Non-contact assessment of the nutritional value of feed with optical technologies
https://doi.org/10.26897/2687-1149-2024-3-51-57
Abstract
The nutritional value of feed is assessed with optical instruments using infrared incandescent or halogen lamps as a source of excitation of the spectral signal of the feed. However, no use is still made of energy-efficient diode optics of the visible radiation range. The authors conducted research to identify the possibility of developing a portable feed value analyzer using a spectral analyzer based on diode optoelectronics. First, the Micran-3 infrared microscope was used to study the microstructure of concentrated feed components; then, measurement ranges were selected. The authors studied characteristic ranges of photoluminescence of corn grain, sunflower meal, grain stillage, and rapeseed meal. Excitation (absorption) spectra were measured at synchronous scanning by the SM 2203 spectrofluorimeter monochromators to analyze luminescence spectra of corn silage and concentrated mixed fodder. As a result, integral parameters of spectra were calculated: integral absorption capacity and the photoluminescence flux index. It has been established that the intensity of luminescence spectra of corn silage in the range between 360 and 370 nm and that of concentrated mixed fodder in the range between 420 and 440 nm differ in more than four times. The value of captured photovoltage of corn silage and concentrated mixed fodder differs in six times. The results of optical measurements have proved that the discrepancy of indicators characterizing the nutritional value of feed (dry matter content, total protein content, etc.) has a significant influence on the parameters of optical signals. The authors have proposed the functional design of a portable optical analyzer with diodes, which is capable of estimating the nutritional value of feed by the non-contact method for 12 hours running without additional recharging.
About the Authors
E. A. NikitinRussian Federation
Evgeniy A. Nikitin, Senior Research Engineer, PhD (Eng)
109428, Moscow, 1st Institutskiy Proezd Str., 5
M. V. Belyakov
Russian Federation
Mikhail V. Belyakov, Lead Research Engineer
109428, Moscow, 1st Institutskiy Proezd Str., 5
I. Yu. Efremenkov
Russian Federation
Igor Yu. Efremenkov, Specialist
109428, Moscow, 1st Institutskiy Proezd Str., 5
D. А. Blagov
Russian Federation
Dmitriy A. Blagov, Senior Research Engineer, PhD (Bio)
109428, Moscow, 1st Institutskiy Proezd Str., 5
R. A. Mamedova
Russian Federation
Ravza A. Mamedova, PhD (Eng)
109428, Moscow, 1st Institutskiy Proezd Str., 5
A. S. Sviridov
Russian Federation
Aleksei S. Sviridov, Junior Research Engineer
109428, Moscow, 1st Institutskiy Proezd Str., 5
A. Y. Alipichev
Russian Federation
Aleksei Yu. Alipichev, PhD (Ed), Associate Professor, Russian and Foreign Languages Department
Moscow, 49, Timiryazevskaya Str
References
1. Kirsanov V.V. Structural and functional models for building new generation automated and robotic dairy farms. Agricultural Machinery and Technologies. 2022;16;1:4 9. (In Russ.) https://doi.org/10.22314/2073-7599-2022-16-1-4-9
2. Mikhailichenko S.M., KupreenkoA.I., Ivanov Yu.G., Nikitin E.A. Optimization of volume for an automatic feed wagon by graph theory based modeling. Agricultural Machinery and Technologies. 2023;17;4:35 41. (In Russ.) https://doi.org/10.22314/2073-7599-2023-17-4-35-41
3. Erokhin M.N., DorokhovA.S., Kirsanov V.V., Chepurina E.L. Conceptual grounds for the construction of a regional multifunctional service center for dairy livestock. Agricultural Engineering (Moscow). 2021;1(101):4 10. (In Russ.) https://doi.org/10.26897/2687-1149-2021-1-4-10
4. Ivanov Yu.G., Mashoshina E.V., Verlikova L.N., Gabdullin G.G., Lukyanchuk E.V., Verlikov V.V. Robotic technology of obtaining milk from individual cows and its technical and economic evaluation. Machinery and technologies in livestock. 2021;2(42):46 52. (In Russ.)
5. KupreenkoA.I., Isaev Kh.M., Mikhailichenko S.M. Automatic cattle feeding system based on the use of a suspended robotic feeder. Machinery and technologies in livestock. 2021;3(43):5 9. (In Russ.)
6. Lyalin E.A., Trutnev M.A.; Trutnev N.V. Parameters of the spiral-screw device for dosing mineral fertilizers with different consumption characteristics. Perm Agrarian Journal. 2021;4(36):14 22. (In Russ.) https://doi.org/10.47737/2307-2873_2021_36_14
7. Lyalin E.A.; Trutnev M.A.; Trutnev N.V. Performance assessment of mixed fodder distributor with a spiral-screw dispenser. Perm Agrarian Journal. 2019;4(28):4 10. (In Russ.)
8. Simachkova M.S. Analysis of technological lines and equipment for the preparation of compound feeds. Bulletin NGIEI. 2023;6(145):18 36. (In Russ.)
9. VakhrushevA.V., ZemskovA.V., FedotovA.Yu. Hardware-software complex for uniform mixing analysis of micro and nanoelements. Chemical Physics and Mesoscopy. 2009;11;4:421 429. (In Russ.)
10. Nikitin E.A., Semenyuk V.S. Analysis of feed mixture effective preparation’s problems in the modern farming. Vestnik Vserossiyskogo Nauchno-Issledovatelskogo Instituta Mekhanizatsii Zhivotnovodstva. 2019;2(34):158 163. (In Russ.)
11. Bloch V., Levit H., Halachmi I. Assessing the potential of photogrammetry to monitor feed intake of dairy cows. Journal of Dairy Research. 2019;86(1):34 39. https://doi.org/10.1017/S0022029918000882
12. Lednev V.N., Sdvizhenskii P.A., Grishin M.Y., Gudkov S.V., Pershin S.M., Nikitin E.A. Improving calibration strategy for LIBS heavy metals analysis in agriculture applications. Photonics. 2021;8(12):563. https://doi.org/10.3390/photonics8120563
13. Knight C.H. Quality dairying. Journal of Dairy Research. 2023;90(3):215 220. https://doi.org/10.1017/S0022029923000535
14. Ichimura T., Kusaka M., Nakamura T. The effect of high-temperature heat treatment and homogenization on the microstructure of set yogurt curd networks. Journal of Dairy Research. 2023;90(3):306 311. https://doi.org/10.1017/S0022029923000523
15. VarkhushevA.V. Modeling the processes of ordering and self-organization of nanostructures. Chemical Physics and Mesoscopy. 2005;7;2:219 228. (In Russ.)
16. Belyakov M.V., Pavkin D.Yu., Nikitin E.A., Efremenkov I. Yu. Substantiation of the choice of special ranges for photoluminescent control of the composition and nutritional value of forages. Machinery and Equipment for Rural Area. 2023;2(308):31 36. (In Russ.)
Review
For citations:
Nikitin E.A., Belyakov M.V., Efremenkov I.Yu., Blagov D.А., Mamedova R.A., Sviridov A.S., Alipichev A.Y. Non-contact assessment of the nutritional value of feed with optical technologies. Agricultural Engineering (Moscow). 2024;26(3):51-57. https://doi.org/10.26897/2687-1149-2024-3-51-57