UAV-based multi-sensor data fusion and machine learning algorithm for yield prediction in wheat

S Fei, MA Hassan, Y **
C Nguyen, V Sagan, S Bhadra, S Moose - Sensors, 2023 - mdpi.com
Recent advances in unmanned aerial vehicles (UAV), mini and mobile sensors, and GeoAI
(a blend of geospatial and artificial intelligence (AI) research) are the main highlights among …

Combining novel feature selection strategy and hyperspectral vegetation indices to predict crop yield

S Fei, L Li, Z Han, Z Chen, Y **ao - Plant Methods, 2022 - Springer
Background Wheat is an important food crop globally, and timely prediction of wheat yield in
breeding efforts can improve selection efficiency. Traditional yield prediction method based …

Spectroscopic determination of chlorophyll content in sugarcane leaves for drought stress detection

J Gai, J Wang, S **e, L **ang, Z Wang - Precision Agriculture, 2024 - Springer
Drought is a major abiotic stress that affects the productivity of sugarcane worldwide. Water
deficiency during sugarcane growth will lead to a reduction in leaf pigment content, such as …

[HTML][HTML] Hyperspectral estimation of wheat stripe rust using fractional order differential equations and Gaussian process methods

J Zhang, X **g, X Song, T Zhang, WN Duan… - … and Electronics in …, 2023 - Elsevier
Wheat stripe rust is the main cause of yield loss in winter wheat. For nondestructive
monitoring of wheat stripe rust by remote sensing, a high-precision stripe rust monitoring …

Combining fractional derivatives and machine learning: A review

S Raubitzek, K Mallinger, T Neubauer - Entropy, 2022 - mdpi.com
Fractional calculus has gained a lot of attention in the last couple of years. Researchers
have discovered that processes in various fields follow fractional dynamics rather than …