Results 141 to 150 of about 2,158 (165)

Enhancing rapeseed biomass and yield estimation with ensemble learning and synergistic multidimensional features. [PDF]

J Zhejiang Univ Sci B
Zhang Y, Chai X, Hu J, Niu Y, Xu L.
europepmc   +1 more source

Precise estimation of rice leaf macro and micro nutrients from multi-spectral images using neural architecture search with polynomial approximation functions. [PDF]

Sci Rep
Arora D, Bhattacharya J, Panigrahy C.
europepmc   +1 more source

Variability in crop responses as a function of environment affects the NDVI relationship with grain yield in wheat. [PDF]

Plant Phenomics
Paiboonvorachat C, Rajagopalan K, Pumphrey MO, Carter AH, Zhang C, Sangjan W, Sankaran S.   +6 more
europepmc   +1 more source

UAV Multispectral Remote Sensing for Rice Leaf Blast Severity Grading Using an Improved 1DCNN-Transformer Ensemble Model. [PDF]

Plants (Basel)
Liang X, Song Q, Lian H, Pang B, Zhang H, Guo F, Zang Y, Cao Y.   +7 more
europepmc   +1 more source

Soil total nitrogen prediction based on multi-temporal synthetic Sentinel-2 images under different land use types. [PDF]

Sci Rep
Ouyang YL, Wu W, Liu HB.
europepmc   +1 more source

Characterization of Hazelnut Trees in Open Field Through High-Resolution UAV-Based Imagery and Vegetation Indices. [PDF]

Sensors (Basel)
Morisio M, Noris E, Pagliarani C, Pavone S, Moine A, Doumet J, Ardito L.   +6 more
europepmc   +1 more source

YOLO-ACBG: an enhanced deep learning model for precision monitoring of wheat stripe rust using different vegetation indices. [PDF]

Front Plant Sci
Yu F, Tang X, Liu Q, Maimaiti M, Chen J.
europepmc   +1 more source

Simulation of long-term spatio-temporal environmental dynamics using a unified benchmark of neighbor augmenting, LSTM and graph attention models. [PDF]

Sci Rep
Karimadini K, Pourebrahim S.
europepmc   +1 more source

UAV-Based Spectral and Thermal Indices in Precision Viticulture: A Review of NDVI, NDRE, SAVI, GNDVI, and CWSI

Agronomy
Unmanned aerial vehicles (UAVs) with multispectral sensors are transforming precision viticulture by enabling detailed monitoring of vineyard variability.
Francisco Rojo, Fernando Salazar, Sebastián M. Pizarro-Oteíza   +2 more
exaly   +2 more sources

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Estimation of Productivity and Above-Ground Biomass for Corn (Zea mays) via Vegetation Indices in Madeira Island

Agriculture (Switzerland), 2023
Humberto Nóbrega, Carla Ragonezi, Pinheiro de Carvalho   +2 more
exaly