Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Tabinda Naz Syed"'
Autor:
Imran Ali Lakhiar, Haofang Yan, Chuan Zhang, Guoqing Wang, Bin He, Beibei Hao, Yujing Han, Biyu Wang, Rongxuan Bao, Tabinda Naz Syed, Junaid Nawaz Chauhdary, Md. Rakibuzzaman
Publikováno v:
Agriculture, Vol 14, Iss 7, p 1141 (2024)
Water is considered one of the vital natural resources and factors for performing short- and long-term agricultural practices on Earth. Meanwhile, globally, most of the available freshwater resources are utilized for irrigation purposes in agricultur
Externí odkaz:
https://doaj.org/article/e4220dac27a14b558c85c5417886b935
Autor:
Imran Ali Lakhiar, Haofang Yan, Jianyun Zhang, Guoqing Wang, Shuaishuai Deng, Rongxuan Bao, Chuan Zhang, Tabinda Naz Syed, Biyu Wang, Rui Zhou, Xuanxuan Wang
Publikováno v:
Agronomy, Vol 14, Iss 3, p 548 (2024)
Plastic products in plant production and protection help farmers increase crop production, enhance food quality, and reduce global water use and their environmental footprint. Simultaneously, plastic has emerged as a critical ecological issue in rece
Externí odkaz:
https://doaj.org/article/fb96cbdcbe9348f3980726fc6520d314
Autor:
Tabinda Naz Syed, Liu Jizhan, Zhou Xin, Zhao Shengyi, Yuan Yan, Sami Hassan Ahmed Mohamed, Imran Ali Lakhiar
Publikováno v:
Artificial Intelligence in Agriculture, Vol 3, Iss , Pp 18-32 (2019)
Non-destructive plant growth parameters measurement is an important concern in automatic-seedling transplanting. Recently, several image-based monitoring approaches have been proposed and potentially developed for several agricultural applications. T
Externí odkaz:
https://doaj.org/article/54d1b5dadf4049a296d03f55776fa812
Publikováno v:
Journal of Plant Interactions, Vol 13, Iss 1, Pp 338-352 (2018)
This review paper describes a novel approach to plant cultivation under soil-less culture. At present, global climate change is expected to raise the risk of frequent drought. Agriculture is in a phase of major change around the world and dealing wit
Externí odkaz:
https://doaj.org/article/987fb830fd7a412f9443a2f77dd3ed06
Publikováno v:
Sensors, Vol 18, Iss 5, p 1510 (2018)
Fruit recognition based on depth information has been a hot topic due to its advantages. However, the present equipment and methods cannot meet the requirements of rapid and reliable recognition and location of fruits in close shot for robot harvesti
Externí odkaz:
https://doaj.org/article/6f2583f4506f47da8c1ceb763c79cdfd
Autor:
Zhao Shengyi, Liu Jizhan, Sami Hassan Ahmed Mohamed, Imran Ali Lakhiar, Zhou Xin, Yuan Yan, Tabinda Naz Syed
Publikováno v:
Artificial Intelligence in Agriculture, Vol 3, Iss, Pp 18-32 (2019)
Non-destructive plant growth parameters measurement is an important concern in automatic-seedling transplanting. Recently, several image-based monitoring approaches have been proposed and potentially developed for several agricultural applications. T
Autor:
Noman Ali Buttar, Tabinda Naz Syed, Zhou Jing, Imran Ali Lakhiar, Farman Ali Chandio, Xiuquan Xu, Jianmin Gao
Publikováno v:
Transactions of the ASABE. 62:1475-1487
HighlightsThe atomizer droplet size should be considered an important factor when designing aeroponic systems.Airless atomizers had significant positive effects on plant growth, total polyphenol content, and antioxidant activity.Airless atomizers and
Publikováno v:
Journal of Plant Interactions, Vol 13, Iss 1, Pp 338-352 (2018)
This review paper describes a novel approach to plant cultivation under soil-less culture. At present, global climate change is expected to raise the risk of frequent drought. Agriculture is in a phase of major change around the world and dealing wit
Autor:
Farman Ali Chandio, Noman Ali Buttar, Tabinda Naz Syed, Imran Ali Lakhiar, Waqar Ahmed Qureshi, Gao Jianmin
Publikováno v:
Journal of Sensors, Vol 2018 (2018)
In recent years, intelligent sensor techniques have achieved significant attention in agriculture. It is applied in agriculture to plan the several activities and missions properly by utilising limited resources with minor human interference. Current
Publikováno v:
Sensors, Vol 18, Iss 5, p 1510 (2018)
Sensors (Basel, Switzerland)
Sensors; Volume 18; Issue 5; Pages: 1510
Sensors (Basel, Switzerland)
Sensors; Volume 18; Issue 5; Pages: 1510
Fruit recognition based on depth information has been a hot topic due to its advantages. However, the present equipment and methods cannot meet the requirements of rapid and reliable recognition and location of fruits in close shot for robot harvesti