TY - JOUR
T1 - Development of a dynamic model to estimate canopy par interception
AU - ROJO RUBKE, FRANCISCO EDUARDO
AU - Dhillon, Rajveer
AU - Upadhyaya, Shrinivasa
AU - Jenkins, Bryan
N1 - Funding Information:
We acknowledge the United States Department of Agriculture (USDA) – National Institute for Food and Agriculture (NIFA) Specialty Crop Research Initiative (SCRI-USDA-NIFA-2010-01213) and Almond Board of California, United States, for their financial support. We also want to acknowledge the Henry Jastro research award received from the department of Biological and Agricultural Engineering Department at UC Davis and the Becas Chile award received from the Chilean Government.
Publisher Copyright:
© 2020 IAgrE
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/10
Y1 - 2020/10
N2 - Models of the shadows cast by orchard trees can provide useful information to assist in canopy and nutrient management, estimation of potential yield and water use. In this study, an analytical model was developed that calculates the shape, size, position and orientation of the shadows cast by the tree canopy and described the diurnal and seasonal changes in those shadows. The objective of this study was to derive analytical expressions to describe the positions and potential effects of shadows in time and space based on shape and size of the canopy, row and tree spacing, row orientation, and the latitude and the longitude of the orchard to compute canopy PAR interception considering the shading from neighbouring trees. The model was based on the assumption that canopies have spherical or ellipsoidal shape. Simulations were performed at different times of the day to study the shading patterns of trees and evaluated in terms of solar radiation received, transmitted and intercepted. The model was calibrated using field data to assist orchard design and canopy management based on lightbar scans obtained at different times of the day. The calibration procedure was tested on an almond orchard by comparing the shadows scanned and estimated by the model. The maximum average values between precision and recall were 87.50% and 87.75%, respectively.
AB - Models of the shadows cast by orchard trees can provide useful information to assist in canopy and nutrient management, estimation of potential yield and water use. In this study, an analytical model was developed that calculates the shape, size, position and orientation of the shadows cast by the tree canopy and described the diurnal and seasonal changes in those shadows. The objective of this study was to derive analytical expressions to describe the positions and potential effects of shadows in time and space based on shape and size of the canopy, row and tree spacing, row orientation, and the latitude and the longitude of the orchard to compute canopy PAR interception considering the shading from neighbouring trees. The model was based on the assumption that canopies have spherical or ellipsoidal shape. Simulations were performed at different times of the day to study the shading patterns of trees and evaluated in terms of solar radiation received, transmitted and intercepted. The model was calibrated using field data to assist orchard design and canopy management based on lightbar scans obtained at different times of the day. The calibration procedure was tested on an almond orchard by comparing the shadows scanned and estimated by the model. The maximum average values between precision and recall were 87.50% and 87.75%, respectively.
KW - Canopy size
KW - Lightbar
KW - PAR interception
KW - Shading
KW - Shadow prediction
KW - Tree spacing
UR - http://www.scopus.com/inward/record.url?scp=85089799558&partnerID=8YFLogxK
U2 - 10.1016/j.biosystemseng.2020.06.009
DO - 10.1016/j.biosystemseng.2020.06.009
M3 - Article
AN - SCOPUS:85089799558
VL - 198
SP - 120
EP - 136
JO - Biosystems Engineering
JF - Biosystems Engineering
SN - 1537-5110
ER -