Synthesis of an optimal radiation model of plant growth according to the criterion of the minimum of integral solar radiation transmitted to the soil
https://doi.org/10.32634/0869-8155-2022-359-5-63-66
Abstract
Relevance. Based on satellite remote sensing data, it has been suggested that there is a linear relationship between NDVI and FPAR. However, the significant influence of seasonal factors of a particular ecosystem on this relationship creates uncertainty in the assessment of plant productivity by remote sensing. This uncertainty in the estimates of total grown products (GPP) by the indicator calculated as the ratio of GPP to photosynthetically active radiation absorbed by vegetation can be explained by daily changes in incoming optical radiation both in composition and magnitude. It is shown that the GPP indicator can be determined indirectly by calculating the extremum of the heat flow of the soil coming from the outside.
Methods. A new approach to the synthesis of the optimal radiation regime of plant growth based on the methodology of optimization of isomorphic-holonomic systems is proposed. The basis of the proposed method for the synthesis of the radiation regime of plant growth is taking into account the total radiation coming from above to the crown of the plant, the peculiarity of this approach is to find a minimum of that part of the externally incoming photosynthetically active radiation that reaches the soil and is not spent on photosynthesis, provided that the production of the initially specified product is guaranteed. The optimization problem of achieving an extreme value of the total radiation coming from outside into the soil is formulated in the form of an unconditional variational optimization problem with a common target optimization functional. An approximate solution of the optimization problem is given, in which the target functional reaches a minimum, i.e. the maximum amount of external radiation is spent on the photosynthesis process.
Results. A solution is obtained at which the target functional reaches a minimum, i.e. the maximum amount of external radiation is spent on the photosynthesis process. It is shown that the application of the known method of unconditional variational optimization with a guaranteed given value of GPP allows us to determine the optimal radiation regime of plant growth.
About the Authors
G. H. AsadovAzerbaijan
Asadov Khikmet G., doctor of technical sciences
AZ1145, Republic of Azerbaijan, Baku, S.S. Akhundova st., p.1
V. Kh. Mahmudova
Azerbaijan
Mahmudova V. Kh., Candidate of Technical Sciences
AZ1145, Republic of Azerbaijan, Baku, S.S. Akhundova st., p.1
References
1. Feng Zhang, Guangsheng Zhou and Christer Nilsson. Remote estimation of the fraction of absorbed photosynthetically active radiation for a maize canopy in Northeast China. Journal of Plant Ecology - 2015. Vol. 8. No.4, pp. 429-435.
2. Field CB, Randerson JT, Malmström CM (1995) Global net primary production: combining ecology and remote sensing. Remote Sens Environ 51:74-88.
3. Zhang F., Zhou G, Wang Y (2008) Dynamics simulation of net primary productivity by a satellite data-driven CASA model in Inner Mongolian typical steppe, China. J Plant Ecol 32:786-97.
4. Vina A, Gitelson AA (2005) New developments in the remote estimation of the fraction of absorbed photosynthetically active radiation in crops Geophys Res Lett 32:L17403.
5. Fensholt R, Sandholt I, Rasmussen MS (2004) Evaluation of MODIS LAI, fAPAR and the relation between fAPAR and NDVI in a semiarid environment using in situ measurements. Remote Sens Environ 91:490-507.
6. Hiroki Iwata, Masahito Ueyama, Chie Iwama, Yoshinobu Harazono. A variation in the fraction of absorbed photosynthetically active radiation and a comparison with MODIS data in burned black spruce forests of interior Alaska. Polar Science 7 (2013) 113-124. http://ees.elsevier.com/polar
7. Anatoly A. Gitelson, Yi Peng, Timothy J. Arkebauer, and Andrew E. Suyker. Productivity, absorbed photosynthetically active radiation, and light use efficiency in crops: Implications for remote sensing of crop primary production. Published in Journal of Plant Physiology 177 (2015), pp. 100-109; doi 10.1016/j. jplph.2014.12.015.
8. Mo, X., Liu, S., Lin, Z., Zhao, W., 2004. Simulating temporal and spatial variation of evapotranspiration over the Luch Basin. J. Hydrol. 285 (1-4), 125-142.
9. X. Mo, S. Liu, Z. Lin, Y.Xu, Y.Xiang, T.R. McVicar. Prediction of crop yield, water consumption and water use efficiency with a SVAT-crop growth model using remotely sensed data on the North China Plain / Ecological Modeling 183 (2005) 301-322.
10. Asadov Kh.G., Abdullaeva S.N., Tarverdieva U.Kh. Sarization optimization method for holonomic information-measuring and mechatronic systems. Bulletin of PNTsPU. Electrical engineering. Informatics. Control systems”. 2020, No. 35, pp. 169-179. (in Russ)
11. Asadov H.G., Abdullaeva S.N., Tarverdieva U.Kh. Issues of optimization of isomorphic information-measuring systems. “Izvestiya Vuzov. Electromechanics. 2020, Vol.63, No.6, pp.51-56. (in Russ)
Review
For citations:
Asadov G.H., Mahmudova V.Kh. Synthesis of an optimal radiation model of plant growth according to the criterion of the minimum of integral solar radiation transmitted to the soil. Agrarian science. 2022;(5):63-66. (In Russ.) https://doi.org/10.32634/0869-8155-2022-359-5-63-66