This paper is published in Volume-4, Issue-3, 2018
Area
Image Processing
Author
Vidyarani K, Dr. Shashikala
Org/Univ
BNM Institute of Technology, Bengaluru, Karnataka, India
Keywords
ANN, Otsu’s method, LCC, Morphological operations, HSV, RGB
Citations
IEEE
Vidyarani K, Dr. Shashikala. Nitrogen content in rice leaf and weed in crop row, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Vidyarani K, Dr. Shashikala (2018). Nitrogen content in rice leaf and weed in crop row. International Journal of Advance Research, Ideas and Innovations in Technology, 4(3) www.IJARIIT.com.
MLA
Vidyarani K, Dr. Shashikala. "Nitrogen content in rice leaf and weed in crop row." International Journal of Advance Research, Ideas and Innovations in Technology 4.3 (2018). www.IJARIIT.com.
Vidyarani K, Dr. Shashikala. Nitrogen content in rice leaf and weed in crop row, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Vidyarani K, Dr. Shashikala (2018). Nitrogen content in rice leaf and weed in crop row. International Journal of Advance Research, Ideas and Innovations in Technology, 4(3) www.IJARIIT.com.
MLA
Vidyarani K, Dr. Shashikala. "Nitrogen content in rice leaf and weed in crop row." International Journal of Advance Research, Ideas and Innovations in Technology 4.3 (2018). www.IJARIIT.com.
Abstract
Nitrogen (N) estimation and detecting weeds are two different works in the agriculture. Nitrogen is the essential nutrient in plant which gives the status of plants. Detecting weeds in the crop row is also an essential as it affects the crops yield [1]. In this work rice leaf images are considered to estimate nitrogen content based on Leaf Color Chart (LCC), this paper also discusses the detection of weeds in crop row field.
