A review of developments in the rapidly develo** field of deep learning is presented.
Recommendations are made for original contributions to the literature, as opposed to …

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 …

Highlights•A method for rapid and accurate apple fruitlet detection before fruit thinning is
proposed.•The method is based on a state-of-the-art deep learning approach.•The model …

It is important to precisely segment apples in an orchard during the growth period to obtain
accurate growth information. However, the complex environmental factors and growth …

Accurate and early estimation of citrus yields is important for both producers and agricultural
cooperatives to be competitive and make informed decisions when selling their products …

This paper reviews the research and development of machine vision systems for fruit
detection and localization for robotic harvesting and/or crop-load estimation of specialty tree …

Abstract Development of an accurate and reliable fruit detection system is a challenging
task. There are many complex conditions in orchard environments, such as changing …

Precision agriculture is a crucial way to achieve greater yields by utilizing the natural
deposits in a diverse environment. The yield of a crop may vary from year to year depending …

This article reviews the research and development progress of mechanical harvest
technologies for fresh market apples over the past decades with a focus on the predominant …

The detection and sizing of fruits with computer vision methods is of interest because it
provides relevant information to improve the management of orchard farming. However, the …