Evaluation of cost-effective real-time slope sensing system for wild blueberry

Q.U. Zaman; A.W. Schumann; K.C. Swain; D.C. Percival; M. Arshad; T.J. Esau

Evaluation of cost-effective real-time slope sensing system for wild blueberry

In: Precision agriculture '09

Authors:

Q.U. Zaman

Q.U. Zaman Engineering Department, Nova Scotia Agricultural College, Truro, Nova Scotia B2N 5E3, Canada; qzaman@nsac.ca

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A.W. Schumann

A.W. Schumann Engineering Department, Nova Scotia Agricultural College, Truro, Nova Scotia B2N 5E3, Canada; qzaman@nsac.ca

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K.C. Swain

K.C. Swain Engineering Department, Nova Scotia Agricultural College, Truro, Nova Scotia B2N 5E3, Canada; qzaman@nsac.ca

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D.C. Percival

D.C. Percival Engineering Department, Nova Scotia Agricultural College, Truro, Nova Scotia B2N 5E3, Canada; qzaman@nsac.ca

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M. Arshad

M. Arshad Engineering Department, Nova Scotia Agricultural College, Truro, Nova Scotia B2N 5E3, Canada; qzaman@nsac.ca

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T.J. Esau

T.J. Esau Engineering Department, Nova Scotia Agricultural College, Truro, Nova Scotia B2N 5E3, Canada; qzaman@nsac.ca

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Type:: Chapter

Pages:: 221–227

DOI:: https://doi.org/10.1163/9789086866649_027

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Abstract

The development of site-specific agriculture has increased the need for knowledge regarding within-field variability in factors such as soil/plant characteristics and topography that influence wild blueberry production. The majority of blueberry fields in eastern Canada have gentle to severe topography. An automated slope measurement and mapping system (SMMS) consisting of low-cost accelerometers used as tilt sensors, DGPS, laptop and custom software was developed and mounted on an All-Terrain-Vehicle for real-time slope measurement and mapping. Six commercial wild blueberry fields at two different sites were surveyed in Central Nova Scotia to evaluate the performance of SMMS. The automatically sensed slopes (SS) were compared with manually measured slopes (MS) at 20 randomly selected points in each field to examine the accuracy of SMMS. The fruit yield, leaf nutrients and soil samples were taken from selected points in different slope zones in each selected field. Those samples were analyzed to relate with variable slope within each field. The SMMS measured slope reliably in the selected fields with root mean square error (RMSE) ranging from 0.12 to 0.56 degrees and correlations of SS with MS of R²=0.95-0.99. The SS map showed substantial variation in slope (ranging from 0.8 to 31.0 degrees) in the fields. MS slopes were overlaid on SS maps and matched with the SS throughout the fields. The soil organic matter, leaf nutrients (N, P) and fruit yield were significantly different in steep slopes and low lying areas of each field. Therefore, the use of low-cost and reliable accelerometers with a Trimble AgGPS332 is a better option than expensive RTK-DGPS for developing cost-effective SMMS to quantify and map slopes (real-time) for planning site-specific management practices in commercial fields. The SS maps or real-time SMMS could also be used to adjust vehicle speed at particular steep slopes to avoid accidents in wild blueberry fields.

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Precision agriculture '09

E-Book ISBN:: 9789086866649

Publisher:: Wageningen Academic

Print Publication Date:: 01 Jan 2009

Subjects
- Life Sciences
  - General
  - Agriculture & Environment

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Evaluation of cost-effective real-time slope sensing system for wild blueberry

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Precision agriculture '09

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