News

     During 25 April – 9 May 2024, Center of Agricultural Information (CAI) has an assignment to Director of Geo-Information (GI) and staff for field survey in Suphan Buri and Chai Nat provinces. These two provinces are representative of projects which are extended from previous year. The main objective of this field survey is collecting the essential rice biophysical variables to develop rice yield model, which is an activity under “Applying the Geo-Informatics for agricultural yield forecasts and spatial data management”. This activity is one main sub-activity under the project of applying GI for enhance agricultural production in 2024. The commodity is defined in the wet season rice 2024 in the two above provinces and the amount is 45 sample units. The growth stage is defined in 5 main growth stages: seeding, tillering, panicle, flowering, and harvesting. This field survey is collecting several of rice biophysical variables in the which are related to the satellite images, are consisted of rice density, water depth, rice height, biomass (wet and dry biomass and collect in panicle to harvesting stage), leaf area index (LAI), chlorophyll contents, reflectance with spectroradiometer for remote sensing (relevant with Blue-Green-Red-Near Infrared corresponded with optical wavelengths, and yield. At present, we are facing the serious problems of cooperating with farmers in sample units due to the serious droughts and irrigation delivery in this growing season. Thus, the new sample units substitute the old sample units is required to continue the same period as each growth stage. Initially, some farmers shift their planting date from the beginning of May to end of May 2024, which have the affected on our survey plan. Consequently, these rice biophysical variables analyze their relationships in terms of Pearson correlation and develop linear regression model according to satellite imageries in both optical (Sentinel-2) and Synthetic Aperture Radar (SAR: Sentinel-1) sensor.