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Precision and Smart Farming

The power of multispectral, hyperspectral, thermal and sensor data in agriculture

The objective

To maximise crop yields while keeping down fertiliser use and minimising the amount of water needed for irrigation purposes.

The problem

In large(r) farms, it is difficult to examine and administrate every and each individual tree or plant manually. Traditional manual inspection surveys are simply too time-consuming, too labor intensive, too inconsistent and therefore too erroneous.

For many real life problems there is no simple “one solution fixes all” Common farm problems such as pests and diseases are often the result of many wrong parameters happening at the same time. Prevention may mitigate some of the issues but definitely not all. Actively combating pests and diseases on the ground remains a critical activity…but even this can be automated to a certain extend.

Green A&E – a mango/lemon/coconut/banana/cocoa farm (Bigwa Farm – 80ha) owner in Tanzania – understands that the holy grail is a blend of carefully selected but affordable solutions made accessible to the common farmer in a way it gives the expected results.

  • Monitor crop health and identify diseases and deficiencies early.
  • Efficiently manage agri-inputs such as fertiliser and pesticides.
  • Monitor water usage, plan drainage and irrigation systems.
  • Perform automated plant counting, classification, and weed detection.

The objective

To maximise crop yields while keeping down fertiliser use and minimising the amount of water needed for irrigation purposes.

The problem

In large(r) farms, it is difficult to examine and administrate every and each individual tree or plant manually. Traditional manual inspection surveys are simply too time-consuming, too labor intensive, too inconsistent and therefore too erroneous.

For many real life problems there is no simple “one solution fixes all” Common farm problems such as pests and diseases are often the result of many wrong parameters happening at the same time. Prevention may mitigate some of the issues but definitely not all. Actively combating pests and diseases on the ground remains a critical activity…but even this can be automated to a certain extend.

Green A&E – a mango/lemon/coconut/banana/cocoa farm (Bigwa Farm – 80ha) owner in Tanzania – understands that the holy grail is a blend of carefully selected but affordable solutions made accessible to the common farmer in a way it gives the expected results.

  • Monitor crop health and identify diseases and deficiencies early.
  • Efficiently manage agri-inputs such as fertiliser and pesticides.
  • Monitor water usage, plan drainage and irrigation systems.
  • Perform automated plant counting, classification, and weed detection.

Our Conclusion

Modern farming requires information beyond what the human eye can see and human brain can process.

Furthermore, improving farm efficiency and better monitoring the environment are crucial for sustainable agriculture. Our strategies to achieve this are bundled as a Green A&E Total Concept Solution.

Our Solution

Sometimes, to see the bigger picture you need to look from far

Sometimes, to see the bigger picture you need to look from far

Satellite imagery and drone photography can monitor large-scale environmental changes, such as water levels, and biodiversity.

Geospatial data from satellites and drones (sensing) together with critical sensors and our boots on the ground plus a layer of Artificial Intelligence (AI) data processing can facilitate accurate and near real time (farm) monitoring . The same system maintains accurate statistics hence efficient and consistent administration of crop/tree health and yield quality compared to soil, water, nutrient, fertiliser and environmental data over time.

This innovation empowers farming customers to collect very precise data on crops, water and soil conditions even in remote areas lacking terrestrial and cellular networks. The technology aids in informed decision-making about irrigation, fertilisation and pest control, resulting in increased yields, reduced waste, and improved farm management.

Sensing, sensors, data processing and statistics are the basis for the concept of precision farming and this is exactly what Green A&E is offering its customers in Tanzania and beyond.

Healthy crop and crop affected by disease reflect sun light differently. By using spectral imaging it is now possible to detect very small changes in the physiology of the plant. Spectral imaging is the detection of light reflected by the crop with the use of specialised sensors. It is measured in spectral bands. The higher the number of bands the higher the accuracy, flexibility, and information content.

Hyperspectral cameras currently available have 40+ spectral bands, which allow us to make 40 measurements of spectrum versus the 5–7 bands supported by multispectral cameras.

Currently satellites and drone fitted cameras are using multispectral imaging technology. Multispectral technology can offer a good overview of crop such as overall growth and NDVI (Normalized Difference Vegetation Index), but fails to tackle more complex problems such as weeds, pests, diseases and PK deficiency.

Green A&E solutions can be the same as inspecting every tree or crop on-foot but only better, much faster, more consistent, more accurate, more efficient….cheaper!

Our total concept solution

Green A&E offers a Total Concept Solution, which is the combination of drone/satellite image processing and on the ground IoT solutions for overall farm, tree and on-tree fruit monitoring. 

This data helps farmers make informed decisions, optimise inputs (like water, fertilisers, and pesticides), and increase crop yields while minimising waste and losses.

The Green A&E Concept is flexible and expandable and basically every sensor can be included. Our solutions have (relatively) low economic investment and are not subject to geographical restriction nor on the availability of power and connectivity.

Moreover, the farm can be efficiently managed from everywhere or anywhere in the world.

Our total concept solution

Green A&E offers a Total Concept Solution, which is the combination of drone/satellite image processing and on the ground IoT solutions for overall farm, tree and on-tree fruit monitoring. 

This data helps farmers make informed decisions, optimise inputs (like water, fertilisers, and pesticides), and increase crop yields while minimising waste and losses.

The Green A&E Concept is flexible and expandable and basically every sensor can be included. Our solutions have (relatively) low economic investment and are not subject to geographical restriction nor on the availability of power and connectivity.

Moreover, the farm can be efficiently managed from everywhere or anywhere in the world.

The Green A&E Total Concept Solution is all about affordable, reliable and consistent data collection, safe data storage and on-going data processing.

Green A&E Digital Farming: sensing, sensors and analytics.

Use of GPS and GIS Technology: Incorporating GPS (Global Positioning System) and GIS (Geographic Information Systems) allows farmers to map their fields and optimise planting, fertilisation, and irrigation based on precise locations.

Use of Smart Sensors (IoT): Smart sensors are indispensable devices that collect (real time) data related to environmental and crop conditions. Critical information that can not be collected by drone or satellite.

Predictive Analytics: By analysing historical and real-time data, AI systems can predict crop yields, disease outbreaks, and pest infestations, enabling proactive management.

Decision Support Systems (DSS): These systems integrate data from various sources to guide farmers on the best practices for planting, fertilising, and harvesting.

The Green A&E Total Concept Solution Implemented in 5 steps

Step 1: Contact Green A&E
Together we analyse your situation, discuss your goals and objectives, draft a mission plan that fits the budget and meet the expectations
Contact Us
Step 2: Remote Data Collection
Satellite and drone imaging - Field sensors
More About This
Step 3: Remote Data Transfer
Remote data network and edge computing - Cloud access
More About This
Step 4: Remote Data Processing
AI driven IoT Platform in the cloud
More Background
Step 5: Processed Data Implementation Locally
Reporting (interactive dashboard) - Action on the ground (alarms, remote actuators)
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Page last modifed: Oct 15, 2024 @ 6:02 am