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The present study was carried out to predict the performance different type’s weeder in cotton crop so that efficient machine can be selected by farmer. The crop and machine performance parameter were recorded at three stages of cotton crop i.e. pre-square, square and flowering. The soil resistance was recorded before, just after weeding (3rd stage) and at the time of harvest. Yield data (g/plant) was recorded under all the treatments taken in both varieties. The weeding efficiency of different weeder was found between 74 to 89 per cent. The field capacity of tractor operated inter row rotary weeder was in the range of 0.54 to 0.59 ha/h whereas it was 0.8 ha/ h in tractor operated high clearance cultivator, 0.16 ha/h with engine operated power weeder and 0.05 ha/h with manual hand hoe. The per cent saving in cost of operation with mechanical weeder over manual hand hoe was in the range of 80 to 93. The B:C ratio of mechanical weeder selected for study was in the range of 1.57 to 4.4 and payback period was in the range of 0.44 to 1.7 years. Time saving over manual hand hoe in weeding operation with the use of tractor operated weeder was 90 to 93 per cent whereas in engine operated weeder it was 68.7 per cent over manual hand hoe. The per cent saving in labour requirement with the use of mechanical weeder was in the range of 96 to 99 per cent over manual hand hoe. From result obtained from the study tractor operated weeder (operating width= 1500mm) was found suitable for cotton crop.

A comprehensible Visual Basic (VB) computer program is developed to find out the tractor parameters for an automated steering system. Tractor parameters such as real wheel and front wheel trajectory coordinates, clockwise front and rear wheel angle and corrected front and rear wheel angle can be calculated. Front wheel trajectory data, rear wheel trajectory, distance between front and rear wheel(X13), Tractor velocity vector(V) and Tractor turning angle with center line are input variables for developed software. The tractor parameters are being calculated with the help of mathematical model which are already fed in program. The developed program successfully calculates the tractor parameters on automated steering . This developed software could guide an autonomous agricultural tractor in the field. Furthermore, software navigates agricultural tractor both in straight or curved path at normal field operational speed.

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Various published data show the amount of crop residue available annually in India may range from a low of 90 to a high of 180 million tonnes. Different types of crop residue are collected from farmers depending on the geography and crop pattern for instance, in north India rice straw and cotton stalks are collected while in central India soya husk and sugarcane tops are collected. Baling and transporting straw from the field, though appear to be an option for safe disposal, will be feasible only when alternate, effective and economically viable usage methods are identified and facilities and infrastructure for ex-situ management methods are created. One immediate short term use of the residue is to replace 5% -7% of the 670 million tonnes of coal India currently consumes to generate power. The farmers will benefit from the sale of their excess crop residue. The scheme will reduce pollution due to residue burning practices. Replacing coal will cut the GHG emissions. The challenge is to mobilize the crop residue collection and timely delivery to power plants. The data and calculations in this monogram show that it is economical for the farmer to remove the crop residue from the field quickly by using modern balers, to pelletize the biomass in small-scale distributed pellet plants, to store pellets in the modern steel bins and finally to deliver the pellets to coal plants by using rail transport. The delivered cost is estimated at around Rp 6.78/kg. The Government of India encourages the power plants to pay at least Rp 10/kg for the delivered biomass in the form of pellets. The current monogram analyzes the organization of an efficient supply chain in the State of Haryana India to ensure a sustainable modern enterprise.