Food is considered as a basic need of human being which can be satisfied through farming.
Agriculture not only fulfills humans' basic needs, but also considered as source of …

In the Internet-of-Things (IoT) era, billions of sensors and devices collect and process data
from the environment, transmit them to cloud centers, and receive feedback via the Internet …

The demand for intelligent agriculture is increasing due to the continuous impact of world
food and environmental crises. Focusing on fruit detection, with the rapid development of …

The rapid growth of urban populations worldwide imposes new challenges on citizens' daily
lives, including environmental pollution, public security, road congestion, etc. New …

Accurate estimation of tomato cluster yields is critical to the advancement of intelligent and
unmanned greenhouses, guiding horticultural management and adjusting sales and …

Continuing progress in machine learning (ML) has led to significant advancements in
agricultural tasks. Due to its strong ability to extract high-dimensional features from fruit …

Accurate fruit counting helps grape wine industry make better logistics and decisions before
harvest, and therefore produce higher quality wine. In view of poor real-time performance of …

Deep Learning (DL) is the state-of-the-art machine learning technology, which shows
superior performance in computer vision, bioinformatics, natural language processing, and …

The development of remote fruit detection systems able to identify and 3D locate fruits
provides opportunities to improve the efficiency of agriculture management. Most of the …

Highlights•An improved Mask R–CNN model processed by U-Net method.•Realising
instance segmentation of apple flowers in three different growth stages.•Combining growth …