Crop yield estimation is an important task in apple orchard management. The current manual sampling-based yield estimation is time-consuming, labor-intensive and inaccurate. To deal with this challenge, we developed a computer vision-based system for automated, rapid and accurate yield estimation. The system uses a two-camera stereo rig for image acquisition. It works at nighttime with controlled artificial lighting to reduce the variance of natural illumination. An autonomous orchard vehicle is used as the support platform for automated data collection. The system scans both sides of each tree row in orchards. A computer vision algorithm detects and registers apples from acquired sequential images, and then generates apple counts as crop yield estimation. We deployed the yield estimation system in Washington state in September, 2011. The results show that the system works well with both red and green apples in the tall-spindle planting system. The crop yield estimation errors are -3.2% for a red apple block with about 480 trees, and 1.2% for a green apple block with about 670 trees.
Per- and polyfluoroalkyl substances
(PFASs) have been manufactured
and widely used for over 60 years. Currently, there are thousands
of marketed PFASs, but only dozens of them are routinely monitored.
This work involved target, nontarget, and suspect screening of PFASs
in the liver of Indo-Pacific humpback dolphin (Sousa
chinensis) and finless porpoise (Neophocaena
phocaenoides), two resident marine mammals in the
South China Sea, stranded between 2012 and 2018. Among the 21 target
PFASs, perfluorooctane sulfonate and 6:2 chlorinated polyfluoroalkyl
ether sulfonate (6:2 Cl-PFESA) predominated in the samples, accounting
for 46 and 30% of the total PFASs, respectively. Significantly higher
total target PFAS concentrations (p < 0.05) were
found in dolphin liver samples [3.23 × 103 ±
2.63 × 103 ng/g dry weight (dw)] than in porpoise
liver samples (2.63 × 103 ± 1.10 × 103 ng/g dw). Significant increasing temporal trends (p < 0.05) were found in the concentrations of two emerging
PFASs, perfluoroethylcyclohexane sulfonate and 2,3,3,3-tetrafluoro-2-propanoate
in porpoises, indicating increasing pollution by these emerging PFASs.
Forty-four PFASs from 9 classes were additionally identified by nontarget
and suspect screening, among which 15 compounds were reported for
the first time in marine mammals. A primary risk assessment showed
that the emerging PFAS 6:2 Cl-PFESA could have possible adverse effects
in terms of reproductive injury potential on most of the investigated
cetaceans.
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