For effective planning and execution of conservation programs that sustain productivity, an attempt has been made to delineate
India into 17 Soil Conservation Regions (SCRs). To demarcate the SCRs, ...attributes of soil (depth, texture, slope and erosion
hazards) have been integrated on a land capability classification map, over which were superimposed the maps of annual rainfall,
daily rainfall Erosion Index, and land use. SCR boundaries were further refined by superimposing a map of agroecological regions,
which has a bias for maximizing plant production. The area for each SCR was finalized by using a catchment region map of the
country to ensure that SCR boundaries align with the boundaries of the nearest natural watershed, sub-catchment, catchment,
basin, or water resource region. Further delineation of SCRs into Soil Conservation Areas (SCAs) as the principal management
unit, and micro-watershed areas called Soil Conservation Units (SCUs) also is discussed. Each SCU is about 1,500 to 2,000
ha (3,750 to 5,000 ac) in size on a scale of 1:50,000. Delineation of SCRs into SCAs and SCUs is based on predominant land
use, production potential, crop evapotranspiration (ET) requirements, scope for development of water resources, prevailing
erosion rates and conservation problems, population-supporting capacities, and technological innovations in a given area.
Planning at the SCU level ultimately will pave the way for the creation of a nationwide Soil Conservation Service that can
help maximize sustainable production.
ANN models for coplanar strip line analysis and synthesis Narayana, J.L.; Sri Rama Krishna, K.; Pratap Reddy, L.
2008 International Conference on Recent Advances in Microwave Theory and Applications,
2008-Nov.
Conference Proceeding
Neural networks recently gained attention as fast and flexible vehicles to microwave modeling, simulation and optimization. After learning and abstracting from microwave data, through a process ...called training, neural network models are used during microwave design to provide instant answers to the task learned. This paper presents simple and accurate ANN models for the analysis and synthesis of CPS structures to very accurately compute the characteristic parameters and the physical dimensions respectively for the required design specifications.
Design of Microstrip Antennas Using Artificial Neural Networks Narayana, J. Lakshmi; Krishna, K. Sri Rama; Reddy, L. Pratap
International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007),
2007-Dec., Letnik:
1
Conference Proceeding
A general design procedure is suggested for the micro strip antennas using artificial neural networks and this is demonstrated using the rectangular patch geometry. In the design procedure, synthesis ...and analysis are defined as forward side and reverse side of the problem.
PDF
