using them only in the geographical areas where weed available and destroying the crops. In this paper, we have used image processing using MATLAB to identify the weed place in an image which has been taken from the fields.
References
Ajinkya Paikekari Vrushali Ghule, Rani Meshram, V.B. Raskar,” Weed detection using image processing “ Volume-3, Issue-3, Page No (1-3), IRJET 2016.
Janwale Asaram Pandurng, Santosh S. Lomte ” Digital Image Processing Applications in Agriculture”, Volume-5, Issue-3, Page No (1-3), IJARCSSE 2015.
Amruta A. Aware, Kavita Joshi, “Crop and Weed Detection Based on Texture and Size Features and Automatic Spraying of Herbicides”, Volume-6, Issue-1, Page No (1-7), IJARCSSE 2016.
Ashitosh K Shinde, Mrudang Y Shukla,” Crop Detection by Machine Vision for Weed Management”, Volume-7, Issue-3,pp (818-826) IJAET 2014.
Mrs. Latha, A Poojith, B V Amarnath Reddy, G Vittal Kumar, “Image Processing in Agriculture”, Volume-2, Issue-6, Page No (1-4), IJIREEICE 2014.
Su Hnin Hlaing, Aung Soe Khaing, “Weed And Crop Segmentation And Classification Using Area Thresholding”, Volume-3, Issue-3, Page No (1-8) IJRET2014.
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