Zobrazeno 1 - 10
of 170
pro vyhledávání: '"Crop yield estimation"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 14437-14453 (2024)
The United States (U.S.) is a global leader in the production and exportation of soybeans and corn. Accurate monitoring and estimation of soybean and corn yields in the U.S. is essential for improving global food security. However, there is currently
Externí odkaz:
https://doaj.org/article/a504ccb91b20447a86e6ad5678255d18
Autor:
Renhai Zhong, Yue Zhu, Xuhui Wang, Haifeng Li, Bin Wang, Fengqi You, Luis F. Rodríguez, Jingfeng Huang, K.C. Ting, Yibin Ying, Tao Lin
Publikováno v:
Fundamental Research, Vol 3, Iss 6, Pp 951-959 (2023)
Providing accurate crop yield estimations at large spatial scales and understanding yield losses under extreme climate stress is an urgent challenge for sustaining global food security. While the data-driven deep learning approach has shown great cap
Externí odkaz:
https://doaj.org/article/78c26525eaf24a07ab60f647fb7ca3b8
Publikováno v:
Agronomy, Vol 14, Iss 9, p 2130 (2024)
Onion (Allium cepa) is a major field vegetable in South Korea and has been produced for a long time along with cabbage, radish, garlic, and dried peppers. However, as field vegetables, including onions, have recently been imported at low prices, the
Externí odkaz:
https://doaj.org/article/04cabd21770b426686fd92eb351bda4b
Autor:
Muhammad Hanif Tunio, Jian Ping Li, Xiaoyang Zeng, Faijan Akhtar, Syed Attique Shah, Awais Ahmed, Yu Yang, Md Belal Bin Heyat
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 1, Pp 101895- (2024)
Accurate pre-harvest crop yield estimation is vital for agricultural sustainability and economic stability. The existing yield estimating models exhibit deficiencies in insufficient examination of hyperparameters, lack of robustness, restricted trans
Externí odkaz:
https://doaj.org/article/07bd931b5c7440f3a187892f75a1a3d8
Publikováno v:
Agriculture, Vol 14, Iss 5, p 784 (2024)
Crop yield estimation plays a crucial role in agricultural production planning and risk management. Utilizing simultaneous localization and mapping (SLAM) technology for the three-dimensional reconstruction of crops allows for an intuitive understand
Externí odkaz:
https://doaj.org/article/a38692c3b9704ea1bdc8d568970aef08
Autor:
Mohammad Rifat Ahmmad Rashid, Md. Shafayat Hossain, MD Fahim, Md. Shajibul Islam, Tahzib-E-Alindo, Rizvee Hassan Prito, Md. Shahadat Anik Sheikh, Md Sawkat Ali, Mahamudul Hasan, Maheen Islam
Publikováno v:
Data in Brief, Vol 51, Iss , Pp 109772- (2023)
Bangladesh's economy is primarily driven by the agriculture sector. Rice is one of the staple food of Bangladesh. The count of panicles per unit area serves as a widely used indicator for estimating rice yield, facilitating breeding efforts, and cond
Externí odkaz:
https://doaj.org/article/e4472c5091ee4e2bae72fef975422636
Autor:
Qiuyan Huang, Juanjuan Feng, Maofang Gao, Shuangshuang Lai, Guangping Han, Zhihao Qin, Jinlong Fan, Yuling Huang
Publikováno v:
Agronomy, Vol 14, Iss 3, p 476 (2024)
The precise estimation of sugarcane yield at the field scale is urgently required for harvest planning and policy-oriented management. Sugarcane yield estimation from satellite remote sensing is available, but satellite image acquisition is affected
Externí odkaz:
https://doaj.org/article/9bed1057c38f49de98d5a3bb6634b4b6
Akademický článek
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Akademický článek
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Publikováno v:
Environmental Sciences Proceedings, Vol 29, Iss 1, p 65 (2023)
Accurate crop yield Mapping is paramount in agricultural monitoring and food security. In this study, we present a comprehensive investigation into estimating winter wheat yield in the Qazvin plane of Iran, leveraging the synergy between machine lear
Externí odkaz:
https://doaj.org/article/0f78914fbb834943bf79eae4c8349b81