Rice blast disease is the major problem in all over the world of agriculture sector. The early detection of this disease will prevent the huge economic loss for the farmer. This paper proposes a machine learning algorithm to find the symptoms of the disease in the rice plant. Automatic detection of plant disease is carried out using machine learning algorithm. Images of healthy and blast disease affected leaves are taken for the proposed system. The features are extracted for the healthy and disease affected parts of the rice leaf. The total data set consists of 300 images and divided for training and testing purposes. These images are processed with the proposed method and the leaf is categorized as either infected or healthy. The simulation results provide an accuracy of 99% for the blast infected images and 100% for the normal images during the training phase. The testing phase accuracy is found to be 90% and 86% for the infected and healthy images respectively.

The aim of this work is to examine the mechanical, tribological, and thermal behaviour of hemp fibre reinforced egg shell epoxy polymer composites. Experiments are carried out to study the effect of fiber and filler volume percentage on mechanical, wear, and thermal behaviour of epoxy based polymer composites. The volume of fibre and filler is varied by 30%, 40%, and 50% and 0.25%, 0.5%, and 1.0%, respectively. The specimens are fabricated by using hand layup technique. The specimens are expurgated according to ASTM standards. The mechanical tests such as hardness, tensile, impact and flexural strength are evaluated and abrasive wear behaviour of the specimen was investigated using a pin-on-disc machine. The thermal stability was evaluated using a thermo gravimetric analyzer. The effects of hemp fibre and filler were examined under different mechanical and thermal conditions. The mechanical results show that the addition of fibre increased the load bearing characters of epoxy resin, whereas the addition of egg shell filler increased thermal stability of the composite.