Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Naseeb Singh"'
Publikováno v:
Smart Agricultural Technology, Vol 8, Iss , Pp 100518- (2024)
A sensor-based automatic watering unit was developed to irrigate the paddy seedling trays. The watering unit comprised six flat spray nozzles with a direct current (DC) water pump and flow sensor, and these were kept at the top of the conveyor frame,
Externí odkaz:
https://doaj.org/article/06c95334b417458c894756ca51015dfa
Autor:
Indu Devi, Naseeb Singh, Kuldeep Dudi, Rakesh Ranjan, Surender Singh Lathwal, Divyanshu Singh Tomar, Harsh Nagar
Publikováno v:
Smart Agricultural Technology, Vol 8, Iss , Pp 100509- (2024)
The assessment of traits is important in determining production potential, reproductive performance, and overall health of dairy cows. The assessment of these traits typically involves visual inspection and manual measurement, which can be time-consu
Externí odkaz:
https://doaj.org/article/3e450c0c376747ae848a813ddafbf1c0
Autor:
Naseeb Singh, Simardeep Kaur, Vijay Mahore, Chwadaka Pohshna, Shashank Shekhar, Rakesh Bhardwaj
Publikováno v:
Smart Agricultural Technology, Vol 8, Iss , Pp 100508- (2024)
Species distribution modeling (SDM) can be a valuable tool to improve perilla production by identifying optimal locations for its cultivation in the North Eastern Hill (NEH) region of India. Numerous habitat suitability modeling techniques are availa
Externí odkaz:
https://doaj.org/article/7e8c5c7c2e7347238a52c25712e78f63
Publikováno v:
Cogent Engineering, Vol 11, Iss 1 (2024)
AbstractNumerous wired data acquisition systems were developed in the past, for measurement of draft, which were often characterized by complexity and operational difficulty. Consequently, it is necessary to upgrade the exiting draft measurement tech
Externí odkaz:
https://doaj.org/article/fb580d9ec8fe486ebfb19fb2a5f0322c
Autor:
Simardeep Kaur, Karishma Seem, Ansheef Ali, Sandeep Jaiswal, Praveen Gumachanamardi, Gurkanwal Kaur, Naseeb Singh, Letngam Touthang, Sanjeev Kumar Singh, Rakesh Bhardwaj, Binay K. Singh, Vinay Kumar Mishra, Amritbir Riar
Publikováno v:
Heliyon, Vol 10, Iss 12, Pp e33281- (2024)
There is a growing need to mainstream orphan or underutilized crops to enhance nutritional security and sustainable agriculture. Among these, Perilla frutescens L. is an important crop due to its rich nutritional and phytochemical content which makes
Externí odkaz:
https://doaj.org/article/fef5994826ce462fbc5403cde79bff20
Publikováno v:
Artificial Intelligence in Agriculture, Vol 8, Iss , Pp 1-19 (2023)
Robotic harvesting of cotton bolls will incorporate the benefits of manual picking as well as mechanical harvesting. For robotic harvesting, in-field cotton segmentation with minimal errors is desirable which is a challenging task. In the present stu
Externí odkaz:
https://doaj.org/article/87580dda49d04b1a9de932f21b1d4251
Publikováno v:
Smart Agricultural Technology, Vol 5, Iss , Pp 100305- (2023)
The conventional sprinkler irrigation time calculation does not consider current soil moisture, leading to inadequate or excess irrigation due to daily weather changes. In present study, a new approach for calculating sprinkler irrigation time was pr
Externí odkaz:
https://doaj.org/article/49eaba131e9149bbaabae797be29f247
Autor:
AJAY KUSHWAH, P K SHARMA, INDRA MANI, H L KUSHWAHA, R N SAHOO, SUSHEEL KUMAR SARKAR, B B SHARMA, GOPAL CARPENTER, NASEEB SINGH, RASHMI YADAV, RAMINENI HARSHA NAG
Publikováno v:
The Indian Journal of Agricultural Sciences, Vol 93, Iss 8 (2023)
Manual harvesting of cauliflower (Brassica oleracea var. botrytis) is time-consuming, costly, and labour-intensive, necessitating the development of mechanized solutions. This research focuses on optimizing the operating parameters, namely the shaft
Externí odkaz:
https://doaj.org/article/694b7242b0b241ca8699606ff86b81ca
Semantic segmentation of in-field cotton bolls from the sky using deep convolutional neural networks
Publikováno v:
Smart Agricultural Technology, Vol 2, Iss , Pp 100045- (2022)
Manually picking of cotton bolls is a tedious, costly, and labor-intensive task, while harvesting using machines results in higher harvesting losses. By keeping selective picking in mind to maintain fiber quality, minimize harvesting losses, and tack
Externí odkaz:
https://doaj.org/article/7d0e7be9460343cd824a21ea44706946
Autor:
DEBASISH CHAKRABORTY, KETHAVATH AJAYKUMAR, V. SURESH BABU, NASEEB SINGH, H. D. SINGH, H. J. SINGH, B. K. SETHY
Publikováno v:
Journal of Agrometeorology, Vol 24, Iss 3 (2022)
Externí odkaz:
https://doaj.org/article/4315fa6d475d4b76b040e71bc9c585da