Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Innocent Nyalala"'
Publikováno v:
Poultry Science, Vol 103, Iss 12, Pp 104232- (2024)
ABSTRACT: Variability in the size of slaughtered chickens remains a longstanding challenge in the standardization of the poultry industry. To address this issue, we present a novel approach that uses volume as a grading metric for chicken carcasses.
Externí odkaz:
https://doaj.org/article/5823d070c79c4642952c3cbe765bb659
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract Prediction of a precise subsoiling using an analytical model (AM) and Discrete Element Method (DEM) was conducted to explain cutting forces and the soil profile induced changes by a subsoiler. Although sensors, AMs and DEM exist, there are s
Externí odkaz:
https://doaj.org/article/c813b767df574a4393d4a93e813e68be
Autor:
Innocent Nyalala, Cedric Okinda, Qi Chao, Peter Mecha, Tchalla Korohou, Zuo Yi, Samuel Nyalala, Zhang Jiayu, Liu Chao, Chen Kunjie
Publikováno v:
International Journal of Food Properties, Vol 24, Iss 1, Pp 818-832 (2021)
The fundamental characteristics of agricultural products are appearance, size, and weight, which affect their market value, consumer preference, and choice. Thus, food and agricultural industries seek rapid, simple, and nondestructive approaches to a
Externí odkaz:
https://doaj.org/article/d21b4fe8b9904baab68408f5a8db3f6f
Autor:
Cedric Okinda, Innocent Nyalala, Tchalla Korohou, Celestine Okinda, Jintao Wang, Tracy Achieng, Patrick Wamalwa, Tai Mang, Mingxia Shen
Publikováno v:
Artificial Intelligence in Agriculture, Vol 4, Iss , Pp 184-208 (2020)
Monitoring of poultry welfare-related bio-processes and bio-responses is vital in welfare assessment and management of welfare-related factors. With the current development in information technologies, computer vision has become a promising tool in t
Externí odkaz:
https://doaj.org/article/9cda7f03ad7445e1bbae05b77c16cc0e
Autor:
Innocent Nyalala, Cedric Okinda, Nelson Makange, Tchalla Korohou, Qi Chao, Luke Nyalala, Zhang Jiayu, Zuo Yi, Khurram Yousaf, Liu Chao, Chen Kunjie
Publikováno v:
Poultry Science, Vol 100, Iss 12, Pp 101474- (2021)
ABSTRACT: In a broiler carcass production conveyor system, inspection, monitoring, and grading carcass and cuts based on computer vision techniques are challenging due to cuts segmentation and ambient light conditions issues. This study presents a de
Externí odkaz:
https://doaj.org/article/0e22200fdae54ef7808d4e754cb4966f
Publikováno v:
Poultry Science, Vol 100, Iss 5, Pp 101072- (2021)
The appearance, size, and weight of poultry meat and eggs are essential for production economics and vital in the poultry sector. These external characteristics influence their market price and consumers' preference and choice. With technological dev
Externí odkaz:
https://doaj.org/article/211922c77f5a4eda8041bea2c279e1af
Publikováno v:
Agronomy, Vol 11, Iss 5, p 834 (2021)
Detecting the flowering stage of tea chrysanthemum is a key mechanism of the selective chrysanthemum harvesting robot. However, under complex, unstructured scenarios, such as illumination variation, occlusion, and overlapping, detecting tea chrysanth
Externí odkaz:
https://doaj.org/article/57dd61764a3b44d280c9fa830d215c9b
Autor:
Chen Kun-jie, Zuo Yi, Cedric Okinda, Samuel Nyalala, Zhang Jiayu, Peter Mecha, Liu Chao, Tchalla Korohou, Innocent Nyalala, Qi Chao
Publikováno v:
International Journal of Food Properties, Vol 24, Iss 1, Pp 818-832 (2021)
The fundamental characteristics of agricultural products are appearance, size, and weight, which affect their market value, consumer preference, and choice. Thus, food and agricultural industries seek rapid, simple, and nondestructive approaches to a
Autor:
Tracy Achieng, Tai Mang, Mingxia Shen, Tchalla Korohou, Innocent Nyalala, Patrick Wamalwa, Celestine Okinda, Cedric Okinda, Jintao Wang
Publikováno v:
Artificial Intelligence in Agriculture, Vol 4, Iss, Pp 184-208 (2020)
Monitoring of poultry welfare-related bio-processes and bio-responses is vital in welfare assessment and management of welfare-related factors. With the current development in information technologies, computer vision has become a promising tool in t
Autor:
Liu Chao, Luke Nyalala, Cedric Okinda, Kunjie Chen, Khurram Yousaf, Nelson Makange, Qi Chao, Innocent Nyalala
Publikováno v:
Journal of Food Engineering. 263:288-298
A prediction method of mass and volume of cherry tomato based on a computer vision system and machine learning algorithms were introduced in this study. The relation between tomato mass and volume was established as M = 1.312 V 0.9551 , and was used