Recent advances in computer vision have allowed broad applications in every area of life,
and agriculture is not left out. For the agri‐food industry, the use of advanced technology is …

Deep learning (DL) represents the golden era in the machine learning (ML) domain, and it
has gradually become the leading approach in many fields. It is currently playing a vital role …

In agriculture, plant diseases are primarily responsible for the reduction in production which
causes economic losses. In plants, citrus is used as a major source of nutrients like vitamin …

Smart farming employs intelligent systems for every domain of agriculture to obtain
sustainable economic growth with the available resources using advanced technologies …

Strawberry is ranked third in the value of production of the crops in Florida, USA. Classifying
strawberry maturity and monitoring strawberry growth status in the field is very critical for …

Three-dimensional high throughput plant phenotyping techniques provide an opportunity to
measure plant organ-level traits which can be highly useful to plant breeders. The number …

Automatic detection of intact tomatoes on plants is highly expected for low-cost and optimal
management in tomato farming. Mature tomato detection has been wildly studied, while …

The detection of disease development in plants becomes very crucial because of its adverse
effect on the quality and productivity of agriculture. The automatic disease detection in plants …

Automated crop monitoring using image analysis is commonly used in horticulture. Image-
processing technologies have been used in several studies to monitor growth, determine …

Yield estimation is an essential preharvest practice among most large-scale farming
companies, since it enables the predetermination of essential logistics to be allocated (ie …