Yehezkiel Henson1, Robert J. Martin1, Rosanne Quinnell1, Floris Van Ogtrop1, Yorn Try2, Daniel K.Y. Tan1
1 The University of Sydney, Sydney Institute of Agriculture, School of Life and Environmental Sciences, Faculty of Science, Sydney, NSW 2006, Australia. Email: firstname.lastname@example.org
2 Meanchey University, Banteay Meanchey Province, Cambodia
Cambodian farmers in most areas have shifted their rice planting method towards direct seeding. Yet, direct seeding systems are more prone to weed infestation. Without proper management, weeds can cause seed contamination and yield loss. As weed species in rice fields are diverse, the effective control strategy can be different for each species; being able to identify the weed species that are present is therefore essential. A mobile application (App) may be an effective tool to empower farmers with the information needed to identify and control weeds. A survey regarding weed seed contamination in harvested rice paddy in two provinces was undertaken to determine common weed species of rice in Cambodia. A WeedID prototype App with the ten most common weeds was subsequently designed and developed. The mobile application was evaluated through a survey conducted in Northwest Cambodia. Moreover, more weed species were added to the database to make a total of 30 different weeds. WeedID received interest from enthused Cambodian farmers; it could be an effective information tool to offer better farming decision support and to improve practices to control weeds in rice.