International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 09 Issue: 05 | May 2022
p-ISSN: 2395-0072
www.irjet.net
RICE PLANT DISEASE DETECTION AND REMEDIES RECOMMENDATION USING MACHINE LEARNING Shital Patil1, Rupali Saha2, Aasha Sangole3 1,2Assistant
Professor, Department of Computer Science And Engineering, Wainganga College of Engineering And Management, Nagpur, India 3M Tech Student, Department of Computer Science And Engineering, Wainganga College of Engineering And Management, Nagpur, India ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - Now a days, farmers face production loss in crops because of several reasons. Crop disease is one of the most concerning reasons. This is because of lack of knowledge about the crop diseases and the preventive measures to stop spreading these diseases. In order to control the disease, first it needs to be detected correctly, then needs the expert opinion, and this is not affordable to farmers in both time and cost perspectives. To help the farmers in this problem, we are developing a machine learning algorithm to detect rice crop disease by uploading the image and to give the exact remedy. The remedies provide the appropriate information about the pesticide or insecticide to be used to cure the disease. Key Words: Rice Crop Diseases, Machine Learning Algorithm, Convolutional Neural Network, Training Model, Rice Blast, Bacterial Leaf Blight, Leaf Blast, Hispa
1. INTRODUCTION India’s most economy is predicated on agribusiness. What’s more to be explicit, India is the world’s second biggest maker of rice, and thusly the biggest exporter of rice inside the world. Still India has many developing worries like developing populace, intense environment changes that influence horticulture creation. Because of the arising development of the populace, horticulture area needs a much better headway utilizing the freshest innovations. The harvest should be good for a superior yield. Along these lines profoundly compelling and cost effective strategy is expected for quick identification of harvest infection. Rice is among the significant yields in India. It's contaminated by some illnesses which are brought about by parasites, microorganisms and infections. Ranchers can’t distinguish the infection on rice crop and consequently they can’t utilize appropriate preventive measures to direct the illness. There is an assortment of medical measures accessible like kinds of pesticides or bug sprays to direct the yield illness and increment the harvest creation. Yet observing the current sickness and giving the best cures requires well-qualified assessment or earlier information so as to regulate the infection. The presence of sickness on the plant is thought about leaves by showing a few explicit manifestations related with that infection. This particular manifestation goes about as © 2022, IRJET
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a component to recognize the genuine infection. Utilizing these elements we fostered an AI model, an advanced innovation which is more affordable and gives exact outcomes less range of time when identifying the rice crop infections and gives the appropriate cures like insect poisons or pesticides so as to manage the sickness. We are considering three rice crop diseases that happen every now and again and cause more misfortune in paddy crop creation. Alongside, we can likewise show the healthy leaf.
1.1 Leaf Blast Leaf blast is taken into account as the most severe and destructive disease within the rice plants. It can affect various parts of leafs which incorporates neck and leaves. This disease is extremely frequent within the regions where there's intermittent precipitation, cool temperature and minimum soil dampness. A paddy crop can be affected by the leaf blast at any stage. Whenever developed, it can kill the whole leaf. Figures (a), (b), (c) and (d) depict the images of leaf blast affected rice plant leaf.
Fig. 1 Leaf Blast affected leaves
1.2 Hispa This illness is frequently recognized in the event that the mining of the grubs are obviously seen on the leaves. Assuming the area is seriously pervaded the paddy crop fields seems consumed. On the off chance that the rice plant is seriously contaminated, the harmed leaves shrink off. This illness normally influences the plants inside the youthful stage. This infection is regularly overseen by trying not to over prepare the area. Following figures, shows the leaves affected by Hispa disease. ISO 9001:2008 Certified Journal
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