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Crucial Wavelength Selection for Selective Nutrients of SorghumAuthor: Nikita Chaturvedi Date: 2019-10-18 Report no: IIIT/TH/2019/111 Advisor:Azeemuddin Syed,Suresh Purini AbstractThe ever-growing demand for livestock product because of increase in population, urbanisation and income create a need for development in this sector. Advancements in nutrients and creature well-being will keep on adding to expanding potential generation and further proficiency. Sorghum is important forage crop used in the development of livestock. It is equipped for delivering significant amounts of feed amid the hotter months of the year. However, the livestock production not only relies on the accessibility of grain but the continuous availability of good quality forage. Assessment of quality of a forage depends on the estimation of nutrients present in it. There is a need for improvement in the time-consuming and exorbitant traditional methods for measuring nutrients in sorghum fodder. Near InfraRed Spectroscopy (NIRS) is the new and growing technology in this field. It is the quickest method for estimating nutrient, yet the high expense of the spectroscopic instrument limits its utilization. Therefore, there is a necessity to explore techniques which are low cost, inexpensive and are not labourintensive. NIRS technology scans the spectra for a wide range of wavelengths, which makes it expensive. We have applied Partial Least Square Regression (PLSR) on NIRS data of Sorghum to select significant wavelengths for Crude-Protein (CP), Neutral Detergent Fiber (NDF) and Acid Detergent Fiber (ADF) content estimation. Calibration models proposed using a single wavelength (1449nm) and a pair of wavelength (1485nm and 1486nm) give the best predictive squared correlation coefficient (Q2 ) as 0.7928 and 0.8334 respectively for CP. A pair of wavelengths (1165 nm and 2391 nm) is giving the maximum Q2 value as 0.4045 for NDF. For ADF, the maximum value of Q2 obtained is 0.2208 using 354 nm and 1204 nm wavelengths are used in combination. An LED based chemical detection technique has been used to calculate absorbance for CP estimation at one of its important wavelengths. The advantages of LEDs are that they are low cost, low power and readily available important optical device. The wavelength of 1450 nm giving the Q2 value as it is a commercial LED which is easily available in the market and has been used to design hardware in combination with a Photo Diode (PD) of same peak wavelength to measure the absorbance of collected samples of sorghum. The absorbance values, obtained by using the above mentioned hardware design, are then used in a calibration model equation of 1450 nm wavelength, derived using NIRS dataset by applying PLSR. A laboratory analysis method for CP calculation known as the Kjeldahl method is applied to the same samples for verification purposes. On comparing the CP value obtained using LED based method with that of the Kjeldahl method, we are getting a deviation of 19.48% Through this work, we can implement the fastest, low cost and precise design for the estimation of CP values for sorghum. Further, we can incorporate this design for other nutrient values such as NDF and ADF using their respective set of significant wavelengths. Full thesis: pdf Centre for VLSI and Embeded Systems Technology |
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