Results 291 to 300 of about 334,320 (345)

Depth Imaging-Based Framework for Efficient Phenotypic Recognition in Tomato Fruit. [PDF]

Plants (Basel)
Li J, Dong G, Liu Y, Yuan H, Xu Z, Nie W, Zhang Y, Shi Q.   +7 more
europepmc   +1 more source

Cluster segmentation and stereo vision-based apple localization algorithm for robotic harvesting. [PDF]

Front Plant Sci
Wang J, Sun W.
europepmc   +1 more source

Selection and characterization of a DNA aptamer for Patulin and its application in a label-free fluorescence assay for fruit juices. [PDF]

One Health Adv
Wang S, Liang J, Jiang H, Shen J, Wang Z, Liu J.   +5 more
europepmc   +1 more source

Data Sheet 1_Research on persimmon fruit diameter accurate detection method based on improved RCNN instance segmentation algorithm.zip

Yuan Fang (132924), Yangyang Liu (807797), Ya Feng (9765089), Yougen Chen (1579369), Haikun Jiang (20539148)   +4 more
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Bee Detection for Fruit Cultivation

2021 IEEE International Symposium on Circuits and Systems (ISCAS), 2021
Pollination is essential in fruit cultivation. It has a strong impact on fruit production, both for the quantity of fruit and for their quality. Its efficiency is therefore essential to the economic profitability of farms. However, populations of pollinating insects have been decreasing in France due to the many threats they face.
Stanislas Dubois, Julien Choveton-Caillat, Wedji Kane, Terii Gilbert, Mohcine Nfaoui, Mohamed El Boudali, Marwane Rezzouki, Guillaume Ferre   +7 more
openaire   +1 more source

Fruit Quality Detection using Thermometer

Journal of Image Processing and Intelligent Remote Sensing, 2022
Fruit is incredibly crucial to our daily lives. Globalization is causing a daily decline in food quality. The fruit is given various additives or preservatives to make it look appealing or fresh. The majority of fruit is now preserved using chemicals, which contaminates the fruit.
Madhupriya Sagar Kamuni, Tulsi Pandit Devasani, Lavanya Ramesh Nalla, Dr Kazi Kutubuddin Sayyad Liyakat   +3 more
openaire   +1 more source

Texture-based fruit detection

Precision Agriculture, 2014
In this paper, a technique based on texture analysis is proposed for detecting green fruits on plants. The method involves interest point feature extraction and descriptor computation, interest point classification using support vector machines, candidate fruit point mapping, morphological closing and fruit region extraction.
Supawadee Chaivivatrakul, Matthew N. Dailey   +1 more
openaire   +1 more source

Sieving Fruit Pulp to Detect Immature Tephritid Fruit Flies in the Field

Journal of Visualized Experiments, 2023
Fruit flies of the Tephritidae family are among the most destructive and invasive agricultural pests in the world. Many countries undertake expensive eradication programs to eliminate incipient populations. During eradication programs, a concerted effort is made to detect larvae, as this strongly indicates a breeding population and helps establish the ...
Amy L, Roda, Gary, Steck, Thomas, Fezza, Todd, Shelly, Rita, Duncan, Nicholas, Manoukis, Lori, Carvalho, Abbie, Fox, Paul, Kendra, Daniel, Carrillo   +9 more
openaire   +2 more sources

DEEP LEARNING IN FRUIT DETECTION

2023
Over the past decade, there has been a marked surge in scholarly publications focusing on machine learning, the Internet of Things (IoT), and deep learning, particularly in the context of the fruit industry. Deep learning (DL) is a specialized approach within the broader field of machine learning (ML), which itself is a subset of artificial ...
Mandušić, Dubravka, Blašković, Lucija   +1 more
openaire