Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313408191> ?p ?o ?g. }
- W4313408191 endingPage "107503" @default.
- W4313408191 startingPage "107503" @default.
- W4313408191 abstract "In recent years, variable-rate spraying technology has been proposed to solve the pesticide waste and environmental pollution problems caused by traditional spraying methods. Variable-rate spraying methods use sensors to measure the leaf amounts in the target canopies, which are used to adjust the amount of liquid and ensure even spraying for canopies of different sizes and densities. One of these methods uses mobile laser scanning (MLS) technologies with a two-dimensional (2D) light detection and ranging (LiDAR) sensor to capture the point cloud of the canopy, and then the total point number (TPN) is used to evaluate the total leaf area (TLA) of the canopy as a basis for variable-rate spraying. However, the moving speed and ranging distance of LiDAR often vary in the process of spraying, resulting in an inconsistent TPN and a large influence on the accuracy of the TLA measurement. In this paper, a new method for estimating the TLA of an individual tree canopy is proposed based on the total grid area (TGA) measured from the first and second echoes of a LiDAR sensor. The grid area at a single point is calculated by multiplying the LiDAR moving resolution and scanning resolution. To evaluate the proposed method, we use an artificial tree, the branches of which are pruned to generate nine canopies with different densities. Both sides of the canopies are scanned at three distances, namely, 1.0 m, 1.5 m, and 2.0 m, and at a constant moving speed of 0.104 m/s. Then, the point cloud of each canopy is sampled multiple times to simulate a variety of moving speeds ranging from 1.040 m/s to 2.080 m/s. Finally, a total of 594 test canopies are obtained. Univariate polynomial regression is adopted to evaluate the TLA by using the TPN and TGA. When the polynomial order is set to 2, the coefficient of determination (R-squared) of the TPN evaluation is 0.5759 with a 4662.4542 cm2 root mean squared error (RMSE), and the R-squared of the TGA evaluation is 0.9617 with a 1401.1652 cm2 RMSE. The experimental results show that the proposed method can effectively eliminate the effects of different LiDAR moving speeds and ranging distances during TLA measurements." @default.
- W4313408191 created "2023-01-06" @default.
- W4313408191 creator A5075146162 @default.
- W4313408191 creator A5082841306 @default.
- W4313408191 date "2023-01-01" @default.
- W4313408191 modified "2023-09-26" @default.
- W4313408191 title "Total leaf area estimation based on the total grid area measured using mobile laser scanning" @default.
- W4313408191 cites W1987428193 @default.
- W4313408191 cites W1989561113 @default.
- W4313408191 cites W1997322519 @default.
- W4313408191 cites W2022376010 @default.
- W4313408191 cites W2073190789 @default.
- W4313408191 cites W2082644536 @default.
- W4313408191 cites W2123986772 @default.
- W4313408191 cites W2231286458 @default.
- W4313408191 cites W2514074890 @default.
- W4313408191 cites W2529284161 @default.
- W4313408191 cites W2541630240 @default.
- W4313408191 cites W2792928073 @default.
- W4313408191 cites W2793718746 @default.
- W4313408191 cites W2793793054 @default.
- W4313408191 cites W2795972457 @default.
- W4313408191 cites W2808911004 @default.
- W4313408191 cites W2894440407 @default.
- W4313408191 cites W2896590660 @default.
- W4313408191 cites W2901846858 @default.
- W4313408191 cites W2908597743 @default.
- W4313408191 cites W2953421574 @default.
- W4313408191 cites W2956333966 @default.
- W4313408191 cites W2989660890 @default.
- W4313408191 cites W2998054037 @default.
- W4313408191 cites W3004906816 @default.
- W4313408191 cites W3035122126 @default.
- W4313408191 cites W3038740996 @default.
- W4313408191 cites W3048302016 @default.
- W4313408191 cites W3094233092 @default.
- W4313408191 cites W3095305805 @default.
- W4313408191 cites W3110750389 @default.
- W4313408191 cites W3111188917 @default.
- W4313408191 cites W3175014773 @default.
- W4313408191 cites W3176043636 @default.
- W4313408191 cites W3177016866 @default.
- W4313408191 cites W4200488300 @default.
- W4313408191 cites W4285587541 @default.
- W4313408191 cites W4285802070 @default.
- W4313408191 cites W4292068856 @default.
- W4313408191 cites W4315490056 @default.
- W4313408191 doi "https://doi.org/10.1016/j.compag.2022.107503" @default.
- W4313408191 hasPublicationYear "2023" @default.
- W4313408191 type Work @default.
- W4313408191 citedByCount "5" @default.
- W4313408191 countsByYear W43134081912023 @default.
- W4313408191 crossrefType "journal-article" @default.
- W4313408191 hasAuthorship W4313408191A5075146162 @default.
- W4313408191 hasAuthorship W4313408191A5082841306 @default.
- W4313408191 hasConcept C101000010 @default.
- W4313408191 hasConcept C113174947 @default.
- W4313408191 hasConcept C115051666 @default.
- W4313408191 hasConcept C120665830 @default.
- W4313408191 hasConcept C121332964 @default.
- W4313408191 hasConcept C131979681 @default.
- W4313408191 hasConcept C13280743 @default.
- W4313408191 hasConcept C134306372 @default.
- W4313408191 hasConcept C141349535 @default.
- W4313408191 hasConcept C166957645 @default.
- W4313408191 hasConcept C205649164 @default.
- W4313408191 hasConcept C31972630 @default.
- W4313408191 hasConcept C33923547 @default.
- W4313408191 hasConcept C39432304 @default.
- W4313408191 hasConcept C39807119 @default.
- W4313408191 hasConcept C41008148 @default.
- W4313408191 hasConcept C51399673 @default.
- W4313408191 hasConcept C520434653 @default.
- W4313408191 hasConcept C62649853 @default.
- W4313408191 hasConceptScore W4313408191C101000010 @default.
- W4313408191 hasConceptScore W4313408191C113174947 @default.
- W4313408191 hasConceptScore W4313408191C115051666 @default.
- W4313408191 hasConceptScore W4313408191C120665830 @default.
- W4313408191 hasConceptScore W4313408191C121332964 @default.
- W4313408191 hasConceptScore W4313408191C131979681 @default.
- W4313408191 hasConceptScore W4313408191C13280743 @default.
- W4313408191 hasConceptScore W4313408191C134306372 @default.
- W4313408191 hasConceptScore W4313408191C141349535 @default.
- W4313408191 hasConceptScore W4313408191C166957645 @default.
- W4313408191 hasConceptScore W4313408191C205649164 @default.
- W4313408191 hasConceptScore W4313408191C31972630 @default.
- W4313408191 hasConceptScore W4313408191C33923547 @default.
- W4313408191 hasConceptScore W4313408191C39432304 @default.
- W4313408191 hasConceptScore W4313408191C39807119 @default.
- W4313408191 hasConceptScore W4313408191C41008148 @default.
- W4313408191 hasConceptScore W4313408191C51399673 @default.
- W4313408191 hasConceptScore W4313408191C520434653 @default.
- W4313408191 hasConceptScore W4313408191C62649853 @default.
- W4313408191 hasFunder F4320321001 @default.
- W4313408191 hasLocation W43134081911 @default.
- W4313408191 hasOpenAccess W4313408191 @default.
- W4313408191 hasPrimaryLocation W43134081911 @default.
- W4313408191 hasRelatedWork W2104650469 @default.