Abstract
Bacterial leaf blight (BLB), bacterial panicle blight (BPB), and stem borer (SB) are serious infestations to the rice crop. Detection is the first essential step for effective management. The objective of the study is to provide a fast and accurate tool in detecting the infestation damages through Unmanned Aerial Vehicle (UAV) aerial imagery. System of Rice Intensification (SRI) was implemented and a UAV equipped with a digital multispectral camera was used to capture image of 20 rice plots that were treated with two types of fertilizers (organic and inorganic) in two different treatment rates namely; uniform rate and variable rate. Ground truths of infestation were observed and collected. Geospatial interpolation (kriging), linear regression analysis, and Soil Plant Analysis Development (SPAD) value models were carried out to predict the zones and level of infestation damages in the rice field. Maps showing areas with high, medium, and low counts of infestation damages were prepared using spatial analysis. The results of the relationship indicate that there were a strong correlation and high R2 between SPAD values obtained through the UAV method and infestation counts during the growth stages of 60 Days After Transplanting (DAT), 80 DAT, and 100 DAT. The findings show that the high severity of infestation happened in the plot that used a high amount of fertilizer compared to the plot that supplied with variable rate fertilizer. Infestation maps produced from the UAV aerial image would be an effective tool in detecting the pest and disease in the rice field.
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Claims 3
Claim · model-written summary
UAV derived SPAD values were strongly correlated with infestation counts at 60, 80, and 100 days after transplanting.
- Taxon
- rice
Oryza sativat0 - Organ / stage
- 60 Days After Transplanting (DAT), 80 DAT, and 100 DATe0
- Outcome
- infestation countse0
- Comparator
- SPAD values obtained through the UAV methode0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“there were a strong correlation and high R2 between SPAD values obtained through the UAV method and infestation counts during the growth stages of 60 Days After Transplanting (DAT), 80 DAT, and 100 DAT.”
t0“rice field”
Claim · model-written summary
Infestation severity was higher with a high fertilizer amount than with variable rate fertilizer.
- Taxon
- riceOryza sativat0
- Treatment
- high amount of fertilizere0
- Outcome
- severity of infestatione0
- Direction
- highe0
- Comparator
- variable rate fertilizere0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“high severity of infestation happened in the plot that used a high amount of fertilizer compared to the plot that supplied with variable rate fertilizer.”
t0“rice field”
Claim · model-written summary
Infestation maps from UAV imagery were presented as an effective tool for detecting rice pests and disease.
- Taxon
- riceOryza sativat0
- Outcome
- detecting the pest and diseasee0
- Qualifier
- effective toole0
Not reportedComparatorValue
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Infestation maps produced from the UAV aerial image would be an effective tool in detecting the pest and disease in the rice field.”
t0“rice field”
The same questions in other papers
fertilization · disease · Oryza sativa (rice)Positive and negative results
23 papers in the same direction as this paper · 91 in the opposite direction
- positive
- positive
- positive
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See all 115 papers →Claims are grouped by organism, treatment and what was measured or targeted. A paper counts as positive when any of its claims in the group is positive.