Overview on agricultural potentials of biogas slurry (BGS): applications, challenges, and solutions

Kumar, Ajay; Verma, Lahur Mani; Sharma, Satyawati; Singh, Neetu

doi:10.1007/s13399-021-02215-0

Cited by 18 publications

(8 citation statements)

References 200 publications

(342 reference statements)

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“…Omran and Baek (Omran and Baek, 2022), reported that agro-industrial biowaste can be valorized to produce green nanomaterials suitable for use in the treatment of wastewater. The potential of producing bio-hydrogen from various agro-industrial wastewater has been reported by Marone et al (2017) and Kumar et al (2022). A combination of dark fermentation and microbial electrolysis displayed a promising alternative for maximizing the conversion of agro-industrial wastewaters and byproducts into bio-hydrogen, as demonstrated by the findings.…”

Section: Introductionmentioning

confidence: 79%

Performance analysis and modeling of bio-hydrogen recovery from agro-industrial wastewater

Hossain

Ali²,

Cheng³

et al. 2022

Front. Energy Res.

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Significant volumes of wastewater are routinely generated during agro-industry processing, amounting to millions of tonnes annually. In line with the circular economy concept, there could be a possibility of simultaneously treating the wastewater and recovering bio-energy resources such as bio-hydrogen. This study aimed to model the effect of different process parameters that could influence wastewater treatment and bio-energy recovery from agro-industrial wastewaters. Three agro-industrial wastewaters from dairy, chicken processing, and palm oil mills were investigated. Eight data-driven machine learning algorithms namely linear support vector machine (LSVM), quadratic support vector machine (QSVM), cubic support vector machine (CSVM), fine Gaussian support vector machine (FGSVM), binary neural network (BNN), rotation quadratic Gaussian process regression (RQGPR), exponential quadratic Gaussian process regression (EQGPR) and exponential Gaussian process regression (EGPR) were employed for the modeling process. The datasets obtained from the three agro-industrial processes were employed to train and test the models. The LSVM, QSVM, and CSVM did not show an impressive performance as indicated by the coefficient of determination (R2) < 0.7 for the prediction of hydrogen produced from wastewaters using the three agro-industrial processes. The LSVM, QSVM, and CSVM models were also characterized by high prediction errors. Superior performance was displayed by FGSVM, BNN, RQGPR, EQGPR, and EQGPR models as indicated by the high R2 > 0.9, an indication of better predictability with minimized prediction errors as indicated by the low root mean square error (RMSE), mean square error (MSE), and mean absolute error (MAE).

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Section: Introductionmentioning

confidence: 79%

Performance analysis and modeling of bio-hydrogen recovery from agro-industrial wastewater

Hossain

Ali²,

Cheng³

et al. 2022

Front. Energy Res.

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“…All digestates significantly increased this parameter, suggesting the nutritional beneficial effect, mainly N intake in lettuce and tomato plants. Although bioproduct composition presents macro and micronutrients, they also contribute with microorganisms that promote plant growth (18) by mechanisms like hormone production, nutrient solubilization, and N 2 fixation. This may explain the increase in plant biomass, despite the lower nutrient content with respect to inorganic fertilizer, indicating that in a bioproduct, microbial content may be more important than nutrient concentration.…”

Section: Discussionmentioning

confidence: 99%

Effect of bioslurries on tomato Solanum lycopersicum L and lettuce Lactuca sativa development

et al. 2022

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Bioslurries, obtained by anaerobic digestion of fresh organic matter, are emerging as a cheaper and low-impact alternative for synthetic products in agriculture. The aim of this study was to evaluate bioslurry obtained from biogas digestion (Biog), bioslurry for plant nutrition by FAO (Bfao), and lactic fermentation (Blac) as biostimulant in tomato and lettuce plants. Based on a toxicity test, a 10% dilution was finally applied to the plants. In lettuce, Bfao and Blac significantly increased aerial biomass (2.17 ±0.54 and 2.33 ±1.13 g respectively), regarding water control (1.16 ±0.60 g), while root biomass was only increased by Bfao (1.60 ±0.44 g) compared to control (0.66 ±0.34 g). All digestates increased chlorophyll content index (CCI), while yield (Fv/Fm) and performance index (Plabs) did not show differences with water control. In tomato, only aerial biomass was significantly increased by Bfao. All digestates significantly increased CCI, while Fv/Fm was only significantly higher in Bfao and Blac, related to water control. PIabs showed no differences. In both plant species, commercial fertilizer showed significantly higher values for all parameters. In conclusion, all digestates stimulated plant growth, Bfao showed the highest effect on tomatoes and lettuce biomass followed by Blac and Biog, being a cheaper, safer and lower-impact alternative for traditional products for crop growing. Highlights Digestates are valuable by-products, with different characteristics and effects on plant biomass, suggesting complex interactions. All digestates stimulated tomatoes and lettuce growth. The digestate designed by FAO showed the highest effect on plant biomass, constituting an adequate alternative for a cheaper, safer and low-impact strategy for crop growth.

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“…In addition, gaps exist in the research, the legislation, and sufficient monitoring, which hamper the large-scale application of nanofertilizers. These small particles can penetrate biological systems more deeply and pose great potential dangers; hence, the toxicity, the safety, and the effects of NPs on the environment are still unknown [ 129 ]. Chemical and physical procedures yield NPs that are more dangerous than those that are produced by biological approaches.…”

Section: Limitations and Drawbacks Of Nanofertilizer Usementioning

confidence: 99%

Nanofertilizers: A Smart and Sustainable Attribute to Modern Agriculture

Nongbet

Mishra

Mohanta

et al. 2022

Plants

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The widespread use of fertilizers is a result of the increased global demand for food. The commonly used chemical fertilizers may increase plant growth and output, but they have deleterious effects on the soil, the environment, and even human health. Therefore, nanofertilizers are one of the most promising solutions or substitutes for conventional fertilizers. These engineered materials are composed of nanoparticles containing macro- and micronutrients that are delivered to the plant rhizosphere in a regulated manner. In nanofertilizers, the essential minerals and nutrients (such as N, P, K, Fe, and Mn) are bonded alone or in combination with nano-dimensional adsorbents. This review discusses the development of nanotechnology-based smart and efficient agriculture using nanofertilizers that have higher nutritional management, owing to their ability to increase the nutrient uptake efficiency. Additionally, the synthesis and mechanism of action of the nanofertilizers are discussed, along with the different types of fertilizers that are currently available. Furthermore, sustainable agriculture can be realised by the targeted delivery and controlled release of nutrients through the application of nanoscale active substances. This paper emphasises the successful development and safe application of nanotechnology in agriculture; however, certain basic concerns and existing gaps in research need to be addressed and resolved.

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Overview on agricultural potentials of biogas slurry (BGS): applications, challenges, and solutions

Cited by 18 publications

References 200 publications

Performance analysis and modeling of bio-hydrogen recovery from agro-industrial wastewater

Performance analysis and modeling of bio-hydrogen recovery from agro-industrial wastewater

Effect of bioslurries on tomato Solanum lycopersicum L and lettuce Lactuca sativa development

Nanofertilizers: A Smart and Sustainable Attribute to Modern Agriculture

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