Identification of male- and female-specific olfaction genes in antennae of the oriental fruit fly (Bactrocera dorsalis) [PDF]
, 2016 The oriental fruit fly (Bactrocera dorsalis) is a species of tephritid fruit fly, endemic to Southeast Asia but also introduced to many regions of the US, and it is one of the major pest species with a broad host range of cultivated and wild fruits ...
Lei, Zhongren +3 more
core +8 more sources
Recent Advancements in Fruit Detection and Classification Using Deep Learning Techniques
Mathematical Problems in Engineering, 2022 Recent advances in computer vision have allowed broad applications in every area of life, and agriculture is not left out. For the agri-food industry, the use of advanced technology is essential.
C. Ukwuoma +5 more
semanticscholar +1 more source
Image Based Mango Fruit Detection, Localisation and Yield Estimation Using Multiple View Geometry
Sensors, 2016 This paper presents a novel multi-sensor framework to efficiently identify, track, localise and map every piece of fruit in a commercial mango orchard.
Madeleine Stein +2 more
doaj +1 more source
Frontiers in Plant Science, 2021 Multi-target recognition and positioning using robots in orchards is a challenging task in modern precision agriculture owing to the presence of complex noise disturbance, including wind disturbance, changing illumination, and branch and leaf shading. To
Fengyun Wu +6 more
doaj +1 more source
Multispecies Fruit Flower Detection Using a Refined Semantic Segmentation Network [PDF]
, 2018 In fruit production, critical crop management decisions are guided by bloom intensity, i.e., the number of flowers present in an orchard. Despite its importance, bloom intensity is still typically estimated by means of human visual inspection.
Dias, Philipe A. +2 more
core +3 more sources
Research and Explainable Analysis of a Real-Time Passion Fruit Detection Model Based on FSOne-YOLOv7
Agronomy, 2023 Real-time object detection plays an indispensable role in facilitating the intelligent harvesting process of passion fruit. Accordingly, this paper proposes an FSOne-YOLOv7 model designed to facilitate the real-time detection of passion fruit.
Juji Ou +3 more
semanticscholar +1 more source
On Plant Detection of Intact Tomato Fruits Using Image Analysis and Machine Learning Methods
Sensors, 2014 Fully automated yield estimation of intact fruits prior to harvesting provides various benefits to farmers. Until now, several studies have been conducted to estimate fruit yield using image-processing technologies.
Kyosuke Yamamoto +3 more
doaj +1 more source
Apple Counting using Convolutional Neural Networks [PDF]
2018 IEEE/RSJ International Conference on Intelligent Robots and
Systems (IROS), 2022 Estimating accurate and reliable fruit and vegetable counts from images in real-world settings, such as orchards, is a challenging problem that has received significant recent attention. Estimating fruit counts before harvest provides useful information for logistics planning. While considerable progress has been made toward fruit detection, estimating
arxiv +1 more source
The public health risk posed by Listeria monocytogenes in frozen fruit and vegetables including herbs, blanched during processing [PDF]
, 2020 A multi-country outbreak ofListeria monocytogenesST6 linked to blanched frozen vegetables (bfV)took place in the EU (2015–2018). Evidence of food-borne outbreaks shows thatL. monocytogenesisthe most relevant pathogen associated with bfV.
Allende, Ana +24 more
core +2 more sources
Fruit and Leaf Sensing for Continuous Detection of Nectarine Water Status [PDF]
, 2019 Continuous assessment of plant water status indicators might provide the most precise information for irrigation management and automation, as plants represent an interface between soil and atmosphere.
Lo Bianco, Riccardo +3 more
core +1 more source