Smart Greenhouse Solution

Increasing crop yield by creating ideal conditions for plant growth

Tropical or subtropical plants are the primary sources of most of the crops that we eat every day. This indicates that for them to grow properly, they need an environment of 25-35 °C and 70-100 % air humidity. But the reality is that many nations only experience such perfect weather for one or two weeks out of the year. Moreover, places where such conditions are available, are not accessible consistently. In most places, these difficulties make it difficult to have the best plant growth with ideal quality and quantity.

What if you could maintain ideal growth conditions and protect the health of your plants simply by enabling IoT in your greenhouse? Aqualink's Smart Greenhouse is an example of a solution that uses IoT, AI, and ML technologies to create an ideal greenhouse automation system.

Do you know?

According to a number of investigations, plants exposed to high temperatures show lower chlorophyll production, which in turn results in decreased photosynthesis.
In the summer, intense sunlight globally damages kiwifruit by 5.6% on average, and if the damage is not controlled, it can reach 45%.
For 24 to 36 hours, crops including rice, velvet beans, cotton, and peanuts are seriously harmed or even killed when exposed to chilling temperatures between 1°C and 5°C.

Aqualink’s Greenhouse Monitoring Features

Our Smart Greenhouse Monitoring Solution is made to help farmers cope with the problems associated with energy consumption and ensure a healthy crop development under ideal circumstances.

Remote control and monitoring system

Monitor all of a greenhouse's KPIs
Receive real-time updates at any time, anywhere, and respond quickly
For the most output, choose lighting that is focused on plants
Defend plants from erratic weather conditions
Monitor cost reductions and overall yield

Monitor and Control multiple greenhouses

Get a graph of the following in real time: temperature, wetness, humidity, luminosity, and energy usage
Compare plant production between a greenhouse and an outside area to determine your greenhouse's return on investment
Based on notifications, make wise decisions to increase total yield
Using a mobile device, turn on/off the fan, vents, light, or pumps
Learn everything there is to know about the ideal harvesting season

Crop evaluation

Utilize machine learning approaches to remain fully informed on plant necessities throughout the previous six months, such as soil nutrients, and to predict what they should be in the next months
You may provide the necessary energy and water for a plant in your greenhouse using machine learning algorithms
Depending on the data, you may alter your soil and choose when to harvest
Determine the projected earnings from one of your greenhouse's plants
Monitor plant productivity on a quarterly basis

Plant disease detection

Identify and control plant diseases before they become prevalent
Maintain soil health by monitoring nutrient levels, such as N, K, P, S, Zn, Fe, Mn.
Customized plant disease treatment recommendation
Calculate the amount of fertilizer needed precisely
No need for plant diagnostics experts

Monitoring of the indoor environment

Improve for the ideal growing environment to get good harvests all year long
Throughout the plant's life cycle, alter color output to regulate the way the plant grows
For consistent end-product quality, go down to light settings and change each color of the LED
Track the performance of the growing environment and raise crop yield
Adjust your plant's growth tactics for each stage of development