Determination of nitrogen levels in plants is essential for variable rate fertilizer application
in precision agriculture. In the past, several techniques have been developed for nitrogen
concentration estimation in plants and crops employing vision system, however, they are
computationally expensive and hence requires a considerable amount of time to produce
accurate results. The technique developed in this work the determination of nitrogen levels
in plants could be achieved effectively in real-time time by advance image processing
techniques, machine visions and support vector machine (SVM) with MATLAB. The
developed technique processes leafโs colored image via examining it Red, Green and Blue
(RGB) values and compares them with standard intensity levels. The experimental results
show effectiveness of the developed technique and accurately detect low or high
concentration levels in corn. In addition, this method depends on two techniques for a final
result, i.e. color intensity and SVM. If the answer is not similar between the two techniques
the process will be repeated until the detection is similar. This study could be applied to a
variety of crops, since this technique does not require large collection of data for training
and special expertise for its on-field application