•  
  •  
 

Turkish Journal of Agriculture and Forestry

Abstract

This study investigates the impact of long-term fertilization modes on crop health and productivity using unmanned aerial vehicle (UAV)-assisted monitoring and a Q-learning-based approach for optimized fertilization strategies. An approximate state-matching Q-learning algorithm was developed to improve the efficiency of agricultural UAVs in fertilization tasks. The spatiotemporal patterns of cultivated land productivity under different fertilization regimes were analyzed in a long-term experiment. An evaluation system for cultivated land health productivity was established. The results indicated that the Q-learning algorithm enabled UAVs to achieve efficient task completion. QLASM outperformed traditional methods on all metrics. QLASM achieved a 92% task completion rate within the target time frame, outperforming deep Q-networks (78%) and rule-based algorithms (65%). Long-term fertilization, especially with organic fertilizer, had a positive impact on soil health and cultivated land productivity. Total irrigation plus organic fertilizer plus green manure reduced irrigation needs by 8–12% by increasing soil organic matter and water holding capacity. The average healthy production capacity was significantly lower in the control group compared to other fertilizer models. Balanced fertilizer application and the long-term use of organic fertilizers are recommended to improve yield and maintain the healthy productivity of cultivated land, which is the basis for sustainable agricultural management.

Author ORCID Identifier

KEJUN WANG: 0009-0004-1659-5691

DOI

10.55730/1300-011X.3323

Keywords

Fertilization, healthy productivity of cultivated land, vegetation index time series, UAV, QLSAM algorithm

First Page

1040

Last Page

1055

Publisher

The Scientific and Technological Research Council of Türkiye (TÜBİTAK)

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Download

Share

COinS