Zobrazeno 1 - 10
of 603
pro vyhledávání: '"Agricultural planning"'
Autor:
Fehaid Alqahtani
Publikováno v:
Journal of Water and Climate Change, Vol 15, Iss 4, Pp 1439-1458 (2024)
Predicting the average monthly rainfall in Mecca is crucial for sustainable development, resource management, and infrastructure protection in the region. This study aims to enhance the accuracy of long short-term memory (LSTM) deep regression models
Externí odkaz:
https://doaj.org/article/8abf5b6c1e5348a485a0c26b5a4b8912
Autor:
Muhammet Azlak, Levent Şaylan
Publikováno v:
Soil and Water Research, Vol 19, Iss 1, Pp 64-76 (2024)
Evapotranspiration (ET) is one of the main components of the hydrological cycle and plays a crucial role for water resources. It is sensitive to climate change, and therefore, estimating ET under changing climatic conditions is essential in comprehen
Externí odkaz:
https://doaj.org/article/2fe08d154f5a4c09896c6d507cc9b88d
Publikováno v:
AgriEngineering, Vol 6, Iss 1, Pp 205-227 (2024)
In Mediterranean farming systems, the semi-arid conditions and agricultural ecosystems have made site-specific management an important approach. This method aims to understand and handle the variability of soil properties and crop management, particu
Externí odkaz:
https://doaj.org/article/905f2284949d4b4c8f0c778e0212c61b
Autor:
Yotsaphat Kittichotsatsawat, Anuwat Boonprasope, Erwin Rauch, Nakorn Tippayawong, Korrakot Yaibuathet Tippayawong
Publikováno v:
AIMS Agriculture and Food, Vol 8, Iss 4, Pp 1052-1070 (2023)
Coffee is a major industrial crop that creates high economic value in Thailand and other countries worldwide. A lack of certainty in forecasting coffee production could lead to serious operation problems for business. Applying machine learning (ML) t
Externí odkaz:
https://doaj.org/article/3d87b10e5c9141a2b1238639949628a6
Autor:
INDRANI CHOUDHURY, BIMAL BHATTACHRYA
Publikováno v:
Journal of Agrometeorology, Vol 25, Iss 2 (2023)
The long-term fluctuations in dry-wet spells were assessed at standard meteorological week (SMW) over India using Climate Hazards Group InfraRed Precipitation with Station (CHIRPS) rainfall data. The weekly sum of rainfall was embedded in Markov Chai
Externí odkaz:
https://doaj.org/article/2840ef75c3e5437fb07339d6997e7253
Publikováno v:
Frontiers in Sustainable Food Systems, Vol 6 (2023)
Effective governance of agricultural systems is needed for achieving goals of food security, resilient food systems, and addressing the impacts of climate change. Local governments have an increasing interest in the role of agriculture in meeting the
Externí odkaz:
https://doaj.org/article/b4ee3ebaf7214657990643cb7bc5f066
Akademický článek
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Publikováno v:
Acta Technologica Agriculturae, Vol 24, Iss 2, Pp 55-60 (2021)
The probability of a working day is the ratio of workable days to the total available days in a working season for the intended operation. Soil moisture is the most important limiting factor in terms of rice harvesting. Therefore, to determine the PW
Externí odkaz:
https://doaj.org/article/1bdff927ad5d4eab86847e656b158416
Autor:
Jefferson Rodrigues dos Santos Silva, Matheus Kucmanski Taveira, Rodrigo Otávio Peréa Serrano, Anderson Azevedo Mesquita, José Genivaldo do Vale Moreira
Publikováno v:
Revista Ambiente & Água, Vol 16, Iss 1, Pp 1-12 (2021)
Due to randomness in the occurrence of hydrological phenomena, the estimation of probable rain precipitation in a given region is important in assisting decision-making. This work aimed to adjust the probabilistic model of the Gamma distribution to t
Externí odkaz:
https://doaj.org/article/34a169c503d24eef9533a83007444401
Publikováno v:
Revista Ceres, Vol 68, Iss 1, Pp 1-9 (2021)
ABSTRACT The estimate of the potential sugarcane productivity through agroclimatic models aids in the agricultural planning of the crops and the quantification of the yield for a given region. For these estimated values to be considered robust there
Externí odkaz:
https://doaj.org/article/d7eb6885f28a46beaba6e7f31272f706