Health is one the most vital aspects that is of greater concern to most of the human beings at present days. To keep people healthier they intake a lot of fruits which contains more amount of nutrition and helps them to remain fit. Health benefits are provided with the intake of fruits and people who regularly intake fruits are expected to have minimized risk of chronic diseases. The Nutrients provided by the fruits are vital for proper maintenance of the body. But those fruits nowadays are ripened through some artificial means like usage of chemicals like calcium carbide as ripening agent which might even cause cancer. An important news that flashes during the mango seasons in television is that the fruit markets contain artificially ripened fruits which is extremely hazardous to health. Artificial ripening of mangoes using calcium carbide was the important fact that was being displayed in the news. Despite repeated warnings, raids and seizures, chemically ripened fruits are flooding the market. According to health officials, the consumption of mangoes ripened using calcium carbide leads to various harmful effects like vomiting, diarrhoea, ulcers of throat and abdomen, general weakness, and sometimes damage of eye permanently and breathing shortness. To avoid such ill effects the consumers have to be careful in buying the mangoes, find out the artificially ripened mangoes. Finding out the artificially ripened fruits is difficult with human eye observation. To aid the detection we have developed a device which uses image processing to find the artificially ripened mangoes. The proposed device gets an input image of mango under test and compares the features (histogram values) with a naturally ripened one and detects fruits which are ripened artificially. This method makes usage of the Smartphone which runs android application that is installed in it and the image processing is executed to detect the artificially ripened fruits. The proposed system has an efficiency of 91% in the identification of the fruits ripened artificially.

Agriculture, the prime sector is the backbone of India. Last few decades has witnessed a rapid development in robotic technology. Different kind of intelligent machines which facilitate various tasks in industry environment are becoming popular. India's contribution in coconut production in worldwide third place. All conventional techniques used for harvesting of coconuts was done manually and even if they developed any device it also required a human labor. Safety of the worker and the increased labor charges are the primary concerns of the coconut farm owners now. The factors such as height and coconut tree being branch less increased the difficult of climbing the tress. Only a professional climber having proper training could only be able to climb coconut tree. The risk involved in coconut tree climbing has reduced the people's count who come forward to climb the trees. The lack of professional climbers also stands as a reason for over charging by the existing professionals from the owner and as the educational background of Indian youth has increased the people now are hesitating to come into this type of profession. Today living in 21st century, still we have only manual coconut harvesting machines in handy. This in turn increases man power, cost of operation and time consumption for production. Thus, to overcome cons of manual harvesting process and to empower the agriculture in this domain an attempt has been made in designing a prototype of automated coconut harvesting machine. Considering this scenario, it will be very much helpful for the people if there is device which will help the user to climb a coconut tree. These kinds of devices will encourage more people to come forward into the agricultural sector. This project focuses in the design of a tree climbing robot which is automated, and thus this it does not require any human labor except to control it from the ground using a remote control. The device is a circular with a movable all sides and consists of four wheels. Four springs that are fixed to the wheel helps in adjusting to the variation in the tree's diameter. All the fixed wheels are having a DC motor geared with high torque for driving it. The four motors are driven in the bidirectional way using the four L293D drivers which are placed on the device's frame. The control signs for the driver is provided using a RF transmitter/receiver unit. A 12V 3000mah battery pack which is rechargeable is used. An arm with a rotary blade at its end is fixed to the track which is placed on the rim setup of this device so that arm can rotate on the rim in all direction for the coconuts harvest.

In agricultural spheres, numerous challenges persist, notably revolving around tasks such as weed eradication, horti- culture, and the precise application of herbicides and fertilizers. The cost of individual robots tailored to each of these tasks remains prohibitively high for many common farmers. To addressthis, a delta arm has been selected for its versatility, capable of both spraying and weed removal with enhanced accuracy and minimal environmental impact. The principal aim of this study is to devise a delta arm capable of efficient multi directional movement. The interplay between the active and passive armsis crucial, as is the circular design of the end effector and base platforms, ensuring optimal functionality and movement along all axes. The integration of delta arm robotics into agricultural practices holds immense potential for revolutionizing the industry in the forthcoming years, offering the advantage of versatile task execution at high speeds.