User profiles for Ziheng Feng
Ziheng FengUniversity of New South Wales Verified email at student.unsw.edu.au Cited by 574 |
[HTML][HTML] Dynamic UAV data fusion and deep learning for improved maize phenological-stage tracking
Z Feng, J Zhao, L Suo, H Sun, H Long, H Yang, X Song… - The Crop Journal, 2025 - Elsevier
Near real–time maize phenology monitoring is crucial for field management, cropping
system adjustments, and yield estimation. Most phenological monitoring methods are post–…
system adjustments, and yield estimation. Most phenological monitoring methods are post–…
Real-time monitoring of maize phenology with the VI-RGS composite index using time-series UAV remote sensing images and meteorological data
Z Feng, Z Cheng, L Ren, B Liu, C Zhang, D Zhao… - … and Electronics in …, 2024 - Elsevier
Real-time crop phenological information can provide crucial guidance for field management,
agricultural machinery scheduling, and other agricultural activities. However, in previous …
agricultural machinery scheduling, and other agricultural activities. However, in previous …
Multi‐interface engineering of MXenes for self‐powered wearable devices
Self‐powered wearable devices with integrated energy supply module and sensitive
sensors have significantly blossomed for continuous monitoring of human activity and the …
sensors have significantly blossomed for continuous monitoring of human activity and the …
Atmospheric water sorption–desorption as a pathway for green energy generation
Beyond the indispensable resource for living creatures, water has recently been explored
as an eco‐friendly source of energy, known as the hydrovoltaic technology. Of significant …
as an eco‐friendly source of energy, known as the hydrovoltaic technology. Of significant …
Two-dimensional nanomaterials for moisture-electric generators: a review
As an emerging candidate for a sustainable power supply, moisture-electric generators (MEGs)
have attracted great attention in recent years. Unlike the conventional hydroelectric …
have attracted great attention in recent years. Unlike the conventional hydroelectric …
[HTML][HTML] Spectroscopic detection of wheat yellow mosaic virus infection based on invariant shape spectral processing and machine learning
Z Feng, X Ding, H Zhang, L He, J Duan, X Ma… - Ecological …, 2023 - Elsevier
Wheat yellow mosaic disease (WYMD) is a low-temperature soil-borne disease that causes
serious yield and economic losses. Reflectance spectroscopy has great potential for …
serious yield and economic losses. Reflectance spectroscopy has great potential for …
Recent development of moisture‐enabled‐electric nanogenerators
Power generation by converting energy from the ambient environment has been considered
a promising strategy for developing decentralized electrification systems to complement the …
a promising strategy for developing decentralized electrification systems to complement the …
Constructing water‐retaining/ion‐regulating bi‐layers for highly durable, all‐climate, efficient moisture electric generators
Moisture electric generators (MEGs), which can directly convert chemical energy in moisture
into electricity have demonstrated great potential for powering wearable electronics and IoT …
into electricity have demonstrated great potential for powering wearable electronics and IoT …
Refining water body extraction by remote sensing with deep learning models: exploring different band combinations
Satellite-based remote sensing is essential for monitoring water resources and supporting
ecological conservation and sustainable development. However, complex scenarios, such as …
ecological conservation and sustainable development. However, complex scenarios, such as …
Ranking model averaging: Ranking based on model averaging
Ranking problems are commonly encountered in practical applications, including order priority
ranking, wine quality ranking, and piston slap noise performance ranking. The responses …
ranking, wine quality ranking, and piston slap noise performance ranking. The responses …