to Diagnose Deficiency in the Balance
of Mineral Levels Towards Improvement of Crop Productivity
Rice is one of the most widely cultivated food crops
throughout the world. But due to deficiency in the
balance of mineral levels, the production of rice often
gets severely affected. Also, some destructive and
sporadic rice diseases such as blast and brown spot
are closely related with this loss of balance of mineral
levels. Such deficiencies in the balance of mineral
levels can be identified by detecting the change in the
appearance of rice leaves. In the present article, we
present our recent study on the use of image analysis
based techniques for detection of possible changes in
rice leaves indicating deficiency in the balance of
mineral levels in rice fields. Such an attempt is a
pioneering one and the ultimate goal of this study is
the development of a prototype system, which may be
embedded in camera phones for its convenient and
effective use by the farmers. Simulation studies
presented in this paper are based on images of rice
leaves obtained from the International Rice Research
Institute (IRRI), Philippines.