A Review On Determination Of Soil Organic Matter and Soil Moisture Content Using Conventional Methods And Image Processing Techniques

Abstract

Soil Organic Matter (SOM) and Soil Moisture Content (SMC) are very useful and important soil properties through which it is possible to monitor agricultural treatments of chemical inputs to soil for the plants. One of the physical benefit of SOM is it gives aggregate stability which results in reduce crusting, improves water holding capacity, improves water filtration capacity and pour space and air distribution by increasing SOM content. Soil moisture tension is the density of water holding capacity. The different types soil analysis techniques are available, but traditional methods are laborious time consuming as well as do not guaranteed accuracy of information in short window of time needed during the crop growing seasons. So there is need to seek for easier and proper methods of analyzing soil that are simple, precise, quick and economical in labs or/and in field. Researchers have studied the estimation of various methods for rapid quantification and monitoring of some surface soil properties such as SOM and SMC. The purpose of this work is to explore the possibilities and limitations of traditional and new techniques for soil analysis. Therefore, the review has been carried out for the determination of SOM and SMC using image processing.