There are no commercial yield monitors for sugar cane despite the economic importance of the crop for sugar and alcohol production. As sugar cane is not mechanically harvested in some regions, special yield monitors need to be developed considering the harvest and load methods used. Grab loaders are essential when the crop is manually harvested. If the weight of the crop being loaded is monitored, yield maps can be produced. This paper presents the development of a weight measurement system for grab loaders. It is based on a mechanical device that contains a load cell adapted to the machine. As it is necessary to perform this measurement dynamically, the effect of movement on the measured value must be corrected. Thus, a mathematical model was developed to assess the effect of each parameter on the dynamics of the load and on the measured weight. In order to collect data to evaluate the model, an experimental measurement system was assembled and used in field tests. The analysis of the results showed that the model was able to describe the machine behaviour within the limits considered. Mean errors of ±2% or less were obtained for each load if the sampling period was adequately chosen. The frequency response of the angle sensors used and the low sampling rate of the subsystems used restricted the ability to define a single period for error minimisation. These two points will be addressed in the development of dedicated hardware, to allow the use of filtering and processing techniques in real time to obtain measurements with consistently low errors.
Precision Agriculture – Springer Journals
Published: Sep 30, 2004
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera