Research on multi-algorithm fusion and comparison of intelligent farmland planting strategies based on BRBMO-BiLSTM-KAN model prediction data

Rongsheng Chen

doi:10.54097/7m8eat10

Authors

Rongsheng Chen

DOI:

https://doi.org/10.54097/7m8eat10

Keywords:

Cluster analysis; BRBMO-BiLSTM-KAN model; simulated annealing algorithm; Lungs performance-based optimization (LPO).

Abstract

Intelligent farmland planting strategy is an important topic of intelligent planting. In order to improve the adaptability and accuracy of the strategy in the complex market environment, this paper generated simulated data based on the macro data of the National Bureau of Statistics of China, used BRBMO-BiLSTM-KAN to predict the expected sales volume and carried out cluster analysis, and then adopted the simulated annealing algorithm to obtain the crop planting strategy. Finally, a comprehensive evaluation model based on Entropy Weight-Grey Relation-TOPSIS was used to compare the crop planting strategies obtained by the LPO algorithm under dynamic environment.The results show that the model successfully improves the adaptability and accuracy of intelligent farmland planting strategy in complex market environment, and provides strong technical support for intelligent planting.

Downloads

Download data is not yet available.

References

[1] IDOJE G, DAGIUKLAS T, IQBAL M. Survey for smart farming technologies: Challenges and issues [J].Computers & Electrical Engineering, 2021, 92

[2] LI Li, LI Minzan, LIU Gang, ZHANG Man, WANG Maohua. Goals, key technologies, and regional models of smart farming for field crops in China [J]. Smart Agriculture, 2022, 4(4): 26-34.

[3] Liu Z, Wang Y, and Vaidya S, et al. Kan: Kolmogorov-arnold networks [J]. arxiv preprint arxiv:2404.19756, 2024.

[4] Han X, Zhang X, Wu Y, et al. KAN4TSF: Are KAN and KAN-based models Effective for Time Series Forecasting? [J]. arxiv preprint arxiv: 2408.11306, 2024.

[5] Fu S, Li K , Huang H ,et al.Red-billed blue magpie optimizer: a novel metaheuristic algorithm for 2D/3D UAV path planning and engineering design problems[J].Artificial Intelligence Review, 2024, 57(6).

[6] Guillot J, Restrepo-Leal D, Carlos Robles-Algarín, et al. computation search for global maxima in multimodal functions by applying numerical optimization algorithms: a comparison between golden section and simulated annealing [J].Springer US, 2019

[7] Ghasemi M, Zare M, Zahedi A, et al. Optimization based on performance of lungs in body: Lungs performance-based optimization (LPO) [J]. Computer Methods in Applied Mechanics and Engineering, 2024, 419: 116582.

[8] HAN Zhipeng, LI Weiguang, FENG Yingying, HUANG Lanxin, NIUJing. Research on the scientific ratio and marketing status of crops [J].Intelligent Computer and Applications, 2021, 11(11):153-156.

[9] Guoe Li.Effects of Soil Heterogeneity and SpeciesComposition on Biomass and Competitiveability of Three Forages [D] Lanzhou University, 2023.

[10] P. N. Ghare, G. F. Schrader. A model for exponentially decaying inventories [J]. Journal of Industrial Engineering, 1963, 15: 238-243.