… entered also the domain of agriculture. In this paper, we … deep learning techniques, applied
to various agricultural and food production challenges. We examine the particular agricultural …

… Deep learning (DL) incorporates a modern technique for … Deep learning is a recent tool
in the agricultural domain, being … deep learning techniques applied to various agricultural …

… Therefore, this section introduces the application of DL in dense scenes in agriculture. Table
2 shows the applications of deep learning networks in dense images in different agricultural …

… of AI and deep learning in agriculture and its future potential. We also investigated the
agricultural parameters monitored by IoTs and used them to feed the deep learning algorithms for …

… Research on DL applications in agriculture is summarized … in agriculture to better understand
DL algorithms and learn major … in agriculture, and thus promote DL applications effectively. …

… to both theoretical research and applications for a variety of image … deep learning techniques
to the agriculture domain. Different types of deep neural network architectures in agriculture …

… reviewed the application of DL in agriculture. Several relevant … successfully utilized in the
agricultural sector. Researchers … an application that has a direct connection to agriculture and …

… Then, we discuss the topic of deep learning methods for remote mapping. Finally, we
compare the functionality of our approach against existing solutions and classifiers. …

… Abstract: Agriculture is essential for the economy … deep neural network and contour
feature-based approach to classify fruits and their diseases. A fine-tuned, pretrained deep learning …

… Deep learning, which is of great interest in the field of artificial intelligence, has come to the
… studies on deep learning and machine learning in agriculture applications were examined. …