Project summary

SRI  VENKATESHWARA COLLEGE OF ENGINEERING

Vidyanagar, Bengaluru - 562157 

Department of Electrical and Electronics Engineering

FUZZY LOGIC BASED AUTOMATED SEED SOWING ROBOT

PRESENTED BY:                                                             GUIDE:              

ANUSHA K                                                    Dr. Vijayashree R Budyal       

ACHUTH KUMAR V                            HOD Dept of EEE SVCE Bengalur       

PRAJWAL KUMAR J

SAHANA BR

Background

Agriculture plays an important role in the economic development of our country. India ranks second position in agriculture production. Farmers being the backbone of our country face many problems, nowadays we find that the people are migrating towards cities finding luxury and it is very difficult to find labors for sowing seed and monitoring them. There is a need for automation in agriculture processes which saves the time and energy required for performing repetitive farming tasks and increasing the productivity of yield by treating every crop individually using precision farming concept. The concept of fuzzy logic is used for determination of steady state of crop processing, agriculture harvester ground tracking control system, determining the quality of an image of an agricultural field, steering a vehicle in an agricultural field in the earlier cases but here fuzzy logic is mainly used for selection of seeds with respect to the environmental factors such as temperature of soil, moisture content of soil and season

1.2             Motivation

Present methods of controlling the distance of seeding implements include manual, mechanical, and electromechanical systems. These methods do not always provide consistent accuracy, which may lead to seed placement at less than optimal distance for vigorous crop emergence. This is especially true for variable terrain conditions and when using one-way discer seeders.

Seed selection is a difficult thing and our farmers sowing the same type of seed which they have been followed although there is a chance of sowing other seed thereby reducing the demand and increasing the crop output and fulfilling the needs .Hence there should be a method where in the farmers have the option of sowing different seeds.

Manual control methods often involve an operator adjusting distance by actuating a hydraulic control lever. This can lead to great variation in distance, as the operator must estimate the distance of seeding visually, sometimes obscured through dust and at distances of up to 1m. This can be very tiring for an operator when conditions are such that constant adjustment is necessary. Errors increase under conditions of varying soil moisture, texture, and varying draft loads due to changes is weight of the implement as the seed empties out of the hoppers on discer seeders.

This project mainly deals with selection of the seeds  based on different environmental conditions and  the seeds are sown at a particular distance at a particular depth. Here, in this method we demonstrate the seed sowing for two different crops as well as checking the quality of the seed, checking for the moisture content, soil texture and temperature and monitoring the seed after sowing using a fuzzy logic which is a logistic approach where it can have many input variables and the output need not be one it can have many values based on the condition and requirement. With the nonlinear characteristics the active devices in analog circuit, the fuzzy elements can be implemented in very simple structures. This brings a reduction in the circuit complexity which implies better speed performance and reduced chip area consumption. Until now the main drawback of the analog approaches has been their poor flexibility. It is an effective way of sowing the seeds where it need not require a person to do all the work as the person can monitor it from his house from a particular distance.

Problem Statement

Selection of seed is very vital and it depends on various parameters like temperature of the surrounding, season, pH value of the soil, moisture content of the soil, texture of soil. The distance between two seeds while sowing is unlike for different seeds hence proper distance has to be maintained or else the seed growth will be diminished. We propose a project which performs the seed selection based on the fuzzy logic and sowing the seed with particular distance for the selected seed by using the autonomous robot which reduces the time, increases the efficiency as well reduces human interception and cost.

3.2 Objectives

The main objectives of the project are as follows:

•      To design the fuzzy model to select the particular seed to be sown depending on the soil parameters such as soil temperature, seasons, moisture content and pH.

•   To design and fabricate robot by programming the robot to run automatically.

•      To design and develop automated robot to sow the selected seed at a particular distance between the seed and at a particular depth.