Archives

In this study a Decision Support System (DSS) was developed for on-farm irrigation water management to determine when to irrigate and how much to irrigate for border, sprinkler and drip irrigation systems for wheat, maize, potato and chilli crops. It is based on five datasets viz. weather, crop, soil, water quality and irrigation system. The DSS was developed under PHP server side scripting language at frontend and MySQL datasets at backend. The DSS can be accessed by user in two ways; first if user having weather data, Second, if user not having weather data. The irrigation scheduling for border irrigation system was based on total ETc during irrigation interval and previous applied depth of irrigation but for sprinkler and drip irrigation were based on total ETc during irrigation interval and pre decided irrigation frequency. Overall, this research will be very helpful to the farmer to take the decision on when to irrigate and how much to irrigate for sustainable on-farm irrigation water management.
Keywords: Reference evapotranspiration, crop water requirement, irrigation scheduling, Decision support system, on-farm water management.