Vo Chi Quang

1. Introduction Mobile robots play a crucial role in societal advancement, undertaking perilous or challenging tasks for humans, such as search and rescue operations, and aiding in epidemic-stricken areas and the exploration of remote planets. Consequently, designing such robots necessitates meticulous trajectory planning—a pivotal aspect [1]. This planning emphasizes creating the shortest distance, minimizing time, conserving energy, and circumventing obstacles enroute to the target [2].

The study was to simulate rice yield in various places and outline a rice yield map for the study area using GIS, remote sensing, and a rice model. As a case study, the data were collected on the climate, soil characteristics, and rice cropping status in the AnGiang province (Southern of the Mekong River Delta in Viet Nam). The AquaCrop model was used to predict rice yield. The MODIS image delineated the rice cropping status based on spatial and temporal NDVI values.