Detection of 'Stem and Root Borer' pest in trees using embedded platform

Abstract

Stem and Root Borer pest (SRB) is known to cause huge financial losses to commercial crops and tremendous destruction of forests reserves all over the world. The pest being nocturnal and entire life span spent beneath the bark is invisible to the farmer during day time. Tree shows sickly appearance only in the later stage of infestation where the recovery is impossible hence timely detection of the presence of CSRB infestation is of prime importance to the benefit of the farmers in the State. In this paper, we have proposed the embedded system design which will be able to perform the prompt and accurate detection of the pest infestation. The entire system will be designed on ARM7 embedded platform which has Prediction Model running on it. The Prediction model will accurately detect the status of tree by measuring the chlorophyll and conductivity of the tree.