Zobrazeno 1 - 10 of 44 pro vyhledávání: '"Mukesh K. Tiwari"'
1
Akademický článek
Development and comparison of artificial intelligence models for estimating daily reference evapotranspiration from limited input variables
Autor: Jaydip J. Makwana, Mukesh K. Tiwari, B.S. Deora
Publikováno v: Smart Agricultural Technology, Vol 3, Iss , Pp 100115- (2023)
The accurate and efficient computational modelling framework for computation of reference evapotranspiration (ET0) is the need of time and is highly essential for several agricultural, hydrological and hydro-climatological studies and applications. E
Externí odkaz: https://doaj.org/article/b82989bef23241cebd4089c8573fd0f7
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2
Akademický článek
Water Stress Identification of Winter Wheat Crop with State-of-the-Art AI Techniques and High-Resolution Thermal-RGB Imagery
Autor: Narendra S. Chandel, Yogesh A. Rajwade, Kumkum Dubey, Abhilash K. Chandel, A. Subeesh, Mukesh K. Tiwari
Publikováno v: Plants, Vol 11, Iss 23, p 3344 (2022)
Timely crop water stress detection can help precision irrigation management and minimize yield loss. A two-year study was conducted on non-invasive winter wheat water stress monitoring using state-of-the-art computer vision and thermal-RGB imagery in
Externí odkaz: https://doaj.org/article/bb82cf5eb17548758c1dc03c06c70c3e
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5
Identifying crop water stress using deep learning models
Autor: Dilip Jat, Mukesh K. Tiwari, Kumkum Dubey, N. S. Chandel, Subir Kumar Chakraborty, Yogesh Anand Rajwade
Publikováno v: Neural Computing and Applications. 33:5353-5367
The identification of water stress is a major challenge for timely and effective irrigation to ensure global food security and sustainable agriculture. Several direct and indirect methods exist for identification of crop water stress, but they are ti
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3617261922c0bfb392d7a4e917efed53
https://doi.org/10.1007/s00521-020-05325-4
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10
Coupling the maximum overlap discrete wavelet transform and long short-term memory networks for irrigation flow forecasting
Autor: Mukesh K. Tiwari, John Quilty, Soukayna Mouatadid, Jan Adamowski
Publikováno v: Agricultural Water Management. 219:72-85
Many countries are suffering from water resource constraints due to rising demands from different water-consuming sectors and a changing climate. In some countries, such as Spain, operators of agricultural irrigation are under increasing pressure to
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a7829ded16576c453b2263b8de51c696
https://doi.org/10.1016/j.agwat.2019.03.045
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