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Use of neural network and multivariate statistics in the assessment of pellets produced from the exploitation of agro-industrial residues
2022
Resende, Dieimes Ribeiro | da Silva Araujo, Elesandra | Lorenço, Mário Sérgio | Lira Zidanes, Uasmim | Akira Mori, Fábio | Fernando Trugilho, Paulo | Lúcia Bianchi, Maria
The production of pellets from residual biomass generated monocropping by Brazilian agribusiness is an environmentally and economically interesting alternative in view of the growing demand for clean, low-cost, and efficient energy. In this way, pellets were produced with sugarcane bagasse and coffee processing residues, in different proportions with charcoal fines, aiming to improve the energy properties and add value to the residual biomass. The pellets had their properties compared to the commercial quality standard. Artificial neural networks and multivariate statistical models were used to validate the best treatments for biofuel production. The obtained pellets presented the minimum characteristics required by DIN EN 14961–6. However, the sugarcane bagasse biomass distinguished itself for use in energy pellets, more specifically, the treatment with 20% of fine charcoal because of its higher net calorific value (17.85 MJ·kg⁻¹) and energy density (13.30 GJ·m⁻³), achieving the characteristics required for type A pellets in commercial standards. The statistical techniques were efficient and grouped the treatments with similar properties, as well as validated the sugarcane biomass mixed with charcoal fines for pellet production. Thus, these results demonstrate that waste charcoal fines mixed with agro-industrial biomass have great potential to integrate the production chain for energy generation.
Показать больше [+] Меньше [-]Advancements in solar technologies for sustainable development of agricultural sector in India: a comprehensive review on challenges and opportunities [Erratum: June 2022, v.29(29); p.43635]
2022
Thakur, Amit Kumar | Singh, Rajesh | Gehlot, Anita | Kaviti, Ajay Kumar | Aseer, Ronald | Suraparaju, Subbarama Kousik | Natarajan, Sendhil Kumar | Sikarwar, Vineet Singh
Agriculture is the main occupation of the majority of people in India. The majority of the population in India is dependent (directly or indirectly) on agriculture as an occupation. The agriculture sector requires more freshwater and power for better yield in the current scenario. Nevertheless, the ever-increasing rate of energy consumption, limited fossil fuels, and rising pollution have made the expansion of renewable resources essential. Due to the suitable solar potential available in India, the deployment of solar energy has been more as compared to other renewable resources. The current study aims to discuss the various technologies, initiatives and policies of solar energy usage in agriculture. This work delivers an assessment of the advancement of solar energy vis-à-vis agricultural applications through the greenhouse concept and photovoltaic approach in India. Various agricultural applications of solar energy, such as solar water desalination system, solar water pumping system, solar crop dryer system for food safety, etc. are discussed as a means to promote solar-based technology. It also highlights the scenario of solar energy in India with important accomplishments, developmental approaches, and future potential. In-depth studies of various policies and government initiatives including those in research and development are also discussed. The current survey on solar technologies will be an aid to agribusiness frameworks to comprehend the statuses, obstructions, and extent of advancement. Finally, some future recommendations for further developments in this approach are discussed. This work sheds light on varied areas of solar energy-assisted agricultural systems as a potentially sustainable and eco-friendly pathway.
Показать больше [+] Меньше [-]Application of agronomical approaches to rehabilitating territories of the Republic of Belarus affected by the Chernobyl disaster
2020
Radziuk, Hanna | Shapsheeva, Tatiana
The environmental radiation pollution resulting from the Chernobyl nuclear disaster in 1986 is one of the main factors limiting agriculture in the eastern regions of Belarus. In the first decade after the accident, the need to mitigate the effects of radiation had a key role in the implementation of countermeasures. As a result, there are widespread areas of high soil fertility potential in the contaminated zone. Today there is a possibility to include new crops (e.g. sugar beet [Beta vulgaris L.]) into regular crop rotation to increase the effectiveness of agriculture and to use the accumulated soil fertility potential. The article discusses a possible agronomic approach to estimating specific fields (working plots) at the scale of agricultural enterprises for placement of sugar beet. The territory of the Mahilyow region of the Republic of Belarus was examined from the perspective of soil suitability to the cultivation of sugar beet. Along with estimating radionuclide accumulation by sugar beet roots, the areas of soils suitable for sugar beet within agricultural enterprises were calculated for selected districts. It was revealed that sugar beet has low ability to absorb radiocaesium and radiostrontium from soils. The contamination density does not restrict the possibility for placement of sugar beet. Instead, soil fertility, specifically content of plant-available phosphorus and boron, was the limiting factor in that. Based on data from field experiments and soil fertility data, a number of enterprises were selected where sugar beet could be included into crop rotations to high economic effect.
Показать больше [+] Меньше [-]Human capital accumulation and its effect on agribusiness performance: the case of China
2017
Udimal, Thomas Bilaliib | Jincai, Zhuang | Ayamba, Emmanuel Caesar | Sarpong, Patrick Boateng
This study investigates the effect of accumulated human capital on the performance of agribusinesses in China. Four hundred fifty agribusiness owners were interviewed for the study. Growth in sales over the last 5 years was used as a measure of performance. The following variables were reviewed and captured as those constituting human capital: education, raised in the area, parents being entrepreneurs, attending business seminars/trade fairs, managerial experience, similar work experience, cooperative membership, and training. Logit regression model and inferential statistics were used to analyze the data. The logit regression model was used to analyze the effect of accumulated human capital on growth in sales. The inferential statistics on the other hand was used to measure the association between age, education, sex, provinces, and the categories of growth. Our study found that parents who are entrepreneurs and attend business seminars/trade fairs, as well as have managerial experience, similar work experience, education, and training, display a statistically significant positive effect on the growth in sales.
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