The agricultural sector remains a key contributor to the Moroccan economy, representing
about 15% of gross domestic product (GDP). Disease attacks are constant threats to …

Accurate and timely wheat yield prediction is of great importance to global food security.
Early prediction of wheat yield at a field scale is essential for site-specific precision …

The appearance of pest insects can lead to a loss in yield if farmers do not respond in a
timely manner to suppress their spread. Occurrences and numbers of insects can be …

Application of chemical mutagens is used for artificially induced in vitro mutation to develop
new cultivars with elite characteristics. However, the optimization of selecting proper …

Machine learning (ML) has been widely used worldwide to develop crop yield forecasting
models. However, it is still challenging to identify the most critical features from a dataset …

The growing global requirement for food and the need for sustainable farming in an era of a
changing climate and scarce resources have inspired substantial crop yield prediction …

Pre-harvest estimate of sugarcane production is required by sugar mill officials for proper
planning about intra or inter-regional trading of sugarcane if expected production is more or …

Fall dormancy (FD) is an essential trait to overcome winter damage and for alfalfa (Medicago
sativa) cultivar selection. The plant regrowth height after autumn clipping is an indirect way …

The rainfed rice crop monitoring and yield prediction have been Herculean task with optical
remote sensing systems operation under cloud cover. The free-of-cost sentinel 1 based SAR …

Context Crop yield prediction is a complex task with nonlinear relationships due to its
dependence on multiple factors such as polygenic traits, environmental effects, genetics and …