Monitoring Early Stage of Rice Crops Growth using Normalized Difference Vegetation Index generated from UAV

Abstract

Remote sensing is a tool to gather the information about an object or any phenomenon without direct contact or damaging the objects. This technology had numerous application and one of it is in agriculture. Unlike tradition agriculture practiced that difficult to execute and required a large number of man power, implementing this technology will increase the production yield of the crops and improved the agriculture sector in managing and controlling. Remote sensing were able to forecast the crop production, identified the crop type, assess the crop damage and monitoring its progress. Therefore, this research was conducted in order to monitor the early stage of growth of rice crop planted by the farmers in the paddy field using remote sensing. To do so, popular empirical vegetation index known as Normalized Difference Vegetation Index (NDVI) generated from unmanned aerial vehicle (UAV) was selected to monitor the changes of rice crop starting from the day it been planted until eleventh day of planted. Early stage of monitoring the crop growth using NDVI is a best approach to practice. Any damages that occur during this stage will affect the yield production and economy. Result from image analysis shown that NDVI were able to observe the rice crop growth and able to locate the damage part in the paddy plot. Fast action can be made by the farmers to counter attack the damage and treat the problematic points.

Pemantauan Tanaman Padi Menggunakan Sistem Maklumat Geografi dan Imej Multispektral

“…Bacaan NDVI yang dihasilkan daripada imej dron adalah signifikan kerana pada usia 117 hari, pokok padi telah memasuki fasa sedia untuk dituai dan proses penghasilan makan melalui fotosintesis tidak giat dijalankan. Penggunakan peta NDVI boleh digunakan sebagai rujukan untuk tujuan pemantauan pertumbuhan pokok padi yang lebih menyeluruh dan pada masa yang sama dapat mengenal pasti kawasan plot yang mengalami kerosakan dengan merujuk kepada nilai NDVI yang dihasilkan (Rosle, et al 2019). Dengan ini, petani mampu untuk mendapatkan pandangan menyeluruh kawasan tanaman padi dan mendapatkan maklumat kesihatan pokok yang tidak boleh dilihat secara pandangan mata kasar (Kazuki et al, 2017).…”

“…(Wakamori, et al, 2017). Peta NDVI sesuai digunakan sebagai rujukan untuk memantau pertumbuhan tanaman serta mengesan lokasi sebarang kerosakan pada plot tanaman (Rosle, et al, 2019). Gambar rajah 13 di bawah menunjukkan bacaan nilai NDVI (min) pada plot padi mengikut jenis rawatan dan umur pokok padi.…”

Smartphone Application Development for Rice Field Management Through Aerial Imagery and Normalised Difference Vegetation Index (NDVI) Analysis

“…The Normalized Difference Vegetation Index (NDVI) created by multispectral UAV is a plant health indicator that is used to quantify the condition of vegetation in order to assess plant germination and its productivity (Rosle et al, 2019). NDVI values vary from -1 to 1, whereby -1 means non-living things, while 1 applies to living things (Christensen, 2019).…”

“…NDVI values vary from -1 to 1, whereby -1 means non-living things, while 1 applies to living things (Christensen, 2019). Furthermore, it has been used to determine crop health status via the detection of chlorophyll content in the crop (Rosle et al, 2019). Smartphone apps have been widely used for different functions in agricultural management.…”

Growth Models And Age Estimation Of Rice Using Multitemporal Vegetation Index On Landsat 8 Imagery

“…Spatial data is needed to monitor rice growth and age models for proper distribution and analysis using remote sensing technology. Several approaches are used to estimate the ricegrowing phase, such as the Vegetation Index value approach, as stated in a research carried out by [9] and [10]. However, this study utilizes the Normalized Difference Vegetation Index (NDVI) to estimate rice growth.…”