Composting: An Eco-friendly Technology for Sustainable Agriculture

Onwosi, Chukwudi O.; Ndukwe, Johnson K.; Aliyu, Godwin O.; Chukwu, Kenechi O.; Ezugworie, Flora N.; Igbokwe, Victor C.

doi:10.1007/978-981-15-3372-3_9

Cited by 5 publications

(2 citation statements)

References 112 publications

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“…The biological processes exerted by VL have also been observed to accelerate the oxidative effects and stability of organic matter and associated microorganisms, including GF and Azot [14]. In addition, it is possible that the most studied aspect of VL is its effect on the properties of soil porosity, where aeration, moisture-holding capacity and microbial exchange are favored [43][44][45][46].…”

Section: Discussionmentioning

confidence: 99%

Effects of Glomus fasciculatum, Azotobacter chroococcum and Vermicompost Leachate on the Production and Quality of Tomato Fruit

Alarcón-Zayas,

Hernández-Montiel,

Medina-Hernández

et al. 2024

Microbiology Research

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Arbuscular mycorrhizal fungi, plant-growth-promoting bacteria (PGPB) and vermicompost constitute important environmental and economic resources for improving the production and quality of tomato fruits. The present research aims to determine the single and combined effect of Glomus fasciculatum (Gf) fungus, Azotobacter chroococcum (Azot), PGPB and vermicompost leachate (VL) organic fertilizer on the yield and quality of tomato fruit. Thus, an open-field experiment was established with seven treatments, a control and three replicates. Total soluble solids, vitamin C, acidity, fruit mass and fruit diameter were evaluated as fruit quality variables; the yield was recorded and estimated in tons per hectare−1. The results showed that Gf, Azot and VL were effective in promoting tomato yield and fruit quality. As a trend, the triple combination (Gf + Azot + VL) evidently obtained the highest values of total soluble solids, vitamin C and fruit acidity. The range of improvement concerning the fruit size was 66.6% (single treatment) compared to 78.5% (triple combination). The maximum yield of 54.5 t/ha−1 was recorded for the Gf + Azot + VL combination. Therefore, G. fasciculatum, A. chroococcum and VL are considered useful as organic alternatives for open-field tomato biofertilization programs in tropical countries.

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Section: Discussionmentioning

confidence: 99%

Effects of Glomus fasciculatum, Azotobacter chroococcum and Vermicompost Leachate on the Production and Quality of Tomato Fruit

Alarcón-Zayas,

Hernández-Montiel,

Medina-Hernández

et al. 2024

Microbiology Research

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“…The generation of municipal solid waste (MSW) is growing fast with the increasing human population and urbanization around the world [1] . Composting of organic fraction of municipal solid waste (OFMSW), which accounts for more than half of the total amount of MSW [2] , is a cost-effective and environmentally sustainable way to reduce pressure on the environment by converting degradable matters to value-added products such as nutrient-rich fertilizer, biopesticide or for bioremediation usage [3][4][5][6] . However, the application of conventional composting is limited in China because it was severely affected by the contamination from the mixture of undegradable wastes that might be containing toxic substances, leading to an overdose of heavy metals within the products [7,8] .…”

Section: Introduction mentioning

confidence: 99%

Cost-effective method for degradability identification of MSW using convolutional neural network for on-site composting

Huang

Dai

et al. 2021

International Journal of Agricultural and Biological Engineering

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Automatically identifying the degradability of municipal solid waste (MSW) is one of the key prerequisites for on-site composting to prevent contaminations from undegradable wastes. In this study, a cost-effective method was proposed for the degradability identification of MSW. Firstly, the trainable images in the datasets were increased by performing four different sizes of cropping operations on the original images captured on-site. Secondly, a lite convolutional neural network (CNN) model was built with only 3.37 million parameters, and then a total of eight models were trained on these datasets with and without the image augmentation operations, respectively. Finally, a degradability identification system was built for on-site composting, where the images were cut to different sizes of small squares for prediction, and the experiments were conducted to find the best combinations of the trained models and the cutting size. The results showed that the validation accuracies of the models trained with the augmentation operations were 0.91-2.07 percentage points higher, and in the evaluation of the degradability identification system the best result was achieved by the combination of W8A dataset and cutting size of 1/14 reached an accuracy of 91.58%, which indicated the capability of this cost-effective method to identify the degradability of MSW.

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Microbial Fortification to Enhance the Disease-Suppressive Ability of Compost

Jyoti,

Khwairakpam

2024

Advancement in Solid Waste Management and Treatment

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Composting: An Eco-friendly Technology for Sustainable Agriculture

Cited by 5 publications

References 112 publications

Effects of Glomus fasciculatum, Azotobacter chroococcum and Vermicompost Leachate on the Production and Quality of Tomato Fruit

Effects of Glomus fasciculatum, Azotobacter chroococcum and Vermicompost Leachate on the Production and Quality of Tomato Fruit

Cost-effective method for degradability identification of MSW using convolutional neural network for on-site composting

Microbial Fortification to Enhance the Disease-Suppressive Ability of Compost

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