Jibril Lawal, Abubakar Usman Mohammed, Mansur Muhammad, Musa Murtala Abubakar
The rapid increase in population in Nigeria has brought the need for a massive increase in agricultural produce to cater for the population. In view of this, traditional farming only during the annual rainy season cannot suffice to cultivate enough farm produce for the nation. Therefore, irrigation farming that allows farmers to plant crops throughout the year is now embraced across the country. However, lack of knowledge about the crops that can grow best in a particular land and the exact amount of water and fertilizer needed in the farm is leading to poor output. This study proposes intelligent irrigation software system to improve irrigation farming in Nigeria by acquiring and sharing information about crops requirements (soil, quantity of water and fertilizer) with farmers. With the use of Global Positioning System (GPS) and expert agricultural information, data is capture by the software, analyzed and shared with the selected farmers. The final output is generated and sends to the Farmer via Short Message Service (SMS) describing the accurate farmland size, suitable crops to plant, as well as the agrochemicals needed in the farmland.
Jibril Lawal, Abubakar Usman Mohammed, Mansur Muhammad, Musa Murtala Abubakar (2017); Enhancing Irrigation Farming In Nigeria Using Software Technologies;
Int J Sci Res Publ 7(12) (ISSN: 2250-3153). http://www.ijsrp.org/research-paper-1217.php?rp=P727000