Rubber-Tree Leaf Diseases Mapping Using Close Range Remote Sensing Images

 Currently, close-range remote sensing method using drone-based platform which payload compact sensor has been used for monitoring and mapping in the agriculture sector at large area. Thus, this study is deployed drone with a compact sensor to identify the rubber tree leaf diseases based on two groups of a spectral wavelength which are visible (RGB: 0.4 µm – 0.7 µm) and near infrared (NIR: 0.7µm – 2.0 µm), respectively. Spectral obtained from drone-based platform will be validated using ground observation handheld spectroradiometer. Eight types of rubber tree clones leaf at three different conditions (healthy, unhealthy and severe) were randomly selected within the 9.4-hectare Experimental Rubber Plot, Rubber Research Institute of Malaysia (RRIM), Kota Tinggi, Johor whereby consist RRIM 2000 series, RRIM 3000 series, and PB series, respectively. Based on the result, quantitative analysis shows that the f-value is smaller than Critical-one tail for healthy, unhealthy while for severe the f-value is larger than Critical-one tail. The f-value is 2.887 < 4.283 (healthy), 0.002 < 0.264 (unhealthy) and 1.008 > 0.0526, respectively. Thus, this can be concluded that spectral and estimate is equal at the 0.05 significant levels. For qualitative analysis, it shows that each rubber clone tree diseases can be distinguished at the near infrared band for healthy, unhealthy and severe respectively

Rubber-Tree Leaf Diseases Mapping Using Close Range Remote Sensing Images

 Currently, close-range remote sensing method using drone-based platform which payload compact sensor has been used for monitoring and mapping in the agriculture sector at large area. Thus, this study is deployed drone with a compact sensor to identify the rubber tree leaf diseases based on two groups of a spectral wavelength which are visible (RGB: 0.4 µm – 0.7 µm) and near infrared (NIR: 0.7µm – 2.0 µm), respectively. Spectral obtained from drone-based platform will be validated using ground observation handheld spectroradiometer. Eight types of rubber tree clones leaf at three different conditions (healthy, unhealthy and severe) were randomly selected within the 9.4-hectare Experimental Rubber Plot, Rubber Research Institute of Malaysia (RRIM), Kota Tinggi, Johor whereby consist RRIM 2000 series, RRIM 3000 series, and PB series, respectively. Based on the result, quantitative analysis shows that the f-value is smaller than Critical-one tail for healthy, unhealthy while for severe the f-value is larger than Critical-one tail. The f-value is 2.887 < 4.283 (healthy), 0.002 < 0.264 (unhealthy) and 1.008 > 0.0526, respectively. Thus, this can be concluded that spectral and estimate is equal at the 0.05 significant levels. For qualitative analysis, it shows that each rubber clone tree diseases can be distinguished at the near infrared band for healthy, unhealthy and severe respectively

Rubber Leaf Disease Detection From Low Altitude Remote Sensing Techniques

The rubber tree is an important commodity crop in Malaysia that contributing about 20% of world natural rubber production.However,infection of several diseases will affect yield production and also the life of the plant.Recently,latex yield production in Malaysia shows decrement of 20% that caused by rubber leaf diseases since 2011.Therefore,this study aims to identify the health of rubber tree that affected by Oidium leaf disease using low altitude remote sensing images that acquired from unmanned aerial vehicle (UAV) platform. Based on remote sensing approach, the characteristics of rubber leaf disease can be identified from two groups of a spectral wavelength at visible (RGB: 0.4 μm–0.7 μm) and near infrared (NIR: 0.7 μm–2.0 μm),respectively using digital compact cameras.Both images RGB and NIR, respectively are acquired using low altitude UAV (120 m–170 m above ground level) at 10 hectares rubber plantation experimental plot in southern of Peninsular Malaysia.The images are then to be analyzed and calibrated with the handheld spectroradiometer in order to measure the spectral trends of infected leaf.As a result,this study successful investigates the new application using low-cost UAV payload digital compact camera which considered as low altitude remote sensing technique to be used in rubber leaf disease detection. Thus,NIR and red respectively are identify as the potential spectrum region from digital compact camera that suitable to be used in rubber leaf disease spectral analysis