Buy your Sentera Quad Multispectral Sensor from Rise Above in Sydney, and have confidence that you are dealing with Australia's UAV experts. We always offer Australia's best prices and support. For more info, click here
The Sentera Quad Sensor is the latest addition to our high-precision in precision agriculture drone sensors.
Featuring four fully-customizable multispectral imagers, the Quad Sensor is a precision agriculture, data-collection powerhouse offering standard Normalized Difference Vegetation Index (NDVI), Green NDVI, Normalized Difference Red Edge (NDRE), and high-resolution color data capture – all in a single flight. Simultaneous collection of NDVI and NDRE data provides users with informative, accurate insights about crop health while streamlining operations.
Sentera’s Quad Sensor is sought by Universities, researchers, large growers, and advisors to provide high-precision, low-distortion vegetative health data tailored for unique applications.
Using plug-and-play technology, our Quad Sensor in a fixed nadir position instantly couples with Sentera’s PHX fixed-wing or DJI Inspire 1 drones in the field, ensuring seamless integration, efficient operations, and precise data capture. Also compatible are the DJI Phantom 3 and 3DR Solo drone platforms.
1x 1.2MP CMOS RGB
3X 1.2MP CMOS Mono
- 655nm CWL x 40nm width
- 725nm CWL x 25nm width
- 800nm CWL x 25nm width
32GB SD card per sensor (~200,000 JPEG images per card)
50° horizontal FOV / 39° vertical FOV
76mm x 62mm x 48mm (3” x 2.45” x 1.9”)
Weight: 170 grams
Further Information regarding Multi-spectral technology can be found here https://www.riseabove.com.au/page/ndvi/
To see the differences between the Multi-spectral cameras we have on offer check out this link https://www.riseabove.com.au/page/ndvi-sensors/
Getting a drone working in your business is very simple. It can seem difficult, but it's not. Sentera is with you every step of the way, and we're committed to making this simple, fun, and valuable.
NDVI-equipped drones can map crop health across entire fields in a matter of minutes. With NDVI data you can identify areas of stress in your field, often days before you can detect it with your eye. Stress is caused by a number of factors, which is why there is no substitute for you (or your trusted advisor) to get your boots in the field. However, a Sentera drone can tell you where to put your boots first.
An NDVI-equipped drone can help you protect and optimize your plots.
Understanding your crops’ health status isn’t the easiest thing to do. Sure, you can use the “eye test”, and a number of foliar contact and direct measurement techniques. But, what if there was an easy, fast and efficient way to see the health of plants and their status and progress over time? That’s where Normalized Difference Vegetation Index (NDVI) data comes in.
NDVI is often discussed without much explanation. Even at Sentera, we are proud to talk about our ability to compute NDVI in real time, but sometimes we forget to start by explaining what NDVI is. That can leave everyone feeling a bit confused. We don’t want that. We want you to know what data you’re getting, and help make it easier to manage your fields. So let’s clear it up.
In simple terms, NDVI is a measurement of plant health based on how a plant reflects light (usually sunlight) at specific frequencies. To be more specific, NDVI is a measurement of the reflectivity of plants expressed as the ratio of near-infrared reflectivity (NIR) minus red reflectivity (VIS) over NIR plus VIS.
The equation for NDVI was developed several decades ago to make use of satellite imagery in agriculture. The way the equation is built makes it insensitive to overall brightness or darkness of light — it essentially tracks the ratio of NIR to red reflectivity, which doesn’t change with overall brightness.
NDVI works because when sunlight reaches a plant, certain wavelengths are absorbed while others are reflected. Chlorophyll strongly absorbs visible light while the cell structure of leaves strongly reflects near-infrared light. A spongy layer along the bottom of a plant causes these reflections. When a plant becomes dehydrated, sick, affected by disease, etc. this spongy layer deteriorates and the plant absorbs more of that near-infrared light rather than reflecting it. Conversely, when near-infrared light hits a leaf on a healthy plant, it is reflected back. So, looking at how NIR varies compared to red light provides an accurate indication of chlorophyll, which correlates to plant health.
The equation explained above will always result in a NDVI plant health value between -1 and +1. A number between -1 and 0 suggests an inanimate or dead object, like roads, buildings, or dead plants. A NDVI plant health rating between 0 and 0.33 indicates unhealthy or stressed plant material, 0.33 to 0.66 is moderately healthy, and 0.66 to 1 is very healthy. These numbers are just rules of thumb, and vary based on type of plant and other conditions. But that’s enough science for now.
During the growing season, efficient use of time saves money, and better decisions grow profits. Sentera drones, sensors, software and analytics allow you to see NDVI plant health values in real time. You simply fly your drone, upload the data to AgVault, and get instant plant health maps. Some Sentera systems even let you see instantaneous, LiveNDVI™ video. NDVI is only available from sensors that can sense near-infrared (NIR) light. Synthetic NDVI is not real NDVI.
NDVI Values and Plant Health Maps, As mentioned, NDVI plant health values are between -1.0 and +1.0 But how does this translate to the colorful NDVI maps you’ve probably seen? Basically, certain ranges of NDVI values are mapped to a set of colors. One of the most common color maps is the “red-green” NDVI color map. In this map, NDVI plant health values from -1 to 0 range appear red, 0.0 to 0.33 are orange-ish red or yellow, 0.33 to 0.66 tint green, and above 0.66 appear green. There isn’t a “standard” color map. Some people don’t like these colors, some people want more colors and some want fewer. AgVault’s NDVI Toolbox™ lets you recolor, adjust, add or remove colors, and change color palettes dynamically for exactly this reason — not everybody liked the colors we chose, so now we let them pick their own!
Here we see a stitched plant health map showing various NDVI values. The large red areas along each side are inanimate material (roads, house, dirt, etc.). Focusing on the outlined portion of the field, we notice NDVI plant health values ranging from green (good) to red (bad). By navigating to the two areas of concern within the field, the grower was able to identify weeds and washout. As a result, he applied the appropriate herbicide and adjusted irrigation measures to avoid yield loss. He was also able to identify thriving areas of his field (green) and reallocate inputs to boost his ROI.
Bottom line: NDVI = Plant Health
Overall, NDVI is a way to measure plant health. Sentera sensors detect indicators invisible to the naked eye, utilizing light reflections and absorptions to calculate an NDVI score. Healthy plants absorb most of the visible light while reflecting a large amount of the near-infrared light. Unhealthy plants do the opposite. NDVI is an extremely helpful tool to assess plant health, and understanding it is important. Your advisor can work with you to unlock even more value, by incorporating high-precision NDVI data right into most digital agriculture platforms.
Typically, sensors found in a cell phone or point-and-shoot cameras are equipped with three channels for sensing colors. The channels are usually aligned to optimize photography of the visible spectral range (red, green, blue -- RGB) so that your photographs match what you see with your eye. Near-infrared (NIR) light is invisible to the human eye and is where plants do a lot of reflecting. While RGB sensors are capable of detecting light in the NIR range, that range is typically blocked using an optical filter. Otherwise, the NIR light would affect your pictures, making them look poor and washed out. Some companies offer services to remove the NIR filter and substitute different ones inside commercial RGB cameras; however, because the cameras themselves are not designed to capture true NIR wavelengths, the modifications only result in poor and inaccurate data.
Bottom line: you need a true NIR camera to capture true NDVI data.
You can read the White Paper here
As of May 2017, 1 year of FieldAgent™ Pro is included with every sensor. This applies to NDVI upgrades, complete solution kits, and OEM sales.
Sensor purchases made prior to this date came packaged with FieldAgent™ Free, a lightweight version of FieldAgent™.
|Resolution||1 x 1.2MP CMOS RGB
3 x 1.2MP CMOS Mono
|Pixel Count||1248 x 950|
|Lens FOV||50° horizontal / 39° vertical - Low Distortion|
|GSD @ 200’||1.8” (4.5cm)|
|CGSD @ 400’||3.6” (9.1cm)|
|Frame Rate||1.2MP Stills: 7fps
720p Video: 20-24fp
|Size||3” x 2.45” x 1.9” (76mm x 62mm x 48mm)|
|Power||5 to 26.2VDC, 12W typical|
|Storage||32GB SD card per sensor
• JPEG, 200,000 images per card
• TIFF, 8,000 images per card
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