Zobrazeno 1 - 10
of 15 927
pro vyhledávání: '"A. SARANGI"'
Autor:
Venkatesh Gaddikeri, A. Sarangi, D. K. Singh, Malkhan Singh Jatav, Jitendra Rajput, N. L. Kushwaha
Publikováno v:
Journal of Water and Climate Change, Vol 15, Iss 5, Pp 2033-2058 (2024)
Climate change (CC) significantly influences agricultural water productivity, it is advisable to consider the adapting irrigation regimes to observed changes in precipitation patterns. This study aim is to assess trends and change point analysis of w
Externí odkaz:
https://doaj.org/article/7eeef95867ab47be871d58558527e942
Autor:
Arti Kumari, D. K. Singh, A. Sarangi, Murtaza Hasan, Vinay Kumar Sehgal, Soora Naresh Kumar, Cini Verghese
Publikováno v:
Water Practice and Technology, Vol 19, Iss 5, Pp 1676-1695 (2024)
An integrated sensing device for irrigation scheduling was developed to assess the soil–plant–atmosphere continuum for irrigation scheduling. A field experiment was carried out to evaluate ISDI performance and CWSI estimation across various irrig
Externí odkaz:
https://doaj.org/article/b7e750b550364e29b12449a116f3c81e
Publikováno v:
Agricultural Water Management, Vol 305, Iss , Pp 109104- (2024)
A two-year field experiment was conducted to integrate soil moisture stress with the Crop Water Stress Index (CWSI) for optimizing irrigation in winter wheat (Triticum aestivum L.) under varying irrigation regimes. The study took place at the Water T
Externí odkaz:
https://doaj.org/article/a1b1de953c944eb9934cd9cb89bdd78e
Publikováno v:
Journal of Agrometeorology, Vol 26, Iss 1 (2024)
Estimation of pan evaporation (Epan) can be useful in judicious irrigation scheduling for enhancing agricultural water productivity. The aim of present study was to assess the efficacy of state-of-the-art LSTM and ANN for daily Epan estimation using
Externí odkaz:
https://doaj.org/article/781a2c81c5fd498dba998ea4f751d37e
Publikováno v:
Water Science and Technology, Vol 88, Iss 4, Pp 991-1014 (2023)
Accurate Crop Evapotranspiration (ETc) estimation is crucial for understanding hydrological and agrometeorological processes, yet it's challenged by multiple parameters, data variations, and lack of continuity. These limitations restrict numerical me
Externí odkaz:
https://doaj.org/article/0b600accdf1a45debe3ac91e05f9e27b
Publikováno v:
Water Science and Technology, Vol 87, Iss 10, Pp 2504-2528 (2023)
Crop evapotranspiration is essential for planning and designing an efficient irrigation system. The present investigation assessed the capability of four machine learning algorithms, namely, XGBoost linear regression (XGBoost Linear), XGBoost Ensembl
Externí odkaz:
https://doaj.org/article/e6a11d42769041a985aa8887b7c0f62e
Publikováno v:
Journal of Water and Climate Change, Vol 14, Iss 1, Pp 350-368 (2023)
Reference evapotranspiration (ET0) is used to determine crop water requirements under different climatic conditions. In this study, soft computing tools viz. artificial neural network (ANN) and k-nearest neighbors (KNN) models were evaluated for fore
Externí odkaz:
https://doaj.org/article/5cbd3507c9f347a98b714fccb467a1dd
Autor:
SUJAN ADAK, KALIKINKAR BANDYOPADHYAY, R.N. SAHOO, PRAMEELA KRISHNAN, V.K. SEHGAL, S. NARESH KUMAR, S.P. DATTA, A. SARANGI, R.S. BANA, NANDITA MANDAL, PRIYA BHATTACHARYA, MD YEASIN
Publikováno v:
Journal of Agrometeorology, Vol 25, Iss 3 (2023)
Water, nutrients, and energy are the three main inputs in agricultural production and recently there has been a drop in the factor productivity of these inputs because of their improper management and deterioration of soil health. To maximize agricul
Externí odkaz:
https://doaj.org/article/79fe8404f2a84eeb9fea8992598b3995
Publikováno v:
Journal of Sustainable Development of Energy, Water and Environment Systems, Vol 10, Iss 2, Pp 1-15 (2022)
Many coastal aquifers are facing seawater intrusion due to overexploitation of freshwater. In this study, the groundwater flow and solute transport in a coastal aquifer of Minjur, in India was simulated considering the possible cases of aquifer recha
Externí odkaz:
https://doaj.org/article/802ebca584624f048e0550bf2a1fc643
Autor:
Bossion, Duncan, Sarangi, Arkaprabha, Aalto, Susanne, Esmerian, Clarke, Hashemi, Rasoul, Knudsen, Kirsten Kraiberg, Vlemmings, Wouter, Nyman, Gunnar
Context. Cosmic dust is ubiquitous in astrophysical environments, where it significantly influences the chemistry and the spectra. Dust grains are likely to grow through the accretion of atoms and molecules from the gas-phase onto them. Despite their
Externí odkaz:
http://arxiv.org/abs/2411.06125
