Use of Nanotechnology Sensors for Sustainable Agriculture

Abstract

Nanotechnology is considered as a leading technology in controlling the agricultural process through monitoring with its miniature dimension. It therefore paves way for essential benefits on enhancing the quality and quantity of foods, reducing the input required for agricultural production, full utilization of soil nutrients, etc. The challenges in these models include availability of natural resources, sensing proper nutrients from the soil for crop-specific production, cultivation of crops. Hence, in this paper, various nano-sensors are utilized to increase the crop productivity by analyzing the nutrients present in the soil. The accuracy of acquisition and detection enables what type of crop can be used for cultivation or irrigation. The real-time nano sensors are deployed for absorbing the elements present in the soil that should suit the productivity of crop. The results of simulation using a deep learning detector based on the input from nano-sensors show an improved rate of productivity than state-of-art models.