Rapid Detection and Quantification of Patulin and Citrinin Contamination in Fruits [PDF]
Molecules, 2021 Patulin (PAT) and citrinin (CTN) are the most common mycotoxins produced by Penicillium and Aspergillus species and are often associated with fruits and fruit by-products. Hence, simple and reliable methods for monitoring these toxins in foodstuffs are required for regular quality assessment. In this study, we aimed to establish a cost-effective method
Omer Barda +5 more
openaire +3 more sources
A Method of Segmenting Apples Based on Gray-Centered RGB Color Space
Remote Sensing, 2021 In recent years, many agriculture-related problems have been evaluated with the integration of artificial intelligence techniques and remote sensing systems.
Pan Fan +6 more
doaj +1 more source
A pipeline for multiple orange detection and tracking with 3-D fruit relocalization and neural-net based yield regression in commercial citrus orchards [PDF]
arXiv, 2023 Traditionally, sweet orange crop forecasting has involved manually counting fruits from numerous trees, which is a labor-intensive process. Automatic systems for fruit counting, based on proximal imaging, computer vision, and machine learning, have been considered a promising alternative or complement to manual counting.
arxiv
YOLO-P: An efficient method for pear fast detection in complex orchard picking environment
Frontiers in Plant Science, 2023 IntroductionFruit detection is one of the key functions of an automatic picking robot, but fruit detection accuracy is seriously decreased when fruits are against a disordered background and in the shade of other objects, as is commmon in a complex ...
Han Sun, Bingqing Wang, Jinlin Xue
doaj +1 more source
Yield Evaluation of Citrus Fruits based on the YoloV5 compressed by Knowledge Distillation [PDF]
arXiv, 2022 In the field of planting fruit trees, pre-harvest estimation of fruit yield is important for fruit storage and price evaluation. However, considering the cost, the yield of each tree cannot be assessed by directly picking the immature fruit. Therefore, the problem is a very difficult task.
arxiv
Sensors, 2023 Recognition and 3D positional estimation of apples during harvesting from a robotic platform in a moving vehicle are still challenging. Fruit clusters, branches, foliage, low resolution, and different illuminations are unavoidable and cause errors in ...
R. M. Rasika D. Abeyrathna +3 more
doaj +1 more source
Real-Time Image Detection for Edge Devices: A Peach Fruit Detection Application
Future Internet, 2022 Within the scope of precision agriculture, many applications have been developed to support decision making and yield enhancement. Fruit detection has attracted considerable attention from researchers, and it can be used offline.
E. Assunção +6 more
semanticscholar +1 more source
Pest risk analysis for Bactrocera invadens : Guidelines on Pest Risk Analysis [PDF]
, 2010 Stripping related moisture damage has been recognized as one of the major pavement distresses since the early 1990s. The main objective of this study is to establish an effective test protocol to quantify moisture susceptibility of asphalt pavements.
Guitian Castrillon, José Maria +9 more
core +3 more sources
Object Sensing for Fruit Ripeness Detection Using WiFi Signals [PDF]
arXiv, 2021 This paper presents FruitSense, a novel fruit ripeness sensing system that leverages wireless signals to enable non-destructive and low-cost detection of fruit ripeness. Such a system can reuse existing WiFi devices in homes without the need for additional sensors.
arxiv
A methodology for detection and localization of fruits in apples orchards from aerial images [PDF]
arXiv, 2021 Computer vision methods based on convolutional neural networks (CNNs) have presented promising results on image-based fruit detection at ground-level for different crops. However, the integration of the detections found in different images, allowing accurate fruit counting and yield prediction, have received less attention.
arxiv