Deep learning in controlled environment agriculture: A review of recent advancements, challenges and prospects
Controlled environment agriculture (CEA) is an unconventional production system that is
resource efficient, uses less space, and produces higher yields. Deep learning (DL) has …
resource efficient, uses less space, and produces higher yields. Deep learning (DL) has …
Vision systems for harvesting robots: Produce detection and localization
LE Montoya-Cavero, RD de León Torres… - … and electronics in …, 2022 - Elsevier
In the last few years, the use of artificial intelligence and technological advances such as
deep learning, new 3D-capable sensors, and edge computing embedded systems have …
deep learning, new 3D-capable sensors, and edge computing embedded systems have …
Fruit image classification model based on MobileNetV2 with deep transfer learning technique
Y Gulzar - Sustainability, 2023 - mdpi.com
Due to the rapid emergence and evolution of AI applications, the utilization of smart imaging
devices has increased significantly. Researchers have started using deep learning models …
devices has increased significantly. Researchers have started using deep learning models …
DSE-YOLO: Detail semantics enhancement YOLO for multi-stage strawberry detection
Y Wang, G Yan, Q Meng, T Yao, J Han… - Computers and electronics …, 2022 - Elsevier
Multi-stage strawberry fruits detection is one of the important clues to estimate crop yields
and assist robotic picking in modern agricultural production. However, it is difficult for …
and assist robotic picking in modern agricultural production. However, it is difficult for …
Remote sensing and machine learning in crop phenotyping and management, with an emphasis on applications in strawberry farming
Measurement of plant characteristics is still the primary bottleneck in both plant breeding
and crop management. Rapid and accurate acquisition of information about large plant …
and crop management. Rapid and accurate acquisition of information about large plant …
[HTML][HTML] Strawberry maturity classification from UAV and near-ground imaging using deep learning
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 …
strawberry maturity and monitoring strawberry growth status in the field is very critical for …
Mobile robotics platform for strawberry sensing and harvesting within precision indoor farming systems
Indoor farming is expected to have an increasing impact on future food and agricultural
systems. It can produce crops year‐round without relying on weather patterns, bringing crop …
systems. It can produce crops year‐round without relying on weather patterns, bringing crop …
Deep learning-based postharvest strawberry bruise detection under UV and incandescent light
Bruising is one of the major defects of strawberries. Strawberry bruised areas are often
visible as flattened, sunken, and discolored. Postharvest strawberries can be bruised by …
visible as flattened, sunken, and discolored. Postharvest strawberries can be bruised by …
Scaling up high-throughput phenotyping for abiotic stress selection in the field
Key message High-throughput phenotyping (HTP) is in its infancy for deployment in large-
scale breeding programmes. With the ability to measure correlated traits associated with …
scale breeding programmes. With the ability to measure correlated traits associated with …
Strawberry R-CNN: Recognition and counting model of strawberry based on improved faster R-CNN
J Li, Z Zhu, H Liu, Y Su, L Deng - Ecological Informatics, 2023 - Elsevier
Computer technology's rapid advancement has significantly enhanced global agricultural
modernization, notably improving agricultural production efficiency. Given the vulnerability of …
modernization, notably improving agricultural production efficiency. Given the vulnerability of …