Apple orchards are expanding globally, with apples being a popular fruit crop in the world. The biggest challenge faced by these orchards is the threat of the apple worm, a harmful worm which destruct the apple crop. Utilizing Internet of things technology, discern gadgets equipped with machine learning algorithms canefficientlycollectdataregardingtocropandanalyzeitinreal-time, and detect anomalies such as the presence of codling moths in the apple crop. These devices can automatically capture images of traps, pre-process the images, isolate insects like cultivate worms for classification, and inform farmers if any codling moths are identified in the farm land. A low power platform is operated by Internet of things and sun cells, ensuring it can run continuously over low power networks without human intervention means an automatic technique. The hardware used in neural network working contains an Intel neural network and raspberry pi3 which is used to construct the gadget.