Downloads provided by UsageCounts
{"references": ["Anup K. Prasad, C. Lim. P. Ramesh. A. Singh. And K. Menas \"Crop yield estimation model for Iowa using remote sensing and surface parameters\", 2006.", "Anup K. Prasad a, Lim Chai b, Ramesh P. Singh a, b,*, Menas Kafatos b \"Crop yield estimation model for Iowa using remote sensing and surface parameters. International Journal of Applied Earth Observation and Geo information\" 8 (2006) 26\u201333.", "Dr. Muhammad Hanif \"Satellite based crop monitoring system in Pakistan\".", "Punjab CRS: Base Line Survey \"Agriculture Information System building Provincial Capacity for Crop Forecasting and Estimation\", 2012.", "Satellite based crop monitoring system in Pakistan, SUPARCO (Volume 1, June 2006).", "Satellite based crop monitoring system in Pakistan, SUPARCO (Volume II, August 2007).", "Satellite based crop monitoring system in Pakistan, SUPARCO (Volume III, August 2008).", "Reynolds, M. Yittayew, D. C and Slack, \"Estimation crop yields and production by integrating the FAO Crop Speci. C Water Balance model with real-time satellite data and ground-based ancillary data\". International Journal of remote sensing, vol, 21, no.18, 3487-3508, 2000.", "McNairn, H., Ellis, J., Van Der Sanden, J. J., Hirose, T., and Brown, R. \"Providing crop information using RADARSAT-1 and satellite optical imagery\", International Journal of Remote Sensing, 23(5):851-870, 2002.\n[10]\tShafian. S. and M. Valadanzouj (2007) \"Assessment of Crop Yield Estimation Methods by Using Satellite Images and Ground Observation\", GIS development, Map Asia.\n[11]\tWu, B. (2004) China Crop Watch System with Remote Sensing. Journal of Remote Sensing, 8 (6): 481-497.\n[12]\tFelix Rembold, Jacques Delinc\u00e9, Hendrik Boogard, Armin Burger (2006) \"Spatial Information Systems in Crop Monitoring: Developing New Global Models and Sharing the data\".\n[13]\tMeng Ji-hua, Wu Bing-fang, Li Qiang-zi, Zhang Lei. An Operational Crop Growth Monitoring System by Remote Sensing. High Technology Letters, 2007. 17 (1) 94-99.\n[14]\tWu Bingfng and Liu Chenglin, \"An Operational Crop Growth Monitoring System with Coupling of AVHRR and VGT Data by High Technology Letters\", 2007.\n[15]\tZhang Feng, Wu Bingfang, \"A Method for Extract Regional Crop Growth Information with Time Series of NDVI Data\". Journal of Remote Sensing, 2004."]}
The purpose of this study is to compare the conventional crop monitoring system with the satellite based crop monitoring system in Pakistan. This study is conducted for SUPARCO (Space and Upper Atmosphere Research Commission). The study focused on the wheat crop, as it is the main cash crop of Pakistan and province of Punjab. This study will answer the following: Which system is better in terms of cost, time and man power? The man power calculated for Punjab CRS is: 1,418 personnel and for SUPARCO: 26 personnel. The total cost calculated for SUPARCO is almost 13.35 million and CRS is 47.705 million. The man hours calculated for CRS (Crop Reporting Service) are 1,543,200 hrs (136 days) and man hours for SUPARCO are 8, 320hrs (40 days). It means that SUPARCO workers finish their work 96 days earlier than CRS workers. The results show that the satellite based crop monitoring system is efficient in terms of manpower, cost and time as compared to the conventional system, and also generates early crop forecasts and estimations. The research instruments used included: Interviews, physical visits, group discussions, questionnaires, study of reports and work flows. A total of 93 employees were selected using Yamane’s formula for data collection, which is done with the help questionnaires and interviews. Comparative graphing is used for the analysis of data to formulate the results of the research. The research findings also demonstrate that although conventional methods have a strong impact still in Pakistan (for crop monitoring) but it is the time to bring a change through technology, so that our agriculture will also be developed along modern lines.
SRS/GIS, sample frame., satellite remote sensing/geographic information system, Crop reporting service, area frame
SRS/GIS, sample frame., satellite remote sensing/geographic information system, Crop reporting service, area frame
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 6 | |
| downloads | 6 |

Views provided by UsageCounts
Downloads provided by UsageCounts