Results 41 to 50 of about 356,409 (302)

Optimization of Germination Inhibitors Elimination from Sugar Beet (Beta vulgaris L.) Seeds of Different Maturity Classes

Agronomy, 2019
Endogenous inhibitors have a crucial effect on the success of sugar beet (Beta vulgaris) seed germination. The strength of this effect changes during seed maturation, and washing away these inhibitors can facilitate germination.
Zahra Salimi, Birte Boelt
doaj   +1 more source

Growth Stage Classification and Harvest Scheduling of Snap Bean Using Hyperspectral Sensing: A Greenhouse Study

Remote Sensing, 2020
The agricultural industry suffers from a significant amount of food waste, some of which originates from an inability to apply site-specific management at the farm-level.
Amirhossein Hassanzadeh, Sean P. Murphy, Sarah J. Pethybridge, Jan van Aardt   +3 more
doaj   +1 more source

Maturity status classification of papaya fruits based on machine learning and transfer learning approach

Information Processing in Agriculture, 2021
Papaya (Carica papaya) is a tropical fruit having commercial importance because of its high nutritive and medicinal value. The packaging of papaya fruit as per its maturity status is an essential task in the fruit industry.
Santi Kumari Behera, Amiya Kumar Rath, Prabira Kumar Sethy   +2 more
doaj   +1 more source

Feature extraction from electroencephalograms for Bayesian assessment of newborn brain maturity [PDF]

, 2011
We explored the feature extraction techniques for Bayesian assessment of EEG maturity of newborns in the context that the continuity of EEG is the most important feature for assessment of the brain development.
Jakaite, Livija, Schetinin, Vitaly, Schult, Joachim   +2 more
core   +2 more sources

Green BPM as a business-oriented discipline : a systematic mapping study and research agenda [PDF]

, 2019
Green Business Process Management (BPM) focuses on the ecological impact of business processes. This article provides a systematic mapping study of Green BPM literature to evaluate five attributes of the Green BPM research area: (1) scope, (2 ...
Couckuyt, Dries, Van Looy, Amy
core   +1 more source

YOLO-ELS: A Lightweight Cherry Tomato Maturity Detection Algorithm

Applied Sciences
Within the domain of intelligent picking robotics, fruit recognition and positioning are essential. Challenging conditions such as varying light, occlusion, and limited edge-computing power compromise fruit maturity detection.
Zhimin Tong, Yu Zhou, Changhao Li, Changqing Cai, Lihong Rong   +4 more
doaj   +1 more source

Effects of data sources and biological criteria on length-at-maturity estimates and spawning periodicity of the commercially important Hawaiian snapper, Etelis coruscans

Frontiers in Marine Science, 2023
Reproductive characteristics of a fish stock provide important tools for assessing population health. Change in length-at-maturity (L50) is a potential indicator of exploited fish populations but when criteria for determining maturity classifications are
Erin M. Reed, Erin M. Reed, Nancy J. Brown-Peterson, Edward E. DeMartini, Allen H. Andrews   +4 more
doaj   +1 more source

Starfruit classification based on linear hue computation [PDF]

, 2007
In this paper, a classification process to group starfruit into six maturity indices is proposed based on 1- dimensional color feature called hue, which is extracted from the starfruit image.
Abu Bakar, S. A. R., Mohd. Mokji, Musa
core  

Pazopanib Combined With Vincristine and Irinotecan in Relapsed Wilms Tumor: Encouraging Outcomes in a Heavily Pretreated Pediatric Cohort

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background While Wilms tumor (WT) typically has a favorable prognosis, relapsed cases—especially those with high‐risk histology—remain therapeutically challenging after intensive frontline therapy. The combination of vincristine and irinotecan has demonstrated activity in pediatric solid tumors, and pazopanib, a multi‐targeted tyrosine kinase ...
Maria Debora De Pasquale, Alessandro Crocoli, Giuseppe Maria Milano, Pierluigi Di Paolo, Francesca Diomedi Camassei, Ida Russo, Annalisa Serra   +6 more
wiley   +1 more source

Predicting Sweet Pepper Yield Based on Fruit Counts at Multiple Ripeness Stages Monitored by an AI-Based System Mounted on a Pipe-Rail Trolley

Horticulturae
In our previous study, we developed a monitoring system for automatically counting tomatoes produced in protected horticulture using deep learning–based object detection.
Kota Shimomoto, Mitsuyoshi Shimazu, Takafumi Matsuo, Syuji Kato, Hiroki Naito, Masakazu Kashino, Nozomu Ohta, Sota Yoshida, Tokihiro Fukatsu   +8 more
doaj   +1 more source