Utilization of Crop Stubble as Alternate Source of Electricity Generation

The Indian states including Punjab,Haryana,Bihar,Uttar Pradesh,Madhya Pradesh,and Himachal Pradesh follow combine harvesting method followed by burning of crop stubble to prepare the fields for next crop.Crop stubble burning is the reason of annual increment in pollution concentrations which lead to massive winter pollution in the region.However,the state governments have taken several initiatives for proper management of crop stubble through various departments and institutions but still air pollution level is increasing.Instead of burning the crop residue,it can be used in other ways,which are beneficial to humanity.In the direction of rising issues due to burning of the crop stubble,efforts have been carried out to explore the options to utilize the crop stubble rather than burning of it.Present experimental study is an attempt to outline alternative use of crop stubble like utilization of rice straw for electricity generation through microbial fuel cell.In 10 days experimental set up,the MFC produced the maximum voltage of 0.002 V corresponding to the maximum current of 2.5 mA which results in power output of 0.05 mW.The experiments'results of the study accentuate the significance of biomass by utilizing the rice paddy straw for generating the electricity by means of microbial fuel cells.The electricity generated through crop stubble can be used as a sustainable source of energy in the remote areas.It is also focused on suggesting policies to the government so that air pollution can be minimized in affected areas.

Automatic navigation path detection method for tillage machines working on high crop stubble fields based on machine vision

Due to the influence of complex working environment and artificial factors,it is easy to cause crop up over or less tillage problem when straw returning machine is working in paddy field.A new method for path detection suitable for rice,rape and wheat high crop stubble tilling environments was proposed.First the distribution characteristics of rice,rape and wheat high crop stubble images in paddy field based on RGB color model were analyzed,and rice,the color images of rape and wheat high crop stubble were converted into gray ones using custom factor combination R+G-2B;Then,the gray images of rice,rape and wheat high crop stubble were segmented from soil background by means of luminance mean texture descriptor;Next,the binary image through custom shear-binary-image algorithm was cut to remove big noise blobs in high crop stubble’s tilled area;Finally,navigation path from navigation points by using the least square method was derived.The experimental results indicated that the navigation path detection algorithm was fast and effective to obtain navigation path in rice,rape and wheat high crop stubble tilling environments with up to 96.7% of segmentation accuracy within 0.6 s of processing time.