Characterization of rice paddies by a uav mounted miniature hyperspectral sensor system zebros ieee

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ZEBROS PROJECTS CHARACTERIZATION OF RICE PADDIES BY A UAVMOUNTED MINIATURE HYPERSPECTRAL SENSOR SYSTEM ABSTRACT The hyper spectral sensor system, equipped with a 256-band hyper spectral sensor covering a spectral range from 340–763 nm, a GPS and a data logger, is 400 g in total weight. A low-cost, small, lightweight hyperspectral sensor system that can be loaded onto small unmanned autonomous vehicle (UAV) platforms has been developed for the acquisition of aerial hyperspectral data. Safe and easy observation is possible under unstable illumination conditions by using lightweight and autonomous cruising. The acquisition period for each sampling, 768 bytes, is 100 ms. the aerial hyper spectral data of rice paddies are collected under cloudy weather. The flight altitude from the ground is 10 m, and the cruising speed is 2 m/s. The high-accuracy estimation of the chlorophyll densities is confirmed, even under unstable illumination conditions, by frequent monitoring of the illumination level and the chlorophyll indices, based on the red-edge (RE) and near infrared (NIR) spectral ranges. EXISTING SYSTEM In our previous research, a hyper spectral array sensor system (spectral range: 400–1000 nm, 121 bands, spectral resolution: 5 nm, spatial dimension: 484 pixel, weight: 11 kg) was bottom-mounted onto an unmanned radio-controlled helicopter RMAX 18 (Yamaha Co., vehicle mass: 64 kg, payload: 30 kg). The helicopter’s flight altitude and speed were 20 m and 15 km/h, respectively. The field of view (FOV) was 15, and the frame rate (FPS) was 30; thus the spatial resolution of the acquired data was 0.14 m (flight direction) 0.022 m (swath width). The chlorophyll concentration level was demonstrated to be estimated with high accuracy, based on the hyper spectral images of a paddy field. Zarco-Tejada et al. estimated the water stress level in a citrus orchard Office Address: No 4 / Flat No 3D, Sai Kiran Apts, First Main Road, Kasturba Nagar, Chennai-20 web: www.zebros.in e mail : zebrosprojects@gmail.com mob: 99400 98300


ZEBROS PROJECTS using spectral vegetation indices based on an aerial hyper spectral image. The hyper spectral image was acquired by a micro-hyper spectral camera (spectral range: 400–885 nm, 260 bands, spectral resolution: 1.85 nm, weight: less than 3 kg) mounted onto a UAV with a 5-m wingspan fixed-wing platform (Quanta Lab, IAS-CSIC, Spain, vehicle mass: 13.5 kg, payload: 3 kg). In the current Japanese agricultural field, the number of unmanned helicopters for chemical crop dusting is over 2,400, and the number of licensed operators has reached 14,000. These readily available helicopters could be powerful tools as platforms of hyper spectral sensors. However, there are some obstacles to exploiting these helicopters as a platform for hyper spectral observation: i) only a small number of specially trained operators are permitted to control the helicopters for aerial observation purposes, and ii) a helicopter crash would be a serious issue because of the heavy mass and high power of the helicopter.

PROPOSED SYSTEM Remotely sensed spectral maps are widely used for vegetation monitoring. In flooded rice paddies are identified by the relationship between the land surface water index (LSWI) and the enhanced vegetation index (EVI), which is based on the MODIS image galleries. In agriculture, spectral information is also an important aid for land management in precision farming because the spectral profiles of remotely sensed vegetation are determined by the combination of pigment absorption and volume scattering.

Office Address: No 4 / Flat No 3D, Sai Kiran Apts, First Main Road, Kasturba Nagar, Chennai-20 web: www.zebros.in e mail : zebrosprojects@gmail.com mob: 99400 98300


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By using ground-based hyper spectral acquisition systems, the acquisition of spatially high-resolution hyperspectral images free from atmospheric absorption and scattering is possible. A spatially wide range of area is covered in an aerial hyperspectral image by an airborne sensor system. 

We introduce a newly developed, low-cost, lightweight hyperspectral sensor system. The developed sensor system, equipped with a 256-band hyperspectral sensor with a spectral range from 340 to 763 nm, a GPS, and a data logger, is 400 g in total weight.

Chlorophyll densities are estimated based on the low altitude aerial hyperspectral data of rice paddies captured by the developed UAV-mounted hyperspectral sensor system.

The estimation results are compared with the ground truth values, i.e., SPAD readings of the contact transparent leaf-color monitoring device SPAD, together with the estimation accuracies of the spectral chlorophyll indices, to evaluate the quality of the acquired data.

Office Address: No 4 / Flat No 3D, Sai Kiran Apts, First Main Road, Kasturba Nagar, Chennai-20 web: www.zebros.in e mail : zebrosprojects@gmail.com mob: 99400 98300


ZEBROS PROJECTS We developed a miniature hyperspectral sensor system, which is composed of the following elements: 1) a hyper spectral sensor, 2) a GPS sensor, 3) a data logger, 4) a LCD display and control switches, and 5) a power supply... The gross weight of the hyperspectral sensor system is 400 g. ADVANTAGE 

Low power

Low cost

Good efficiency

Less noise

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Office Address: No 4 / Flat No 3D, Sai Kiran Apts, First Main Road, Kasturba Nagar, Chennai-20 web: www.zebros.in e mail : zebrosprojects@gmail.com mob: 99400 98300


ZEBROS PROJECTS PROJECT SUPPORT 0th Review        

Abstract Existing System Disadvantages Proposed System Advantages Objective System Requirements System Architecture 2nd Review

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Use case Diagram Class Diagram Collaboration Diagram Sequence Diagram Activity Diagram Testing & test cases Partial Code Screenshot for First two module  Review Document Explanation Final Review

1st Review        

Literature Survey Module List Module Description Data Flow Diagram Level DFD Module Wise DFD Problem Definition Review Document Explanation 3rd Review

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Conclusion References Future Enhancement 65% code (Executable Format) Required Software Review Document Explanation

 Complete Code with Enhancement  Final Document (University Standard Format)  Complete Explanation for Project Concept & Code

Office Address: No 4 / Flat No 3D, Sai Kiran Apts, First Main Road, Kasturba Nagar, Chennai-20 web: www.zebros.in e mail : zebrosprojects@gmail.com mob: 99400 98300


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