Abstract Machine learning has created new opportunities for data-intensive study in
interdisciplinary domains as a result of the advancement of big data technologies and high …

Soybean is a major crop that provides essential protein and oil for food and feed. Since its
origin in China over 5000 years ago, soybean has spread throughout the world, becoming …

Smart technologies are advancing, and smart cities can be made smarter by increasing the
connectivity and interactions of humans, the environment, and smart devices. This paper …

Deep learning has achieved kiwifruit detection with high accuracy and fast speed. However,
all the kiwifruits have been labeled and detected as only one class in most researches for …

Drought stress is one of the major limiting factors in soybean growth and productivity.
Canopy leaf wilting (ie fast-and slow-wilting) is considered as an important visible symptom …

Fruit detection and localization is of great significance for horticulture work and robotic
harvesting in orchards. Although the existing studies of fruit detection have achieved good …

The relationship between the plants and the environment is multitudinous and complex.
They help in nourishing the atmosphere with diverse elements. Plants are also a substantial …

Image processing technology has gained considerable attention in agricultural proximal
sensing applications, including plant disease detection, vegetation fraction estimation …

Automatic identification of individual animals is an important step in modern farm breeding.
Current best practice involves the use of RFID tags which are time-consuming for the farmer …

Computer vision technology is moving more and more towards a three-dimensional
approach, and plant phenotyping is following this trend. However, despite its potential, the …