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Vegetation is the key element which provides a vital foundation for all living things. An implementation of specific irrigation process by drip is very reasonable and capable. It is found that the various drip irrigation methods have been proposed are luxurious and dense to utilize. The remotely monitored embedded based irrigation system has become a new fundamental thing for a farmer which accumulates his energy, time and money and will reduce requirement of water. For better drip irrigation plan, this approach would utilize the soil test for the water content, the chemical constituent, and salinity and the fertilizer requirement data collected and processed by the wireless. The remote sensing replaces an expensive and the sluggish data collection on the ground, ensuring that the area or objects are not distributed due to this process. The optical & Microwave remote sensing is less limited by climate and time and measure in large scale. The radiometric observations are also reviewed. The directional reflectance effects were modelled via a bidirectional reflectance distribution function (BRDF) acquires from high frequency multi-angular spectral observations. With this uniqueness, this technique becomes a valuable means to monitor soil moisture. This paper deal with various monitoring system and propose an automatic monitoring system model using Wireless Sensor Network (WSN) and also various remote sensing techniques for soil & vegetation characteristics which will help the farmer to progress the yield.

Advance Research on Monitoring Of Soil & Remote Sensing of Vegetation by Various Techniques for Proper Drip Irrigation