Title :
Noise reduction in a load cell based peanut yield monitor using digital signal processing techniques
Author :
Hamrita, T.K. ; Durrence, J.S. ; Vellidis, G. ; Perry, C.D. ; Thomas, D.L. ; Kvien, C.K.
Author_Institution :
Driftmier Eng. Center, Georgia Univ., Athens, GA, USA
Abstract :
Precision farming describes the process of measuring and mapping land crop characteristics and then using these measurements to develop precise and intelligent application strategies that improve overall farm production. Yield monitoring is the phase of precision farming in which the crop yield variation within a field is measured and mapped. Yield maps from previous seasons can be used to determine the needed inputs in the field, whereas post harvest yield maps can be used to evaluate the implemented methods and make adjustments for the next season. Grain yield monitors are available, however there are few if any monitors for other crops. This paper examines the use of strain gauge load cells in a yield monitor for peanut combines and the development of methods for minimizing measurement noises thereby increasing reliability
Keywords :
farming; signal processing; weighing; crop yield variation; digital signal processing techniques; intelligent application strategies; land crop characteristics mapping; land crop characteristics measurement; measurement noise; peanut yield monitor; post harvest yield maps; precision farming; strain gauge load cells; Crops; Digital signal processing; Monitoring; Noise measurement; Noise reduction; Pollution measurement; Production; Sensor phenomena and characterization; Strain measurement; Working environment noise;
Conference_Titel :
Industry Applications Conference, 2000. Conference Record of the 2000 IEEE
Conference_Location :
Rome
Print_ISBN :
0-7803-6401-5
DOI :
10.1109/IAS.2000.881955