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Calibrating ultrasonic sensor measurements of crop canopy heights: a case study of maize and wheat.
Zheng, Yudong; Hui, Xin; Cai, Dongyu; Shoukat, Muhammad Rizwan; Wang, Yunling; Wang, Zhongwei; Ma, Feng; Yan, Haijun.
Afiliación
  • Zheng Y; College of Water Resources and Civil Engineering, China Agricultural University, Beijing, China.
  • Hui X; Institute of Dryland Farming, Hebei Academy of Agriculture and Forestry Sciences, Key Laboratory of Crop Drought Resistance Research of Hebei Province, Hengshui, Hebei, China.
  • Cai D; College of Water Resources and Civil Engineering, China Agricultural University, Beijing, China.
  • Shoukat MR; College of Resources and Environmental Sciences, China Agricultural University, Beijing, China.
  • Wang Y; Hebei Science and Technology Innovation Service Center, Shijiazhuang, Hebei, China.
  • Wang Z; College of Water Resources and Civil Engineering, China Agricultural University, Beijing, China.
  • Ma F; College of Water Resources and Civil Engineering, China Agricultural University, Beijing, China.
  • Yan H; College of Animal Science and Technology, Hebei Agricultural University, Baoding, Hebei, China.
Front Plant Sci ; 15: 1354359, 2024.
Article en En | MEDLINE | ID: mdl-38903436
ABSTRACT
Canopy height serves as an important dynamic indicator of crop growth in the decision-making process of field management. Compared with other commonly used canopy height measurement techniques, ultrasonic sensors are inexpensive and can be exposed in fields for long periods of time to obtain easy-to-process data. However, the acoustic wave characteristics and crop canopy structure affect the measurement accuracy. To improve the ultrasonic sensor measurement accuracy, a four-year (2018-2021) field experiment was conducted on maize and wheat, and a measurement platform was developed. A series of single-factor experiments were conducted to investigate the significant factors affecting measurements, including the observation angle (0-60°), observation height (0.5-2.5 m), observation period (800-1800), platform moving speed with respect to the crop (0-2.0 m min-1), planting density (0.2-1 time of standard planting density), and growth stage (maize from three-leaf to harvest period and wheat from regreening to maturity period). The results indicated that both the observation angle and planting density significantly affected the results of ultrasonic measurements (p-value< 0.05), whereas the effects of other factors on measurement accuracy were negligible (p-value > 0.05). Moreover, a double-input factor calibration model was constructed to assess canopy height under different years by utilizing the normalized difference vegetation index and ultrasonic measurements. The model was developed by employing the least-squares method, and ultrasonic measurement accuracy was significantly improved when integrating the measured value of canopy heights and the normalized difference vegetation index (NDVI). The maize measurement accuracy had a root mean squared error (RMSE) ranging from 81.4 mm to 93.6 mm, while the wheat measurement accuracy had an RMSE from 37.1 mm to 47.2 mm. The research results effectively combine stable and low-cost commercial sensors with ground-based agricultural machinery platforms, enabling efficient and non-destructive acquisition of crop height information.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Plant Sci Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Plant Sci Año: 2024 Tipo del documento: Article País de afiliación: China
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