Radiative transfer models (RTMs) provide reliable information about crop yield and traits
with high resource efficiency. In this study, we have conducted a systematic literature review …

Timely yield prediction is crucial for the agri-food supply chain as a whole. However,
different stakeholders in the agri-food sector require different levels of accuracy and lead …

Unmanned aerial vehicle (UAV) remote sensing was used to estimate the leaf area index
(LAI) and leaf chlorophyll content (LCC) of two hemp cultivars during two growing seasons …

Soybean is a pivotal agricultural commodity around the world, primarily because of its high
seed protein and oil concentration. Therefore, farmers, breeders and end-users are highly …

Recent technological advances have allowed the production of many studies on
evapotranspiration, resulting in improvements in reference evapotranspiration estimates and …

Miscanthus holds a great potential in the frame of the bioeconomy, and yield prediction can
help improve Miscanthus' logistic supply chain. Breeding programs in several countries are …

Remote sensing and machine learning are widely used to estimate crop yield. The use of
these technologies for yield estimation of bulbous vegetables is challenging because the …

Drought management largely depends on the availability of timely, accurate and integrated
information about its characteristics. Concurrently, biostimulants could represent a …

The amount of images that can be extracted from crops such as soybean, corn, sorghum,
etc., has increased exponentially due to the proliferation of remote sensing technologies …

Monitoring plant growth and development during cultivation to optimize resource use
efficiency is crucial to achieve an increased sustainability of agriculture systems and ensure …