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				 Napiergrass, also known as elephant grass, resembles sugarcane 
				in stature and in methods of propagation. The grass is emerging 
				as a candidate bioenergy crop, but there are limited studies 
				available for napiergrass yield sensing, a technology that could 
				play an important role in implementing precision agriculture and 
				reducing harvesting cost. Alan Hansen, a professor in the U of I 
				Department of Agricultural and Biological Engineering, and Sunil 
				Mathanker, a postdoctoral researcher in the department, worked 
				with colleagues from John Deere and BP Biofuels to field test 
				the four yield-sensing approaches and document their correlation 
				to napiergrass yield. 
				 
				In this study, a stem-bending yield sensor was developed to fit 
				a John Deere 3522 sugarcane billet harvester. Four load cells 
				were fitted between two parallel pipes to form a push bar. The 
				push bar was installed between the crop dividers about 1.2 
				meters above the ground and 1.5 meters ahead of the basecutter. 
				The study also investigated the hydraulic pressures of 
				basecutter, chopper, and elevator drives as indicators of yield. 
				Three pressure sensors were fitted to the inlets of the 
				hydraulic motors operating the basecutter, chopper, and elevator 
				on the John Deere harvester. 
              
                
				  
              
				The sensor that measured stem-bending force was the most 
				accurate among the four methods tested. “What’s particularly 
				good about this sensor,” said Hansen, “is that you’re able to 
				measure yield at the point of entry. This is somewhat unique. In 
				combine harvesters, for instance, you’re monitoring a yield 
				sensor at a point much farther along in the flow of material, 
				where the grain is about to enter the tank at the top of the 
				combine. The delay between when the grain comes in and when it 
				reaches the point of measurement creates a potential for error, 
				and we have to come up with an estimate in relation to the time 
				lag. So having this look-ahead sensor right up front is of 
				significant value.” 
				 
				While the look-ahead sensor showed the best correlation with 
				yield, Mathanker said there are issues, such as crop lodging, 
				harvester speed, and the ability of critical components to 
				respond to sudden changes in ground speed, that pose a challenge 
				for this sensing approach. Varietal characteristics, harvest 
				time, moisture content of the stems, soil conditions, sensor 
				height, and physical properties of the stems could also 
				influence the bending force experienced on a push bar. 
				 
              
                Among the three hydraulic pressure-sensing approaches, the 
				chopper pressure showed the highest correlation with yield. A 
				reasonable correlation was found between the basecutter pressure 
				and yield, although in addition to yield, it was expected that 
				the basecutter pressure would depend on cutting height. Chopper 
				and elevator pressures were less affected by factors other than 
				yield compared to basecutter pressure. 
              
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			“Based on the results of this study,” Mathanker said, “the 
			stem-bending yield sensor showed potential for real-time napiergrass 
			yield prediction. It can also be used to control operating 
			parameters of the harvester [such as travel speed] and to generate 
			yield maps for precision agriculture. We believe this stem-bending 
			force sensing approach can be extended to other thick-stemmed 
			crops.” 
			 
			Hansen and Mathanker published their findings in Computers and 
			Electronics in Agriculture 111 (2015). Co-authors of the paper were 
			H. Gan (Department of Agricultural and Biological Engineering, 
			University of Illinois at Urbana-Champaign), J.C. Buss (John Deere, 
			Thibodaux, LA), and J.F. Larsen (BP Biofuels North America, Houston, 
			TX). 
			 
			The Energy Biosciences Institute is a public-private collaboration 
			in which bioscience and biological techniques are being applied to 
			help solve the global energy challenge. The partnership, funded with 
			$500 million for 10 years from the energy company BP, includes 
			researchers from the University of California, Berkeley; the 
			University of Illinois at Urbana-Champaign; and the Lawrence 
			Berkeley National Laboratory. Details about EBI can be found on the 
			EBI website. 
			[Leanne Lucas, University of Illinois 
			College of Agricultural, Consumer and Environmental Sciences] 
			
			  
			
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