Philippine Rice Information System (PRISM) : innovating the rice field data capture and monitoring using smartphone
2015
Maloon, J.M.; Quilang, E.J.P.; Mabalay, M.R.O.; de Dios, J.L.; Arocena, A.C.Jr.; Mirandilla, J.R.F.; Mabalot, P.A.; Barroga, M.I.; Dollontas, R.T.; de Peralta, G.C.; de Mesa, G.; Salazar, B.T.; Balleras, G.D.; Detoito, N.B.; Arida, G.; Donayre, D.K.M.; Martin, E.C.; Estoy, G.F.; Nelson, A.; Sparks, A.; Raviz, J.V.; Laborte, A.G.; Setiyono, T.O.; Maunahan, A.A.; Rala, A.B.; Villa, J.E.; Castilla, N.P.; Bhatti, Z.M.; Maco, D.D.; Bayot, R.S.; Barbierri, M.
Monitoring rice areas and different crop growth stages using pencil and paper and other equipment such as Global Positioning System (GPS) and Leaf Area Index (LAI) meter is quite hard and laborious. This study is part of the Philippine Rice Information System (PRISM) project which primarily aims to establish a nationwide information system on rice that provide information on rice areas and yield at a particular location and time, and information on factors that are affecting the yield. One of the technology that was used is to showcase the use of a smartphones as an all-in-one tool in field monitoring. The needed survey forms start of the season up to harvesting, damage assessment form, fertilizer and pesticides used, GPS and pocket LAI app had been installed in the smartphones. In 2014 wet season, the technology had been piloted in Regions 3, 4-B, 5, 6, 7, 8 and CAR [Cordillera Administrative Region]. A total of 310 farmer's field covering 19 municipalities were monitored and surveyed by DA-Regional Field Offices (DARFOs). Local Government Units (LGUs) and PhilRice staff. A minimum of six field visits/monitoring per farmer's field were done to capture the whole growing season. In times of calamities (typhoon, drought, flood), additional field monitoring is required. All data collected from the field per monitoring through the smartphones were sent via wifi to a database/aggregator by the field staff. Based from the data set in the aggregator, almost 96% of the total data were successfully sent. Results showed that majority of the rice maps produced from the pilot regions exhibited at least 85% accuracy based from the field data gathered through smartphones. Damages caused by typhoon Glenda in Leyte and Bicol Region as shown in the satellite images were not significant because most areas have no standing crop during the typhoon.
[Philippine Journal of Crop Science (Philippines)]
2016/PH/PH2016_0.rdf
Monitoring rice areas and different crop growth stages using pencil and paper and other equipment such as Global Positioning System (GPS) and Leaf Area Index (LAI) meter is quite hard and laborious. This study is part of the Philippine Rice Information System (PRISM) project which primarily aims to establish a nationwide information system on rice that provide information on rice areas and yield at a particular location and time, and information on factors that are affecting the yield. One of the technology that was used is to showcase the use of a smartphones as an all-in-one tool in field monitoring. The needed survey forms start of the season up to harvesting, damage assessment form, fertilizer and pesticides used, GPS and pocket LAI app had been installed in the smartphones. In 2014 wet season, the technology had been piloted in Regions 3, 4-B, 5, 6, 7, 8 and CAR [Cordillera Administrative Region]. A total of 310 farmer's field covering 19 municipalities were monitored and surveyed by DA-Regional Field Offices (DARFOs). Local Government Units (LGUs) and PhilRice staff. A minimum of six field visits/monitoring per farmer's field were done to capture the whole growing season. In times of calamities (typhoon, drought, flood), additional field monitoring is required. All data collected from the field per monitoring through the smartphones were sent via wifi to a database/aggregator by the field staff. Based from the data set in the aggregator, almost 96% o
f the total data were successfully sent. Results showed that majority of the rice maps produced from the pilot regions exhibited at least 85% accuracy based from the field data gathered through smartphones. Damages caused by typhoon Glenda in Leyte and Bicol Region as shown in the satellite images were not significant because most areas have no standing crop during the typhoon.
