Hossein Shirani's research while affiliated with Vali-e-Asr University Of Rafsanjan and other places

... Second, inconsistent scales of covariates from remote sensing images increase uncertainty. Most ML models are robust to multicollinearity between covariates, and RF can automatically handle nonlinear relationships and interactions between predictor variables to obtain a high prediction accuracy [4,52]. But the various indices calculated from S1 and S2 data were at 10 m, while the other covariates from other geospatial data were at 1,000 m. ...

... High production costs necessitate that farm owners accurately forecast their yields and manage distribution effectively. Both neural networks (such as deep recurrent neural networks and deep neural networks) and statistical models (including random forest, gradient boosting, decision trees, multivariate regression, and association rule learning) are used to analyze the current situation and determine optimal farming conditions to maximize yield [125,126,127]. Controlled environments allow for the adjustment of various factors such as light intensity, humidity, and fertilizer levels, whether in soil or solutions. Guidelines are available to help cultivate different crops and respond to changes in these parameters, supported by comprehensive virtual agronomist software that assists in making informed decisions. ...

... Manures are basically the origin of these bacteria besides human sewage and also play a dual role; equally good and bad, in their transport. Manure particles can adsorb bacteria cells thus, they may retain cells in soil pores or facilitate their transport as carriers (Tabatabaei et al., 2022). Therefore, neglecting the impact of such constituents may result in an incomplete understanding of bacterial mobility in contaminated soil environments, and may lead to inaccurate assessments of the potential risks of fecal bacteria to soil and water resources in real conditions. ...

... The framework was operated by someone through the web using transferable learning. According to the testing findings, when access to Wi-Fi is enabled, the energy use of the framework dramatically rises [23]. To offer the best classification result in lettuce deficiency, we developed an effective classification framework for hydroponic lettuce deficiency, and its contributions are mentioned below. ...

... The widespread contamination of soils and groundwater by microbes can deteriorate their quality and threaten human and environmental health [1][2][3][4][5][6][7][8]. Microbes may also be introduced to soils and groundwater to remove recalcitrant pollutants (i.e., hyper-hydrophobic petroleum components) through bioaugmentation techniques [6]. ...

... Dissolved organic matter (DOM) refers to heterogeneous compounds that are capable of passing through a 0.45 μm pore size filter and contain numerous active functional groups (such as hydroxyl, phenolic hydroxyl, carboxyl, quinone, etc.) that can complex with heavy metals [8]. Soil structure, moisture, and organic matter can vary significantly between forest land, dry cropland, and vegetable land [9,10], resulting in DOM components with different expressions and structures of. Forest land typically has a good soil structure and moisture retention due to the stabilizing effect of tree root systems. ...

... Whatever the soil texture and more markedly in semi-arid and arid areas, it is important to ascertain the water retention properties of soils in order to manage the water supply and consequently crop growth appropriately (Gaiser, Graef, and Cordeiro 2000). To accomplish this, pedotransfer functions that enable prediction of the water retention properties of soils have therefore been developed (e.g., Bouma and Van Lanen 1987;W€ osten et al. 1999;Ostovari, Asgari, and Cornelis 2015;Kalumba et al. 2021;Singh et al. 2020;Xu et al. 2021), with several studies focusing on soils of semi-arid and arid areas (T oth et al. 2012;Khlosi et al. 2013Khlosi et al. , 2016Al Majou, Hassani, and Bruand 2018;De Paepe, Bono, and Alvarez 2018;Santra et al. 2018;Dharumarajan et al. 2019;Soleimani et al. 2020). At the same time, some studies aimed at a better understanding of the water retention properties of soils according to the characteristics of their clay minerals but the validity of the results for soils of semi-arid and arid areas remains unclear (Gaiser, Graef, and Cordeiro 2000;Moret-Fern andez et al. 2013). ...

... Numerous studies shown that desert soil quality improved significantly after reclamation. First of all, reclamation improves the ability of desert soils to withstand wind erosion and reduces the risk of soil degradation (Fallahzade et al., 2020;Song et al., 2021). Secondly, reclamation can improve the texture and physical structure of desert soil with the increase in clay and silt particles and SOC content and the decrease in soil bulk density, which in turn improves the soil's ability to retain water and nutrients (Wang et al., 2012;He et al., 2020;Cao et al., 2021). ...

... In order to determine the micronutrient (Işık 2016), partially iron, common nitrogen, zinc and phosphorus deficiency (Kızılgöz et al. 1998). In addition, in the sensitivity analysis, it was reported that pistachio yield was affected by the Cu, K and Fe content of the leaves (Pourmohammadali et al. 2020). ...

... Soil textures were determined by hydrometer [29,30], pH was measured with the pH meter, electrical conductivity with an EC meter [31], and soil organic matter was determined by using the methodology of Nelson [32,33]. Calcium concentration was estimated with the methodology of Lanyon and Heald [34,35]. Nitrogen concentration was estimated with the Kjeldahl methodology [36,37] and phosphorus, potassium, and sodium contents by the methodology of Olsen and Sommers [38,39]. ...