CONTEXT Mapping crop types from satellite images is a promising application in
agricultural systems. However, it is a challenge to automate in-season crop type mapping …

The speedy development of UAV (Unmanned Aerial Vehicle) has provided more data
choices for crop yield estimation. In most cases, spectral information derived from …

Abstract Information provided by satellite data is becoming increasingly important in the field
of agriculture. Estimating biomass, nitrogen content or crop yield can improve farm …

Yield calculation is an important link in modern precision agriculture that is an effective
means to improve breeding efficiency and to adjust planting and marketing plans. With the …

Abstract Machine learning approaches have been widely used for crop yield modelling and
yield forecasting but there has been limited application to understanding site-specific yield …

Durum wheat (Triticum durum Desf.) is one of the most widely cultivated cereal species in
the Mediterranean basin, supporting pasta, bread and other typical food productions …

Dataset quality heavily impacts the predictive performance of data-driven modelling. This
issue can be exacerbated in the prediction of agricultural production due to the complex …

Preharvest crop yield estimation is crucial for achieving food security and managing crop
growth. Unmanned aerial vehicles (UAVs) can quickly and accurately acquire field crop …

A sufficiently early and accurate prediction can help to steer crop yields more consciously,
resulting in food security, especially with an expanding world population. Additionally …

Accurate pre-harvest yield forecasting of mango is essential to the industry as it supports
better decision making around harvesting logistics and forward selling, thus optimizing …