As the global population continues to increase, projected to reach an estimated 9.7 billion
people by 2050, there will be a growing demand for food production and agricultural …

The integration of unmanned aerial vehicles (UAVs) with artificial intelligence (AI) and
machine learning (ML) has fundamentally transformed precision agriculture by enhancing …

Images of key phenological periods play a vital role in agricultural applications as they
capture the unique spectral characteristics of crops. Unfortunately, acquiring high-spatial …

Optical unmanned aerial vehicle (UAV) remote sensing is widely prevalent to estimate crop
aboveground biomass (AGB). Nevertheless, limited knowledge of the UAV flight height …

Leaf chlorophyll content is crucial for monitoring plant growth and photosynthetic capacity.
The Soil and Plant Analysis Development (SPAD) values are widely utilized as a relative …

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

A non-destructive, convenient, and low-cost yield estimation at the field scale is vital for
precision farming. Significant progress has been made in using UAV-based canopy features …

Optimizing the prediction of maize (Zea mays L.) yields in smallholder farming systems
enhances crop management and thus contributes to reducing hunger and achieving one of …

Red crown rot (RCR) is a soil-borne disease that damages soybean growth and decreases
yield. Infected plants show earlier defoliation and pencil-like roots, sometimes resulting in …

Precision agricultural (PrA) technology relies on the utilization of special equipment to
access real time observations on plant health status, chlorophyll, nitrogen content, and soil …