Applications of Image Processing in Agriculture: A Survey

Abstract

Image processing has been proved to be effective tool for analysis in various fields and applications. Agriculture sector where the parameters like canopy, yield, quality of product were the important measures from the farmers' point of view. Many times expert advice may not be affordable, majority times the availability of expert and their services may consume time. Image processing along with availability of communication network can change the situation of getting the expert advice well within time and at affordable cost since image processing was the effective tool for analysis of parameters. This paper intends to focus on the survey of application of image processing in agriculture field such as imaging techniques, weed detection and fruit grading. The analysis of the parameters has proved to be accurate and less time consuming as compared to traditional methods. Application of image processing can improve decision making for vegetation measurement, irrigation, fruit sorting, etc.

Data Science and Analytic Technology in Agriculture

“…This paper also describes the difficulties hidden with it like for data mining electronic records are needed which need consistent monitoring to gather the data and the main problem with it is the agriculture data is vast and heterogeneous in nature. [13] Anup Vibhute describes the use image processing for the purpose of analysis of agriculture field. As the time taken by the expert user to get the required result can be reduced by using this technique.…”

SVM and ANN Based Classification of Plant Diseases Using Feature Reduction Technique

“…The average classification accuracy of 90% is obtained for the tested sample images using ANN classifier. Vibhute and Bhode [21] have done a survey on several image processing techniques applied in agricultural applications. Focus has been on techniques like remote sensing, hyper-spectral imaging, fuzzy logic, neural network, genetic algorithm, wavelet, PCA, etc.…”

Applications of Image Processing for Grading Agriculture products

“…The parameters like canopy, yield, quality of product and many such criteria's are the important measures from the farmers' point of view. Image processing can change the situation of getting the expert advice well within time and at an affordable cost [22]. Computer vision system offers quantitative method for estimation of morphological parameters and quality of agricultural products to obtain quick and more accurate results [23] [24] [25].…”