Zobrazeno 1 - 10
of 731
pro vyhledávání: '"crop water stress index"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Much research has been invested in infrared temperature (IRT)-based methods for cotton (Gossypium hirsutism L.) water stress detection using in-field sensors, but adoption of these is low, perhaps due to logistical challenges. Alternatively,
Externí odkaz:
https://doaj.org/article/fc2d23fa4ee24c56b59804c8843a0b97
Publikováno v:
Water Supply, Vol 24, Iss 7, Pp 2185-2203 (2024)
The crop water stress index (CWSI) is an important technique for determining stress levels in the plant and directing irrigation management techniques. To determine the CWSI for sunflower, a pot-based research trial was carried out in the research fi
Externí odkaz:
https://doaj.org/article/d8aff2bb182e4e979cdf524b546411f4
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
Autor:
Alessandro Carella, Roberto Massenti, Francesco Paolo Marra, Pietro Catania, Eliseo Roma, Riccardo Lo Bianco
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Developing an efficient and sustainable precision irrigation strategy is crucial in contemporary agriculture. This study aimed to combine proximal and remote sensing techniques to show the benefits of using both monitoring methods, simultaneously ass
Externí odkaz:
https://doaj.org/article/a3e0d53f1157456ebedde4b6063298fe
Autor:
Zeinab Rezvani, Fariba Rezvani
Publikováno v:
Biomechanism and Bioenergy Research, Vol 2, Iss 2, Pp 65-86 (2023)
Accurate assessment and monitoring of plant water stress are essential for optimizing irrigation strategies, improving water use efficiency. This article explores the multifaceted issue of water stress, encompassing both agricultural and environmenta
Externí odkaz:
https://doaj.org/article/5a7229fd922b41a5921fe3ed7ab38fa8
Autor:
Federica Carucci, Simone Bregaglio, Delia Pia Caldarola, Giuseppe Gatta, Marcella Michela Giuliani
Publikováno v:
Data in Brief, Vol 53, Iss , Pp 110225- (2024)
The availability of field experimental data plays a pivotal role in advancing agricultural research, particularly in the Mediterranean, where farmers face significant challenges due to water scarcity and changing climatic conditions. We present a mul
Externí odkaz:
https://doaj.org/article/ea8c6300b9f340b38df349120be6472b
Autor:
Ali B. Uçak, Atılgan Atılgan, Mariusz Korytowski, Joanna Kocięcka, Daniel Liberacki, Piotr Stachowski, Burak Saltuk, Roman Rolbiecki
Publikováno v:
Journal of Water and Land Development, Iss No 59, Pp 145-152 (2023)
This study was conducted to determine crop water stress index (CWSI) values and irrigation timing in the case of Derinkuyu dry bean ( Phaseolus vulgaris L.). In 2017, dry beans were grown as the main crop according to the field design consisting of p
Externí odkaz:
https://doaj.org/article/9b8b4fa583fb4d3b9ee8b0a6861fbf59
Publikováno v:
Remote Sensing, Vol 16, Iss 14, p 2609 (2024)
Efficiently monitoring and quantifying the response of genotypes to water stress is critical in developing resilient crop cultivars in water-limited environments. The objective of this study was to assess water stress in cotton (Gossypium hirsutum L.
Externí odkaz:
https://doaj.org/article/c640dfc6a6884fddb5c36238cb728675
Publikováno v:
Applied Sciences, Vol 14, Iss 12, p 5106 (2024)
Safflower is known as a tolerant plant to abiotic stress factors. This study was conducted to introduce some physiological indices to improve drought-tolerant safflower genotypes for cultivation in marginal and arid areas. Six safflower genotypes wer
Externí odkaz:
https://doaj.org/article/1aa12ab7e423428c8a71a75a48936eef
Publikováno v:
Water Supply, Vol 23, Iss 3, Pp 1390-1404 (2023)
Estimation of crop water stress index (CWSI) and leaf area index (LAI) over large-irrigation schemes requires the use of cutting-edge technologies. Combinations of remote sensing techniques with ground-truth data have become available for use at the
Externí odkaz:
https://doaj.org/article/1fcb3504f0034e7db17805afb0a337ec