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Abstract

Not AvailableFinger millet (Eleusine coracana) is an important staple food grain in North Western Himalayan Region (NWHR) of India. In traditional process, it takes five hours effort for threshing and pearling of 100 kg of finger millet grain. The objective of the present study was to find out the optimum machine parameters for efficient threshing and pearling operations of finger millets using artificial neural network (ANN) and genetic algorithm (GA) techniques. The machine performances like threshing capacity (32.4 kg/h against 33.21 kg/h predicted), threshing efficiency (98.41 % against 97.90 % predicted), pearling capacity (65.0 kg/h against 65.12 kg/h predicted) and pearling efficiency (98.3 % against 98.60 % predicted) were evaluated for its optimal design parameters viz., number canvas strip on drum periphery (8), overhanging width of canvas strip (5.17 mm) and peripheral drum speed (7.97 m/s) for finger millet.ICA

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