VOLUME 70 : 2022

Alternative land elevation assessment through mobile GPSbased rover for small-scale rice farm field preparation

PAGE 80-92

online publication date: September 2022

Carlo Jose Abante, Roi Benedick Balerite, Ashley Charles Cariño, Andrew Daniel Fong, Angelo Quim Malabanan, Mary Grace Ann Bautista & Anthony James Bautista

One of the many factors that influence rice crop productivity is the field preparation, which includes proper land elevation. Uneven paddy fields cause an uneven distribution of resources, such as irrigation water and fertilizers, lowering crop yields. To remedy the problem, land leveling methods are used to level the crop fields. They involve the use of tools and equipment created specifically for this purpose. These methods are used to determine the difference in field elevations and where the soil should be cut and filled. Small-scale farms, on the other hand, do not employ the specified land leveling method due to a lack of funding and essential equipment, the practicality of usage in large-scale areas, and the time-consuming and labor-intensive operation. This study describes a GPS-based system that is integrated into a rover and controlled remotely to calculate the high and low areas of the ground to determine where to cut and fill the field. The Arduino Microcontroller, Radio Frequency Modules, and Global Positioning System (GPS) module will be the main components of the GPS-based system. The GPS module is utilized to provide the prototype rover’s exact location, including latitude, longitude, and altitude. These coordinates are used to derive the rover’s elevation data in its current location. This knowledge is used to decide where to cut or fill in the ground of small-scale farms. In comparison to Laser Topographic Surveying, the GPS-based system developed provided reasonable vertical precision with elevation errors of 0 to 10 cm. The findings suggest that a GPS-based system is adequate for land-level assessment tasks and that it may be utilized as a substitute for Cut-and-Fill mapping.


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