Extracting Features from Oblique Ground-Based Multispectral Images for Monitoring Cotton Physiological Response to Nitrogen Treatments

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(4), P. 579 - 579

Published: Feb. 8, 2025

Early detection of nitrogen deficiency in cotton requires timely identification stress symptoms like leaf chlorosis (yellowing) and canopy stunting. Chlorosis initially appears older, lower-canopy leaves, which are often not visible conventional nadir-looking imaging. This study investigates oblique ground-based multispectral imaging to estimate plant height capture spectral details from the upper (UC) lower (LC) layers. Images were collected four camera pitch configurations: set 1 (30°, 2 m), (55°, 3 (68°, 4 (70°, 1.5 m). A pre-trained monocular depth estimation model (MiDaS) was used aligned RGB images an empirically derived tangential corrected for perspective distortion. Further, vertical halves plants categorized as LC UC, with vegetation indices (CIgreen, CIrededge) calculated each. The had best sharpness quality. estimates highest correlation (r = 0.64) lowest root mean squared error (RMSE 0.13 As became more oblique, alignment depth/height accuracy decreased. Also, effects object-scale ambiguity prominent high relatively low altitude images. (VIs) affected by band misalignment shadows. VIs different layers demonstrated moderate concentration, sets specifically showed differences UC no high-nitrogen treatments, respectively. However, improvements process, extensive data collection, ground-truthing needed conclude whether spectra useful early field cotton.

Language: Английский

Variable-rate nitrogen application at the flag-leaf appearing stage is effective in increasing the grain protein content of the durum wheat

Plant Production Science, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 13

Published: April 22, 2025

Language: Английский

Verification of Variable-rate Nitrogen Fertilization Using Tiller Number as a Diagnostic Reference in Wheat Cultivar ‘Sanukinoyume 2009’

Japanese Journal of Crop Science, Journal Year: 2025, Volume and Issue: 94(2), P. 125 - 134

Published: April 5, 2025

Language: Английский