Abstract The Internet of Things (IoT) is an evolving paradigm that seeks to connect different
smart physical components for multi-domain modernization. To automatically manage and …

Agriculture plays an important role in sustaining all human activities. Major challenges such
as overpopulation, competition for resources poses a threat to the food security of the planet …

Machine learning has emerged with big data technologies and high-performance computing
to create new opportunities for data intensive science in the multi-disciplinary agri …

Due to the world's rapid population expansion, the demand for food is anticipated to
increase significantly during the coming decade. Traditional farming practices cannot meet …

The application of machine learning (ML) techniques in various fields of science has
increased rapidly, especially in the last 10 years. The increasing availability of soil data that …

Recent advancements and major breakthroughs in machine learning (ML) technologies in
the past decade have made it possible to collect, analyze, and interpret an unprecedented …

Agriculture is by its nature a complicated scientific field, related to a wide range of expertise,
skills, methods and processes which can be effectively supported by computerized systems …

The development of analytical and computational techniques and growing scientific funds
collectively contribute to the rapid accumulation of geoscience data. The massive amount of …

Convolutional neural networks, as a type of deep learning approach, have revolutionized
the field of computer vision and pattern recognition through state of the art performance in a …

Weeds are among the significant factors that could harm crop yield by invading crops and
smother pastures, and significantly decrease the quality of the harvested crops. Herbicides …