Food crisis is a matter of prime importance because it becomes more severe as the global
population grows. Among the solutions to this crisis, breeding is deemed one of the most …

Preharvest crop yield prediction is critical for grain policy making and food security. Early
estimation of yield at field or plot scale also contributes to high-throughput plant phenotyping …

Non-destructive crop monitoring over large areas with high efficiency is of great significance
in precision agriculture and plant phenotyping, as well as decision making with regards to …

Canopy height (H canopy) and aboveground biomass (AGB) of crops are two basic agro-
ecological indicators that can provide important indications on the growth, light use …

Leaf area index (LAI) is a fundamental indicator of plant growth status in agronomic and
environmental studies. Due to rapid advances in unmanned aerial vehicle (UAV) and sensor …

Crop biomass estimation with high accuracy at low-cost is valuable for precision agriculture
and high-throughput phenotyping. Recent technological advances in Unmanned Aerial …

Rapid and accurate estimation of rice Nitrogen Nutrition Index (NNI) is beneficial for
management of nitrogen application in rice production. Traditional estimation methods …

Estimation of forest aboveground biomass (AGB) is crucial for various technical and
scientific applications, ranging from regional carbon and bioenergy policies to sustainable …

Climate change and population growth risk the world's food supply. Annual crop yield
production is one of the most crucial components of the global food supply. Moreover, the …

Leaf area index (LAI) is an essential vegetation parameter that represents the light energy
utilization and vegetation canopy structure. As the only in-operation hyperspectral satellite …