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The drawback of the existing national agricultural statistics system is that the acquisition of data has not been based on scientific approaches, so it results in bias of data. The aim of this paper is to introduce a new method for estimating rice area called ‘Area Frame Sampling’ based on points observation. The method employs not only statistics but also GIS, remote sensing, and information technology. Field survey to the sample points is aiming to observe and record the growth phase of rice. Data communication from field level to central level by SMS gateway is involved in supporting timely generation of reliable information on the crop area. The analysis of rice area refers to the extrapolation from sample to population, then, the estimation of rice production is a multiplication of rice harvest area and productivity derived from samples of crop cutting. Since we know both the period of growth phase and growth cycle of rice we can predict when the rice would be harvested. Each time the field survey is conducted then the acreage of each rice growth phase including harvest area can be derived. The analysis of rice area refers to the extrapolation from sample to population. Then the estimation of rice production is the multiplication of rice harvest area and productivity derived from samples of crop cutting. The accuracy of rice area estimate is good; it is indicated by the value of the coefficient of variation, namely <5 percent. It is concluded that area frame sampling approach for rice statistics can be implemented successfully and can be developed for other food crop statistics.
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Badea, A.; D. Mihai; M. Marin; R. Mudura; I. Matei; C. Manole; R. Girbea, 1998. “MARS MERA Regional Inventories Results in Romania”, Proceedings 1994-1996 Results Conference of Phare Multi-Country Environment Programme MARS and Environmental Related Applications (MERA) Project (Dec. 10-11, 1996, Bratislava), Session II : 161-170.
BPPT-EU, 2001. SARI (satellite Assessment of Rice in Indonesia. Final Phese A Technical Report. Jakarta.
BPS (Badan Pusat Statistik)-Deptan (Departemen Pertanian), 1995. Pedoman Pengumpulan Data Tanaman Pangan dan Hortikultura.
BPS (Badan Pusat Statistik)-Deptan (Departemen Pertanian), 2003. Pedoman Pengumpulan Data Tanaman Pangan dan Hortikultura.
Cressie, N., 1993. Statistics for spatial data. Revised Edition. John Wiley & Sons, New York.
Christian, G. And J.C. Porchier, 1998. Land cover and land use classification using TER-UTI. Int’l Con. on Agric. Stat (Proc.). Int’l Stat. Institute. Washington, D.C.
Davies, C., 2009. Area Frame Design for Agricultural Surveys. Development Division, NASS-USDA. Washington DC 20250.
Delincé, J., 2001. A European approach to area frame survey. the Conference on Agricultural and Environmental Statistical Applications (Proc.). Rome, Italy. p. 463-472
European Communities-EC (2003). The Lucas (Land Use/Cover Area Frame Statistical Survey) survey: European statisticians monitor territory. Working papers and studies. European Union
Gallego, F.J., 1995. Sampling Frames of Square Segments. Report EUR 1631 EN. Joint Research Centre, European Commission, Luxembourg
Garcia, R.M., 2012. Using area frame for agricultural censuses and surveys: The Philippines Experience. Regional Workshop on Sampling for Agricultural Censuses and Surveys. Bangkok, Thailand.
Garibay, R., and M. Steiner, 1998. Area frame point sampling: An explanatory study to measure Nicaragua agricultural production. Sixth IWG.AGRI Seminar on Agricultural Statistics. St.Petersburg-Russian Federation, 29 June - 3 July 1998. FAO, UN/ECE, EUROSTAT.
Sarah Hoffman, S., M Steiner, 2013. Pilot Point Sample Area Frame for Agricultural Statistics in Nigeria. Proceedings 59th ISI World Statistics Congress, 25-30 August 2013, Hong Kong (Session STS043). Pp.1936-1941.
Hosaka, M., 2014. Rice objective yield survey in Japan. Crop Monitoring for Improved Food Security (Proc.). The 25 th Asia and Fasific Commision on Agricultural Statistics. Vientiane, Lao PDR, 17 February 2014. FAO-ADB.
Jinguji, I., 2014. Dot sampling method for area estimation. Crop Monitoring for Improved Food Security (Proc.). The 25 th Asia and Fasific Commision on Agricultural Statistics. Vientiane, Lao PDR, 17 February 2014. FAO-ADB.
Kamikura, K., 2012. Estimation of Planted Area using the Dot Sampling Method. The 24 th Asia and Fasific Commision on Agricultural Statistics. Da Lat, Viet Nam. FAO.
Porchier, J.C., 1990. La Teledetection dans dans le Programme d’Enguetes du SCEES. Conference on the Appl. Of Remote Sensing to Agricultural Statistics. Office for Publication of the E.C. Luxemberg.
Ripley, B.D., 1981. Spatial Statistics, John Wiley & Son, New York
Taylor, C. Sannier, J. Delince, FJ. Gallego, 1997. Regional Crop Inventories in Europe Assisted by Remote Sensing : 1988-1993, Synthesis Report of the MARS Project – Action I, Joint Research Centre, Luxembourg.