[HTML][HTML] Research on the Inversion of Key Growth Parameters of Rice Based on Multisource Remote Sensing Data and Deep Learning

J Li, J Lu, H Fu, W Zou, W Zhang, W Yu, Y Feng - Agriculture, 2024 - mdpi.com
This study accurately inverts key growth parameters of rice, including Leaf Area Index (LAI),
chlorophyll content (SPAD) value, and height, by integrating multisource remote sensing …

Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization

SB Dhal, D Kar - MDPI Forecasting, 2024 - osti.gov
Global food security is under significant threat from climate change, population growth, and
resource scarcity. This review examines how advanced AI-driven forecasting models …

[PDF][PDF] The Early Prediction of Kimchi Cabbage Heights Using Drone Imagery and the Long Short-Term Memory (LSTM) Model

S Go, J Park - Drones, 2024 - preprints.org
This study introduces a novel method for early prediction of Kimchi cabbage (Brassica rapa
subsp. pekinensis (Lour.) Hanelt) height, utilizing drone imagery and a long short-term …

AQUASENSE: aquaculture water quality monitoring framework using autonomous sensors

M Iniyan Arasu, S Subha Rani, K Thiyagarajan… - Aquaculture …, 2024 - Springer
Aquaculture is an important economic and food source in many countries. Due to
environmental restrictions and the effects of aquatic diseases, aquaculture requires a lot of …

[HTML][HTML] Modeling Sea Level Rise Using Ensemble Techniques: Impacts on Coastal Adaptation, Freshwater Ecosystems, Agriculture and Infrastructure

SB Dhal, R Singh, T Pandey, S Dey, S Kalafatis… - Analytics, 2024 - mdpi.com
Sea level rise (SLR) is a crucial indicator of climate change, primarily driven by greenhouse
gas emissions and the subsequent increase in global temperatures. The impact of SLR …