Soil moisture is one of the main factors in agricultural production and hydrological cycles, and its precise prediction is important for the rational use and management of water resources. However, soil moisture involves complex structural characteri...
Faba bean (Vicia faba L.) is an important source of protein, but breeding for increased yield stability and stress tolerance is hampered by the scarcity of phenotyping information. Because comparisons of cultivars adapted to different agroclimatic zo...
Computational intelligence and neuroscience
Dec 30, 2015
The presented paper compares forecast of drought indices based on two different models of artificial neural networks. The first model is based on feedforward multilayer perceptron, sANN, and the second one is the integrated neural network model, hANN...
Rising atmospheric CO2 and intensified drought are reshaping nutrient dynamics in C3 plants, with implications for ecosystem function and food security. To investigate how these stressors jointly affect nutrient homeostasis, we examined Brachypodium ...
The extensive and gradual onset of drought prompts critical examination of the alterations and engagement among substantial demographics during the drought's advancement and the consequent effects of such shifts on drought detection. This research ex...
Global climate change exacerbates drought stress, severely affecting plant growth, agricultural productivity, and the biosynthesis of secondary metabolites. Alkaloids, nitrogenous compounds with diverse biological activities, hold substantial medicin...
As warmer temperatures enhance atmospheric moisture, hydrological droughts tend to intensify in most regions of the globe. Consequently, younger generations are expected to face a more severe risk of hydrological drought during their lifetimes, empha...
Water science and technology : a journal of the International Association on Water Pollution Research
Jun 1, 2023
Reliable drought prediction plays a significant role in drought management. Applying machine learning models in drought prediction is getting popular in recent years, but applying the stand-alone models to capture the feature information is not suffi...
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