The adverse impact of chemical agriculture in the India on the soil, water, environment and human health （of consumers and farm families） exacerbates rural poverty, even as agriculture productivity remains low. Poor...The adverse impact of chemical agriculture in the India on the soil, water, environment and human health （of consumers and farm families） exacerbates rural poverty, even as agriculture productivity remains low. Poor families, especially women, are the most affected by the health and environmental risks that are brought on by chemical agriculture, and they are hardest hit by the deteriorating productivity. On the other hand, the solid waste management problem in India is increasingly being felt in rural and urban areas. In this study, the author proposes to practice ofvermicomposting as technology for both sustainable agriculture and solid waste management, using the Hydro Bioreactor with vegetable waste. This technique is studied in the present research work which is simple and potentially inexpensive. Experiments were conducted to determine the changes in the physicochemical parameters and the dominant species of microorganisms at different temperatures during entire process of vermicomposting were investigated. The vermicompost developed in the hydro bioreactor was found to have comparatively high value of nutrients which can serve as natural fertilizer. The hydro bioreactor vermicomposting has proved very effective and efficient for developing compost from vegetable waste.展开更多
Firstly, the early warning index system of coal mine safety production was given from four aspects as per- sonnel, environment, equipment and management. Then, improvement measures which are additional momentum method...Firstly, the early warning index system of coal mine safety production was given from four aspects as per- sonnel, environment, equipment and management. Then, improvement measures which are additional momentum method, adaptive learning rate, particle swarm optimization algorithm, variable weight method and asynchronous learning factor, are used to optimize BP neural network models. Further, the models are applied to a comparative study on coal mine safety warning instance. Results show that the identification precision of MPSO-BP network model is higher than GBP and PSO-BP model, and MPSO- BP model can not only effectively reduce the possibility of the network falling into a local minimum point, but also has fast convergence and high precision, which will provide the scientific basis for the forewarnin~ management of coal mine safetv production.展开更多
文摘The adverse impact of chemical agriculture in the India on the soil, water, environment and human health （of consumers and farm families） exacerbates rural poverty, even as agriculture productivity remains low. Poor families, especially women, are the most affected by the health and environmental risks that are brought on by chemical agriculture, and they are hardest hit by the deteriorating productivity. On the other hand, the solid waste management problem in India is increasingly being felt in rural and urban areas. In this study, the author proposes to practice ofvermicomposting as technology for both sustainable agriculture and solid waste management, using the Hydro Bioreactor with vegetable waste. This technique is studied in the present research work which is simple and potentially inexpensive. Experiments were conducted to determine the changes in the physicochemical parameters and the dominant species of microorganisms at different temperatures during entire process of vermicomposting were investigated. The vermicompost developed in the hydro bioreactor was found to have comparatively high value of nutrients which can serve as natural fertilizer. The hydro bioreactor vermicomposting has proved very effective and efficient for developing compost from vegetable waste.
文摘Firstly, the early warning index system of coal mine safety production was given from four aspects as per- sonnel, environment, equipment and management. Then, improvement measures which are additional momentum method, adaptive learning rate, particle swarm optimization algorithm, variable weight method and asynchronous learning factor, are used to optimize BP neural network models. Further, the models are applied to a comparative study on coal mine safety warning instance. Results show that the identification precision of MPSO-BP network model is higher than GBP and PSO-BP model, and MPSO- BP model can not only effectively reduce the possibility of the network falling into a local minimum point, but also has fast convergence and high precision, which will provide the scientific basis for the forewarnin~ management of coal mine safetv production.
