Bagworms Detection Using UAV Data

1
DETECTION OF BAGWORMS IN OIL PALM USING UAV

• By
• Jwan M Mohammed Aldoski
• SUPERVISORS COMMITTEE
• Prof. Dr. Shattri Mansor
• Assoc. Prof. Dr. Helmi Z.M. Shafri
• Assoc. Prof. Dr. Biswajeet Pradhan

2
Introduction

• Insects, disease and vertebrates cause major
  production and economic losses in agricultural
  industry worldwide. Detection of insect infection
  in plants and trees is critical for sustainable
  agriculture.
• An oil palm tree (Elaeis guineensis) is the most
  important commodity crop in Malaysia. It was
  first introduced to Malaysia as an ornamental
  plant in 1870. Since 1960, planted area had
  increased at a rapid pace. In 2014, 4.9 million
  hectares were planted with palm tree.
• The yield losses in oil palm plantations caused
  mainly by disease and insects (pest). The
  bagworms pest is a main insect affecting the oil
  palm plantation in Malaysia and cause 40 of
  yield losses in next two years when trees
  attracted.
• Mohd Basri, W. (2003). Handbook of pests and
  diseases of oil palm, Kuala Lumpur, Malaysian
  Palm Oil Board
•  

3
Introduction

• The pest detection is important phases in oil
  palm plantations for executing proper management
  strategies to prevent the development and the
  spread of diseases and pests. Detection done
  using traditional methods and remote sensing
  technology.
• Recently unmanned aerial vehicles (UAV) Base
  provides an opportunity to obtain qualitative and
  quantitative information on large areas of
  vegetation in a non-destructive manner hence it
  becomes a possible solution to the pest detecting
  especially the bagworms infestation.
•  

4
Bagworms
5
Bagworms Damages
6
(No Transcript)
7
PROBLEM STATEMENT

• Bagworms pest are reported as serious pests of
  oil palm in Malaysia, which cause damage by
  defoliating the oil palm tree. Severe defoliation
  causes reductions in photosynthesis and fruit
  production, resulting in yield losses about 40.
• Recently, the emergence call in different part of
  oil palm plantations around Malaysia to detect
  this insect using remote sensing technology.

8
HYPOTHESIS
9
OBJECTIVES

• The main objective of this research is to develop
  technique base on UAV- images for pre-visual
  detection of bagworms pest in oil palm

10
STUDY AREA
11
Field Boundary
303 303
FID 12
Estate_Cod 303
Estate Ladang Sungai Mengah
Block 01
Block_ID E3R40
Field 96A
Field_ID E3R33
Area_Hec 149.34
Planted_He 141.92
Estate_Hec 131.4
N 0
12
(No Transcript)
13
(No Transcript)
14
(No Transcript)
15
UAV -Data
16
Satellite Image
Satellite Image Processing
17
Expect Publication

• Papers that I am going to publish
• UAV-based approach for Bagworms Detection in Oil
  Palm Plantation
• Mid-infrared sensor for detection of Bagworms in
  Oil Palm
• Modified vegetation indices for Bagworm pest
  detection in oil palm plantation.
• Review
• Hyperspectral Remote Sensing Technique and Plant
  Disease Detecting
• submite to Pertanika Journal of Scholarly
  Research Reviews http//www.pjsrr.upm.edu.my/
• Thermal imagery for plant disease
• ( submit to 2nd Kuala Lumpur International
  Agriculture Forestry and Plantation Conference"
  ltcms_at_confbay.com)
• UAV base Imagery Technology in Pest Management