Page 33 www.ijiras.com | Email: contact@ijiras.com International Journal of Innovative Research and Advanced Studies (IJIRAS) Volume 4 Issue 5, May 2017 ISSN: 2394-4404 Plant Health Indication Robot Shweta Dour Anjali Patel Assist. Prof., Dept. of EEE, Navrachana University, Vadodara Anushruti Ganavsa Rohit Negi Student, Dept. of EEE, Navrachana University, Vadodara I. INTRODUCTION Agriculture is the backbone of India. Agriculture is one of our most important sector for providing food, feed and fuel necessary for our survival. Some of the major problems in the Indian agricultural are rising of input costs, availability of skilled labors, lack of water resources and crop monitoring. Leaf diseases on plant are the main element and having superior strength which appear as spots on the leaves. In case of severe infection, the leaf becomes completely covered by disease in terms of spots. Different type of leaf diseases on plant determines the quality, quantity, and stability of yield. The robotics plays a major role in various fields such as industrial, medical, military applications etc. The robotics fields are gradually increasing its productivity in agriculture field. To overcome these problems, the automation technologies were used in agriculture. The automation in the agriculture could help farmers to reduce their efforts. The robots are being developed for the processes such as fruit picking, monitoring, irrigation, etc. All of these functions have not yet performed using a single robot. Farmers are cultivating different types of crops. These crops may be affected by fungi, bacteria, viruses and many more. Identification of disease is very difficult for farmers at its early stage. There are number of diseases found in crop. Farmers cannot be determined accurate percentage of observed disease. Patterns of diseases are so many complexes that finding affected area is difficult. In this proposed system, we are going to make a robot which uses vision based row guidance method to drive through the row crops. A prototype robotic arm has to be designed, developed and constructed, which should be integrated with motors, controllable using specific electronic components and custom computer software. A number of sensors are integrated into the robotic system including temperature, moisture and humidity systems. The system required the use of vision, with custom algorithms being developed to identify plant growth rates. The entire system will integrated into a fully automated package. This provided the potential for plant nutrient levels and the immediate environment to be routinely adjusted in response to continuous sensing resulting in optimized rapid growth with minimal human input. Abstract: Agriculture is very labor intensive field and only field where the robots are not involved. Now-a- days many industries are trying to reduce this human labor by making robots and machines. A vision-based row guidance method is presented to guide a robot platform which is designed independently to drive through the row crops in a field according to the design concept of open architecture. Then, the offset and heading angle of the robot platform are detected in real time to guide the platform on the basis of recognition of a crop row using machine vision. And the control scheme of the platform is proposed to carry out row guidance. Here we are designing an autonomous intelligent farming robot which indicates the plant health by observing the color of their leaves and based on the height of the plant. The robot also notes the surrounding environmental conditions of the plant like temperature, moisture and humidity so that the robot will decide about health of plat and will display on the LCD. Keywords: Agriculture, crops, robot, moisture, temperature, humidity