n4riceleaf: AN ANDROID/WEB BASED APPLICATION TO ESTIMATE NITROGEN CONCENTRATION IN RICE CROP

• Main Authors: Rajpoot, Sharad Chandra, Pandey, Chanki, SETHY, PRABIRA KUMAR, Behera, Santi Kumari
• Format: Patent
• Language: English
• Published: 29.10.2020
• Subjects: CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; PHYSICS

n4riceleaf: AN ANDROID/WEB BASED APPLICATION TO ESTIMATE NITROGEN CONCENTRATION IN RICE CROP Abstract In Rice crop, (Oryza sativa) the Nitrogen & Chlorophyll contents can be estimated by Leaf Color Chart (LCC) for proper prescription about the Fertilizer. Comparing the visual attributes with the LCC is not same always. The accuracy is affected by human color perception. This innovation proposes development of a Web/Android based application called "n4riceleaf'. This application captures a 2D color image of rice leaf & determines its average color in HEX color code. Then it makes an estimation of N concentration in accordance to the generated HEX color code of the image & the five shade LCC achieving high accuracy. This application runs on all devices irrespective of device & platform i.e. Smartphone, tablet, Laptop etc. which meets a minimum requirement. Start Image Acquision of rice leaf in daylight condition Cropping oCrop the image covering Needed? orly the leaf part No Getting the average color of the image(R:G:B) Dtme Delay enerate the Hexadecimal Color Code frorn RGB value Compare the HEX Color code with For Muiltiple the HEX color Code of LCC SamplesImg processing Determine the LCC shade Niumber and Nitrogen Level Testing Date & Time I RESULT 1.HEX Color Code 2.RGB Value Loca datbse3.Nitrogen Level 4.Current Date & Time Fig. 2 Image processing in Mobile Application.