Empowering agrifood system with artificial intelligence: A survey of the progress, challenges and opportunities

T Chen, L Lv, D Wang, J Zhang, Y Yang, Z Zhao… - ACM Computing …, 2024 - dl.acm.org
With the world population rapidly increasing, transforming our agrifood systems to be more
productive, efficient, safe, and sustainable is crucial to mitigate potential food shortages …

Evaluating soil moisture content under maize coverage using UAV multimodal data by machine learning algorithms

Y Zhang, W Han, H Zhang, X Niu, G Shao - Journal of Hydrology, 2023 - Elsevier
Timely and accurate estimation of soil moisture content (SMC) is essential for precise
irrigation management at the farm scale. Unmanned aerial vehicle (UAV) remote sensing …

[HTML][HTML] Advanced technologies of soil moisture monitoring in precision agriculture

X Zhang, G Feng, XR Sun - Journal of Agriculture and Food Research, 2024 - Elsevier
Facing the dual challenges of limited natural resources, particularly water, and increasing
demands for food security, the role of precision agriculture has become increasingly critical …

Incremental learning for crop growth parameters estimation and nitrogen diagnosis from hyperspectral data

R Du, J Chen, Y **ang, Z Zhang, N Yang… - … and electronics in …, 2023 - Elsevier
Nitrogen is an essential nutrient in crop growth cycle and directly affects the photosynthesis
of crops. The leaf chlorophyll content (LCC) and leaf area index (LAI) are important for …

A survey of unmanned aerial vehicles and deep learning in precision agriculture

D Wang, M Zhao, Z Li, S Xu, X Wu, X Ma… - European Journal of …, 2025 - Elsevier
In the wake of significant advances in agronomy, biology, informatics, agricultural robots
(Agri-robots), and artificial intelligence, modern agriculture is transforming from labor …

Improving UAV hyperspectral monitoring accuracy of summer maize soil moisture content with an ensemble learning model fusing crop physiological spectral …

H Liu, J Chen, Y **ang, H Geng, X Yang, N Yang… - European Journal of …, 2024 - Elsevier
Soil moisture content (SMC) acquisition is vital for crop stress diagnosis and precision
irrigation. However, UAV remote sensing-based SMC monitoring usually suffers from low …

[HTML][HTML] Integrating UAV hyperspectral data and radiative transfer model simulation to quantitatively estimate maize leaf and canopy nitrogen content

J Li, Y Ge, LA Puntel, DM Heeren, G Bai… - International Journal of …, 2024 - Elsevier
Crop nitrogen (N) content reflects crop nutrient status and plays an important role in
precision nutrient management. Accurate crop N content estimation from remote sensing …

[PDF][PDF] Estimation of soil moisture for different crops using SAR polarimetric data

K Kanmani, P Vasanthi, P Pari, NS Shafeer Ahamed - Civ Eng J, 2023 - core.ac.uk
Soil moisture is an essential factor that influences agricultural productivity and hydrological
processes. Soil moisture estimation using field detection methods takes time and is …

A critical review on multi-sensor and multi-platform remote sensing data fusion approaches: current status and prospects

F Samadzadegan, A Toosi… - International Journal of …, 2024 - Taylor & Francis
Numerous remote sensing (RS) systems currently collect data about Earth and its
environments. However, each system provides limited data in terms of spatial resolution …

Hybrid inversion of radiative transfer models based on topographically corrected Landsat surface reflectance improves leaf area index and aboveground biomass …

S Peng, Z Wang, X Lu, X Liu - International Journal of Digital Earth, 2024 - Taylor & Francis
Accurate monitoring of the leaf area index (LAI) and aboveground biomass (AGB) using
remote sensing at a fine scale is crucial for understanding the spatial heterogeneity of …