Artificial intelligence has been incorporated into modern agriculture to increase agricultural
output and resource efficiency. Utilizing deep learning, particularly convolutional neural …

The global agricultural sector is responsible for fulfilling the food requirements of the
increasing population around the globe, alongside contributing to 28% of global …

This research aims to comprehensively analyze the most essential uses of artificial
intelligence in Aerospace Engineering. We obtained papers initially published in academic …

Maize is a globally important cereal and fodder crop. Accurate monitoring of maize planting
densities is vital for informed decision-making by agricultural managers. Compared to …

Precision agriculture is revolutionizing the management and production of agricultural crops.
The development of new technologies in agriculture, such as unmanned aerial vehicles …

In the context of increasing global food demand and the urgent need for production
processes optimization, plant protection products play a key role in safeguarding crops from …

The proposed research offers a complete method for grou** different types of artichokes in
India. It uses Convolutional Neural Networks (CNN) and Support Vector Machines (SVM). A …

The widespread adoption of Artificial Intelligence (AI)-based software technologies
supporting Unmanned Aircraft Systems (UASs) demands new validation methods to ensure …

The common thread in all my research has been the goal of finding a so-called safety region
in the input space of an inference model that allows providing probabilistic guarantees on …

Аннотация Отметили, что при использовании технологий дистанционного
зондирования и алгоритмов глубокого обучения значительно улучшаются возможности …