The agriculture industry is undergoing a rapid digital transformation and is growing powerful
by the pillars of cutting-edge approaches like artificial intelligence and allied technologies …

Computer vision is a field that involves making a machine “see”. This technology uses a
camera and computer instead of the human eye to identify, track and measure targets for …

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 …

Emerging technologies such as computer vision and Artificial Intelligence (AI) are estimated
to leverage the accessibility of big data for active training and yielding operational real time …

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 …

In animal agriculture, deep learning-based approaches have been widely implemented as a
decision support tool for precision farming. Several deep learning models have been …

Precision agriculture is a crucial way to achieve greater yields by utilizing the natural
deposits in a diverse environment. The yield of a crop may vary from year to year depending …

The human population has been increasing exponentially and is estimated that the total
population will be at 8.6 billion by mid-2030. This tremendous rise in population will demand …

During the last few years, Unmanned Aerial Vehicles (UAVs) technologies are widely used
to improve agriculture productivity while reducing drudgery, inspection time, and crop …

Deep learning constitutes a recent, modern technique for image processing and data
analysis, with promising results and large potential. As deep learning has been successfully …