About ThirdEye

A key factor in enabling an increase and efficiency in food production is providing farmers with relevant information. Such information is needed as farmers have limited resources (seed, water, fertilizer, pesticides, human power) and are always in doubt in which location and when they should supply these resources. Interesting is that especially smallholders, with their limited resources, are in need of this kind of information. Spatial information from flying sensors (drones) can be used for this. Flying sensors offer also the opportunity to obtain information outside the visible range and can therefore detect information hidden for the human eye (Third Eye). Nowadays, low-cost sensors in the infra-red spectrum can detect crop stress about two weeks before the human eye can see this.

The ThirdEye project supports farmers in Mozambique and Kenya by setting up a network of flying sensors operators. These operators are equipped with flying sensors and tools to analyse the obtained imagery. Our innovation is a major transformation in farmers’ decision making regarding the application of limited resources such as water, seeds, fertilizer and labor. Instead of relying on common-sense management, farmers are now able to take decisions based on facts, resulting in an increase in water productivity. The flying sensor information helps farmers to see when and where they should apply their limited resources. We are convinced that this innovation is a real game-changing comparable with the introduction of mobile phones that empowered farmers with instantaneous information regarding markets and market prices. With information from flying sensors they can also manage their inputs to maximize yields, and simultaneously reduce unnecessary waste of resources. In summary, the missing information on markets has been solved by the mobile phone introduction, the flying sensors close the missing link to agronomic information on where to do what and when.

Progress

From 2014 to 2017, FutureWater has been granted support from the Securing Water for Food program, funded by USAID, Sida and the Dutch Government of Foreign Affairs, for piloting the use of flying sensors to support farmers in Mozambique with their decision making in farm and crop management. In Mozambique, we have transferred our technical skills to local ThirdEye operators over the past 3 years. We currently have 6 active local operators providing service to more than 3,500 farmers over more than 1,600 ha. These operators are able to support over 400 small-scale farmers, by collecting information and sharing it with farmers on weekly basis. Based on the information, farmers take decisions on where to do what in terms of irrigation, fertilizer application and pesticides, helping them improve their water productivity. Furthermore, they now have the capacity to deal with technical issues and are very skilled in providing advice to farmers. As a result, the farmer’s water productivity was increased by 55%, meaning less water is used to achieve the same crop yield as without ThirdEye services. ThirdEye has evolved since 2014 from a start-up to becoming the leading company in Mozambique in the field of mapping and monitoring services for farmers based on aerial images, which will continue to expand its activities over the coming years.

Since last year, the ThirdEye service is also implemented in Kenya as part of the Smart Water for Agriculture program implemented by SNV. Last month the first round of training was given to 5 operators, who will be serving at least 2,000 smallholder farmers the coming months. Training consists of flying sensor use, technical skills, safety and protocols, imagery processing and consultancy. After this, the operators will start working regularly in the regions of Meru and Nakuru. Here they will go the farmer’s fields, conduct flying sensors flights, process the images and give advice on improving their agricultural practices. Next to the service for smallholder farmers, ThirdEye delivers various services to medium and big sized farmers.

Training new operators in the field.
Training new operators in the field.

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Our Technology

Flying sensors

Thanks to our innovation, farmers’ demand for key agricultural information will be satisfied by means of an extension service based on flying sensor (drone) information. The deployment of flying sensors is unique in its ability to provide farmers with real-time, high-resolution, and on-demand information. We provide essential agricultural information:

  • At an ultra-high spatial resolution (NDVI)
  • With unprecedented flexibility in location and timing
  • Based on wavelengths not observable by the human eye
  • With a country-specific business oriented approach.

To this end, we use low-cost high-resolution flying sensors (drones) in a development context to ensure that farmers will get information at their specific level of understanding, and simultaneously develop a network of service providers in Mozambique and Kenya.

A flying sensor is a combination of a flying platform and camera. Reliable flying sensors are on the market in a wide-range of categories each with its specific characteristics. Based on the consortium’s experiences over the last years low-cost flying sensors have been identified that are excellent equipped for our innovation. Typically, a flying sensor flies at a height of 100 meter and overlapping images are taken about every 5 seconds. This results in individual images covering about 50 x 50 meter and an overlap of 5 images for each point on earth. So, in order to cover 100 ha 500 images are taken during a flight.

The use of Flying Sensor is unique and no comparative techniques exist that provide farmers with real-time high-resolution information. The use of satellites to provide farmers with spatial information has been promoted but has three main limitations: they have fixed overpass times, the spatial resolution is low, and the presence of clouds halters the information. It is unlikely that, within the coming decades, progress in satellites will be real competitors of flying sensors. Another category of comparable techniques to provide farmers with information is the use of ground sensors. Typical examples of these sensors are soil moisture devices, soil sampling and laboratory analysis, crop sampling and laboratory analysis. However, all those sensor techniques have the common limitation that information is only local point representative, while the main question farmers have is regarding to spatial differences. Moreover, these ground sensors are in all cases too expensive to be used by small-scale farmers.

Our flying sensors have cameras which can measure the reflection of near-infrared light, as well as visible red light. These two parameters are combined with a formula, giving the Normalized Difference Vegetation Index (NDVI). This information is delivered at a resolution of 2×2 cm in the infra-red spectrum. Infra-red is not visible to the human eye, but provides information on the status of the crop about two weeks earlier than what can be seen by the red-green-blue spectrum that is visible to the human eye. NDVI is the most important ratio vegetation index and says something about the photosynthesis activity of the vegetation. Moreover, NDVI is an indicator for the amount of leaf mass, and therefore, ultimately biomass. In general, open fields have a NDVI value of around 0.2 and healthy vegetation of around 0.8. NDVI values give an indication of crop stress. This can be caused by a lack of water, lack of fertilizer, pests or abundancy of weeds.

This Flying Sensor is equipped with infrared sensors that detect crop stress about two weeks before the naked eye can observe this.
This Flying Sensor is equipped with infrared sensors that detect crop stress about two weeks before the naked eye can observe this.

NDVI technology

When light falls on a leaf, reflection occurs. The amount of reflection of green light (0.54 µm) is very high, making plants green to the human eye. Healthy vegetation does not reflect much red light (0.7 µm), since it is absorbed by chlorophyll abundant in leaves. In the near-infrared spectrum (0,8 µm) the amount of reflection increases rapidly to 80% of the incoming light. This increase is caused by the transition of air between cell kernels. This is characteristic for healthy vegetation.

Damaged plant material does not show this increase in reflected near-infrared light. Moreover, the reflection of red light is much higher than in healthy plant material. By measuring the reflection in these spectra, damaged plant material can be distinguished from healthy plant material (Schans et al., 2011).

With our NDVI technology damaged plant material can be distinguished from healthy plant material.

Our Team


Dr. Peter Droogers
Project leader
Dr. Peter Droogers is general director of HiView and FutureWater. Peter has around 20 years of experiences in water resources, vegetation monitoring, remote sensing and GIS.

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Jan van Til MA
Project manager
Jan van Til (MA) is operational manager of HiView. Jan is a BNUC-S certificated pilot of remotely piloted aircrafts (RPAs). Managing several HiView projects has made him an experienced field officer. Jan van Til has been involved in the ThirdEye project as project manager and flying sensor trainer for more than 3 years.

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Martijn de Klerk MSc
Project manager
Martijn de Klerk is financial manager and hydrologist at FutureWater with over three years of working experience in managing and executing international projects in the fields of water management. Over the past years Martijn had a predominant role as project manager of FutureWater’s ThirdEye projects in Mozambique and Kenya.

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Sam van Til MSc
Operatorational Manager
Sam van Til (MSc) is originally an architecture engineer but he familiarised himself with all technical aspects of the flying operations and is now our operational manager for the teams in Xai-Xai and Chókwè, also providing training.

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Gijs Simons MSc
Scientific Advisor
Gijs Simons (MSc) is a hydrologist with over eight years of working experience in managing and executing international projects in the fields of water resource management and remote sensing.

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Dr. Walter Immerzeel
Scientific Advisor
Dr. Walter Immerzeel has seventeen years experience in geo-informatics, water resource management and climate change and is skilled in hydro-meteorological monitoring, remote sensing, simulation models and spatial analysis.

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Romeo Morello
Marketing
Romeo Morello is marketing and administrative representative at HiView.

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Dercio Roberto Chissaque
Senior Flying Sensor Operator
Dercio Roberto Chissaque is working as senior flying sensor operator in Xai-Xai, Mozambique.





Nordino Justino Fijamo
Senior Flying Sensor Operator
Nordino Justino Fijamo is working as senior flying sensor operator in Chókwè, Mozambique.

Nelson Cossa
Senior Flying Sensor Operator
Nelson Cossa, a water user associations manager, is working as senior flying sensor operator in Chókwè, Mozambique.

Dalton Jonas Munguambe
Flying Sensor operator
Dalton Jonas Munguambe is working as flying sensor operator in Xai-Xai, Mozambique.





Milton Paulao Tomas Valoi
Flying Sensor operator
Milton Paulao Tomas Valoi is working as flying sensor operator in Chówkè, Mozambique.

Vania Dulce Macula
Flying Sensor Operator
Vania Dulce Macula is working as flying sensor operator in Chówkè, Mozambique.

News

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Seminar on the use of flying sensors in agriculture held in Kenya

In a bid to create and increase more awareness on the use of flying sensors (drones) in agriculture, FutureWater and HiView, held a seminar on March 2, 2018 at the KALRO (Kenya Agricultural & Livestock Research Organization) Headquarters in Nairobi, Kenya. The seminar was attended by KALRO researchers, representatives of SNV, government employees, as well …

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