This work proposed a recognition system capable of identifying an Indian fruit from among a set, established in a database, using computer vision techniques. The investigation made it possible to compare the image color models, together with the size and shape characteristics previously used by different researcher. For the class of fruits defined in this investigation, it was determined that the characteristics that best described them were the average values of the RGB channels and the length of the major and minor axes when the image fusion technique is used, a process that allowed obtaining results with an accuracy equal to 92% in the tests carried out, finding that not always selecting a greater number of variables to form the descriptor vector allows the classifiers to deliver a more accurate response. In this sense it is important to consider that among the study variables a low dependency or correlation value.
TopIntroduction
The agriculture includes various applications in the field of recognition system, as the precision agriculture is one of its major examples. It is spatially consists different wireless sensors which assist the collected data, model that controls irrigation, facility for farmers to provide information and also provides control over greenhouse several parameters. To collect this spatial data, have system that is useful in this for the collection of data is known to be acquisition system, with this system the crop can be easily managed. It consist various parts such as data collection instruments, vehicles that manage; data collection is the main part and the whole control system for farm machines.
The other application of recognition system of agriculture is smart irrigation by which can minimize the wastage of water up to 80% and can increase the productivity of crops & fruit in an easier way for that also introduced a model rather than using the old technologies which were surface irrigation, drip irrigation and sprinkler irrigation etc. implemented the soil moisture sensor through which can sense the moisture amount present in the soil and according to need can provide supply water to the crops and whenever the need is fulfill as it cross the threshold the motor is automatically switched off, by this procedure the crops are also saved from overflow of water and as well as the water is utilized. To make the agricultural field friendlier to the farmers introduced a model for smart greenhouse in which have controlled six parameters at a time and the data is further send to the farmers with the help of used GSM module. The six parameters that are being controlled in this are water level, humidity, temperature, light, soil, and as well as insect monitoring through image processing tool is done, then further these measured parameters are sent to the farmers via message on their cell phone so that they can manage the temperature, light, humidity, insects amount etc, next day without having much delay so that the crops in greenhouse can be monitored easily. By implementing such models in the farming environment can easily increase the productivity to 60% and make agriculture an easy task for the farmers and as well as the human labor can also be minimized. The advantage these systems have in it is that no other persons can access the data other than user if in case anybody tries to access it then the user gets a message with proper details of that hacker.
This concept is all about building the smart greenhouse so that can easily grow any vegetable in any season without any circumstances if there will be any severe change in the weather then this system will let us know with the help of alarms that are set for the threshold value. According to today’s need this model is very much beneficial because it can measure the temperature conditions exactly rather than on merely predictions, as the farmer’s this year suffered a lot from these conditions. Due to this heavy loss of crops the ratio of farmer’s suicide case has been raised in Rajasthan this year. This is the time to implement the technology in the field of agriculture as much as can so that farmers stop working on predictions. As there are several smallholders that can product more and have greater profit than they are getting this happen just because of lack of proper technical knowledge and they also don’t have ability to bear the risk, the need on top for the farmer’s is real time decision making agriculture means they can have proper information at a proper time through which they can have proper information of the agricultural chain and as well the adequate amount of fertilizers can be spread in the farms. If the fertilizers are spread more than the need several problems can occur so in our model have also introduced the feature through which the farmers can also receive the sms on their cell phone for the proper amount of pesticides/fertilizers. As in this paper have used atmega 16 module because the reason behind that is it will be either not possible to implement several parameters on a single controller, to remove complications we have chosen atmega 16 rather than AT89C51 microcontroller.
This technology when implemented can be proved a game changing for the small holders; it can increase their productivity and incomes too. As the practices on this project are still being made to make this project as much cheaper can so that it will be more convenient to the low level farmers. It will also to make environment cleaner and pesticides free which will directly or indirectly favor the life of farmers.