5^th International Conference on GIS and Remote Sensing September 16-17, 2019 Venue : Holiday Inn Rome Aurelia / Rome, Italy

Fabio Andres is Topographic Engineer(B.Eng) and Geomatics Specialist (PgD) with a Master’s degree in Engineering with a emphasis in Computer Science (M.Sc). With 10 years of professional experience in Geomatics. He was involved in sugarcane research activities for more than 8 years in different national and international projects using geospatial tools, GIS mapping, remote sensing, spatial data analysis, geospatial database management, cartography generation, aerial survey in the Colombian Sugarcane Research Center (Cenicaña). Actually, he is linked to the academy as a part-time teacher in undergraduate and postgraduate audiences in Geomatics line courses.\r\n\r\n

Georeferenced crop rows are used as an input for guiding precision agricultural machinery. Agricultural machinery is supported by highly accurate, real-time kinematic global satellite navigation systems. Georeferenced crop rows generation is an expensive and time-consuming task. In this research, a crop rows generation in sugarcane crops will be addressed through image processing and computer vision techniques through a developed QGIS Plugin “Crop Rows Generator (CRG)”. CRG involves computer vision techniques and a high-performance computing approach which are capable of process high-resolution large images obtained by a Drone and on these images detect, generate and mapping crop rows in sugarcane fields, with a few clicks. Generate crop rows using CRG improves processing time above to 200% compared to manual method and beyond 650% compared to the mechanized method. Crop Rows generation performance is above to 83% and overall most of the horizontal errors are in range between +-(2.5 to 10) cm.

Mohammad Rafayet Hossain has completed his Master of Community and Regional Planning degree from the Department of Community and Regional Planning at Iowa State University. He has also received a graduate certificate on Geographic Information System (GIS). His bachelor degree was on Urban and Regional Planning from Bangladesh University of Engineering and Technology. He has worked in both public and private sector in United States of Americana and Bangladesh. In his personal life he is higher interested in science, computer, sports etc related topics.

Massive use of fertilizer and pesticides has become a major concern in recent days all over the world. Use of chemicals in agricultural fields are increasing total rate of production, but its a major health concern. Clear separation distances between residential and agricultural land use are mandatory to preserve safe and sound environment. This study has been conducted in three counties located in the middle of the state of Iowa, Warren County, Story County and Boone County to find out, whether clear separation distance between agricultural fields and residential uses have been maintained according to planning principles. Three main agricultural products of the state of Iowa corn; apple and grapes have been taken into consideration. Separation distance between residential use and agricultural fields must be minimum 500m. This value of clear separation distance varies based on the presence of appropriate barriers between agricultural fields and residential uses. Point feature data of agricultural fields and residential structures have been collected from Iowa Natural Resource Department website. Mainly Buffer tool has been utilized under this study to show impacted areas. Some spatial analysis have been also conducted in this study to find out percentage of structures within the threshold limit. Statistical tools have been also utilized in the end of the study to do proximity analysis between agricultural fields and existing structures . Maintenance of clear separation distance and presence of buffer barrier are the only solution under current situation.