Fruit detection and localization are essential for future agronomic management of fruit crops
such as yield prediction, yield mapping and automated harvesting. However, to perform …

Orchard pre-harvest yield data is important for fruit growers, which can be used for economic
benefit evaluation, management mode adjustment and so on. However, traditional manual …

This review reports the recent state of the art in the field of mobile robots applied to precision
agriculture. After a brief introduction to precision agriculture, the review focuses on two main …

Numerous sensors have been developed over time for precision agriculture; though, only
recently have these sensors been incorporated into the new realm of unmanned aircraft …

A prediction method of mass and volume of cherry tomato based on a computer vision
system and machine learning algorithms were introduced in this study. The relation between …

Plant phenotyping, that is, the quantitative assessment of plant traits including growth,
morphology, physiology, and yield, is a critical aspect towards efficient and effective crop …

Precision Agriculture is a cyclic optimization process where data have to be collected from
the field, analysed and evaluated and finally used for decision making for site-specific …

Agricultural production must double by 2050 in order to meet the expected food demand due
to population growth. Precision agriculture is the key to improve productivity and efficiency in …

Several variables, including a rising human population, varying weather patterns in the
context of ongoing climate change, and the rapid worldwide spread of epidemics, all …

Phenotyping is the task of measuring plant attributes for analyzing the current state of the
plant. In agriculture, phenotyping can be used to make decisions concerning the …