Agriculture is the basis of every economy worldwide. Crop production is one of the major
factors affecting domestic market condition in any country. Agricultural production is also a …

Crop row detection is one of the foundational and pivotal technologies of agricultural robots
and autonomous vehicles for navigation, guidance, path planning, and automated farming in …

Machine vision for precision agriculture has attracted considerable research interest in
recent years. The aim of this paper is to review the most recent work in the application of …

Within aquaculture industries, selection based on genomic information (genomic selection)
has the profound potential to change genetic improvement programs and production …

Efficiency increase of resources through automation of agriculture requires more information
about the production process, as well as process and machinery status. Sensors are …

The excellent stretchability and biocompatibility of flexible sensors have inspired an
emerging field of plant wearables, which enable intimate contact with the plants to …

In this paper we propose a benchmark dataset for crop/weed discrimination, single plant
phenoty** and other open computer vision tasks in precision agriculture. The dataset …

Crops were the main source of human food, which have met the increasingly diversified
demand of consumers. Sensors were used to monitor crop phenotypes and environmental …

Background The color of crop leaves is closely correlated with nitrogen (N) status and can
be quantified easily with a digital still color camera and image processing software. The …

Crop productivity is readily reduced by competition from weeds. It is particularly important to
control weeds early to prevent yield losses. Limited herbicide choices and increasing costs …