The objective of this study was to provide a comprehensive overview of the recent
advancements in the use of deep learning (DL) in the agricultural sector. The author …

Deep learning (DL) is a kind of sophisticated data analysis and image processing
technology, with good results and great potential. DL has been applied to many different …

Deep learning (DL) is a robust data-analysis and image-processing technique that has
shown great promise in the agricultural sector. In this study, 129 papers that are based on …

Deep Learning has been successfully applied to image recognition, speech recognition, and
natural language processing in recent years. Therefore, there has been an incentive to …

Agriculture is the primary source of basic needs like food, raw material and fuel, which are
considered as the basic building blocks for the economic growth of any nation. Agriculture …

Abstract In recent years, Deep Learning (DL), such as the algorithms of Convolutional
Neural Networks (CNN), Recurrent Neural Networks (RNN) and Generative Adversarial …

With promising results and enormous capability, deep learning technology has attracted
more and more attention to both theoretical research and applications for a variety of image …

Smart farming is a new concept that makes agriculture more efficient and effective by using
advanced information technologies. The latest advancements in connectivity, automation …

Agriculture is the backbone of Indian economy. Most of the population of the country is
directly or indirectly dependent on agriculture. Technology can improve agricultural …

Several factors associated with disease diagnosis in plants using deep learning techniques
must be considered to develop a robust system for accurate disease management. A …