Due to current global population growth, resource shortages, and climate change, traditional
agricultural models face major challenges. Precision agriculture (PA), as a way to realize the …

Integrating advanced technologies such as artificial intelligence (AI) with traditional
agricultural practices has changed how activities are developed in agriculture, with the aim …

Accurate and real-time monitoring of soil moisture content (SMC) is of utmost importance for
effective field irrigation and maximizing crop water productivity. However, a comprehensive …

Aboveground biomass (AGB) is a crucial physiological parameter for monitoring crop
growth, assessing nutrient status, and predicting yield. Texture features (TFs) derived from …

Plant nitrogen content (PNC) is vital for evaluating crop nitrogen nutrient status and for net
primary productivity. Therefore, rapid and accurate acquisition of crop PNC information can …

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 …

Efficient and accurate spraying of cotton defoliant is a vital part of cotton production; the
traditional way of spraying cotton defoliant will cause waste of pesticides and environmental …

Leaf age is an essential parameter for describing the growth stage of crop. Thus,
agronomists can develop timely cultivation strategies to promote maize growth according to …

The Leaf Area Index (LAI) strongly influences vegetation evapotranspiration and
photosynthesis rates. Timely and accurately estimating the LAI is crucial for monitoring …

The Leaf Area Index (LAI) is a crucial structural parameter linked to the photosynthetic
capacity and biomass of crops. While integrating machine learning algorithms with spectral …