The use of the Unmanned Aerial System (UAS) has attracted scientific attention because of its potential to generate high-throughput phenotyping data. The application of UAS to guar phenotyping remains limited. Guar is...The use of the Unmanned Aerial System (UAS) has attracted scientific attention because of its potential to generate high-throughput phenotyping data. The application of UAS to guar phenotyping remains limited. Guar is multi-purpose legume species. India and Pakistan are the world’s top guar producers. The U.S. is the world guar largest market with an import value of >$1 billion annually. The objective of this study was to test the feasibility of UAS phenotyping of plant height and canopy width in guar. The UAS data were collected from a field plot of 10 guar accessions on July 7, 2021, and September 27, 2021. The study was organized in a Randomized Complete Block Design (RCBD) with 3 blocks. A total of 23 Vegetation Indices (VIs) were computed. The analysis of variance showed significant genotypic effects on plant weight (p < 0.05) and canopy width (p on plant height (p most VIs were significant for both flights (p Vegetation Index (NDVI) and Red Edge Normalized Difference Vegetation Index (NDRE) were significantly and highly correlated with plant height (r = 0.74) and canopy width (r = 0.68). The results will be of interest in developing high throughput phenotyping approach for guar breeding.展开更多
Airflow speed is one of the three factors of air-assisted spraying.Optimizing the matching model between airflow speed and target canopy characteristics is an effective way to improve the orchard precision spraying te...Airflow speed is one of the three factors of air-assisted spraying.Optimizing the matching model between airflow speed and target canopy characteristics is an effective way to improve the orchard precision spraying technology,as airflow can significantly affect droplet deposition and drift loss.A simple model of airflow speed was established in this study.First,air-assisted spraying experiments were carried out on a standard simulation canopy to study the airflow speed depended on canopy width,leaf area index,and porosity rate.Second,determined by Ribbon Method and verified by droplet drift data,the airflow speed through the canopy was between 0.5 m/s and 0.7 m/s.Third,multiple tests were carried out under standard simulation canopy with different characteristics,and the airflow speed model was established ultimately:with a fixed leaf area index(LAI),the relationship between canopy upwind boundary airflow speed and canopy width satisfied the exponential model(y=ae^(bx)),and the coefficients a and b are well related to the density of branches and leaves in the canopy.When LAI=3.456,y=2.036e^(1.5887x),R^(2)=0.994;LAI=1.728,y=1.639e^(1.445x),R^(2)=0.972.Orchard growers can acquire needed airflow speed through this simple model,it is quick and precise and appropriate to most growth periods of a variety of fruit trees,such as apples,pears,and vines.展开更多
文摘The use of the Unmanned Aerial System (UAS) has attracted scientific attention because of its potential to generate high-throughput phenotyping data. The application of UAS to guar phenotyping remains limited. Guar is multi-purpose legume species. India and Pakistan are the world’s top guar producers. The U.S. is the world guar largest market with an import value of >$1 billion annually. The objective of this study was to test the feasibility of UAS phenotyping of plant height and canopy width in guar. The UAS data were collected from a field plot of 10 guar accessions on July 7, 2021, and September 27, 2021. The study was organized in a Randomized Complete Block Design (RCBD) with 3 blocks. A total of 23 Vegetation Indices (VIs) were computed. The analysis of variance showed significant genotypic effects on plant weight (p < 0.05) and canopy width (p on plant height (p most VIs were significant for both flights (p Vegetation Index (NDVI) and Red Edge Normalized Difference Vegetation Index (NDRE) were significantly and highly correlated with plant height (r = 0.74) and canopy width (r = 0.68). The results will be of interest in developing high throughput phenotyping approach for guar breeding.
基金financially supported by the National Natural Science Foundation of China(Grant No.2016YFD020070).
文摘Airflow speed is one of the three factors of air-assisted spraying.Optimizing the matching model between airflow speed and target canopy characteristics is an effective way to improve the orchard precision spraying technology,as airflow can significantly affect droplet deposition and drift loss.A simple model of airflow speed was established in this study.First,air-assisted spraying experiments were carried out on a standard simulation canopy to study the airflow speed depended on canopy width,leaf area index,and porosity rate.Second,determined by Ribbon Method and verified by droplet drift data,the airflow speed through the canopy was between 0.5 m/s and 0.7 m/s.Third,multiple tests were carried out under standard simulation canopy with different characteristics,and the airflow speed model was established ultimately:with a fixed leaf area index(LAI),the relationship between canopy upwind boundary airflow speed and canopy width satisfied the exponential model(y=ae^(bx)),and the coefficients a and b are well related to the density of branches and leaves in the canopy.When LAI=3.456,y=2.036e^(1.5887x),R^(2)=0.994;LAI=1.728,y=1.639e^(1.445x),R^(2)=0.972.Orchard growers can acquire needed airflow speed through this simple model,it is quick and precise and appropriate to most growth periods of a variety of fruit trees,such as apples,pears,and vines.
