Journal of Plant Nutrition, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 21
Published: May 5, 2025
Language: Английский
Journal of Plant Nutrition, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 21
Published: May 5, 2025
Language: Английский
Sensors, Journal Year: 2025, Volume and Issue: 25(7), P. 2198 - 2198
Published: March 31, 2025
Chlorophyll levels are a key indicator of plant nitrogen status, which plays critical role in optimizing agricultural yields. This study evaluated the performance three low-cost multi-spectral sensors, AS7262, AS7263, and AS7265x, for non-destructive chlorophyll measurement. Measurements were taken from diverse set five leaf types, including smooth, uniform leaves (banana mango), textured (jasmine sugarcane), narrow (rice). Partial least squares regression models used to fit sensor spectra levels, using nested cross-validation ensure robust model evaluation. Sensor was assessed R2 mean absolute error (MAE) scores. The AS7265x demonstrated best on with validation scores 0.96-0.95. Its decreased other leaves, 0.75-0.85. AS7262 AS7263 while slightly less accurate, achieved reasonable ranging 0.93 0.86 smooth 0.85 0.73 leaves. All particularly show potential measurement applications. Their low cost accuracy make them suitable applications such as monitoring levels.
Language: Английский
Citations
0International Journal of Plant Production, Journal Year: 2025, Volume and Issue: unknown
Published: April 14, 2025
Language: Английский
Citations
0Journal of Plant Nutrition, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 21
Published: May 5, 2025
Language: Английский
Citations
0