Precision Agriculture Technology: A Literature Review
C. A. Danbaki *
Federal College of Forestry Mechanization, Afaka Kaduna, Nigeria.
N. C. Onyemachi
Federal College of Forestry Mechanization, Afaka Kaduna, Nigeria.
D. S. M. Gado
Kaduna Polythecnic, Kaduna, Nigeria.
G. S. Mohammed
Kaduna Polythecnic, Kaduna, Nigeria.
D. Agbenu
Forestry Research Institute of Nigeria, Ibadan, Nigeria.
P. U. Ikegwuiro
National Water Resources Institure, Kaduna, Nigeria.
*Author to whom correspondence should be addressed.
Abstract
This study is a survey on state-of-the-art methods based on artificial intelligence and image processing for precision agriculture on Crop Management, Pest and Disease Management, Soil and Irrigation Management, Livestock Farming and the challenges it presents. Precision agriculture (PA) described as applying current technologies into conventional farming methods. These methods have proved to be highly efficient, sustainable and profitable to the farmer hence boosting the economy. This study is a survey on the current state of the art methods applied to precision agriculture. The application of precision agriculture is expected to yield an increase in productivity which ultimately ends in profit to the farmer, to the society increase sustainability and also improve the economy.
Keywords: Precision agriculture, artificial intelligence, image processing, technology, remote sensing.