Advancements in neural network and fuzzy modelling approaches are transforming soil and crop management, offering highly adaptable computational frameworks to address the intricate challenges of ...

Crop yield can be maximized when the best genetic variety and most effective crop management practices are used for cultivation. Scientists have developed various machine learning models to predict ...

Crop nutrition and quality formation are complex processes influenced by genotype, environment, and management practices.

In a pioneering study, researchers from China Agricultural University have introduced ClimID-UDA, an unsupervised domain adaptation method that uses climate indicators to significantly improve crop ...

Recognizing the importance for adaptation to the climate change impact on water resources, the IAEA has developed guidelines and recommendations on the selection and application of isotope-enabled ...