Matthew Barre

Matthew Barre

Организация SLANTRANGE
Organization role
Director of Strategic Development
Страна United States of America
Area of Expertise
Remote Sensing
Data Analytics
Drones

This member participated in the following Forums

Форум e-Agriculture Learning Activity on the use of Drones in Agriculture and Rural Development – 16 to 27 October 2017

Thursday 19 October: Use of drones in agriculture and rural development - part 2

Опубликовано Matthew Barre - пн, 10/23/2017 - 05:20

Hello. Thank you again for the opportunity to speak to your global network of members. I've provided answers to the remaining questions below.

  • Can we use drones without an Internet connection?
    • Most drones can be flown without and internet connection but will require a connection at some point to download the maps required to set up your flight plan. Most flight planners support setting up your flight when you have an internet connection and then flying the mission offline without a connection. As I discussed in the webinar, our sensor and analytics platform does not require an internet connection.
  • Can you list the specific wavelength for each Band available in the multispectral camera? For analysis, is it just using NDVI or another kind of band analysis was involved?
    • Our standard configuration includes 550 nm, 650 nm, 710 nm, and 850 nm. However, you can customize these bands anywhere between 410 nm and 950 nm. Our software produces 3 variants of NDVI but also several custom metrics we’ve developed internally to provide insights beyond NDVI.
  • How to differentiate between plant stress and plant with disease/ nutrient deficiency?
    • The current state of multispectral remote sensing and analytics does not typically allow you to differentiate between the various sources that may be causing stress in the plant. This is where the expertise of an agronomist is always recommended. These tools are not intended to replace an agronomist but rather make them more efficient by catching problems earlier and not missing important issues. With that said, our Smart Detection tool can be trained to look for spectral signatures of specific conditions.
  • What is the best flight height for drone and the best time in the day?
    • The flight altitude depends on what data you're trying to collect and what resolution is required to do so. For example, stand counts might be flown at 40-50 meters while stress analysis of more mature crops might be flown at 120 meters. The flight planners we use provide tools to recommend flight altitudes based on the size of your plants and the data you want to collect. While our calibration sensor normalizes measurements collected under varying lighting conditions, we still recommend flying within 2 hours of solar noon to ensure there's enough light to make accurate measurements.
  • What is the best software for analyzing drone images captured by the agricultural sensor?
    • There are many options to choose from based on your specific needs, including the analytics you require as well as your workflow, data storage, data sharing, and integration requirements. Our software, SlantView, is designed specifically for our sensors.
  • Is there any open source software to analyze drone images?
    • Yes, there are several. OpenDroneMap is one example.

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