Description:The invention is illustrated with the help of the accompanying drawings, Fig. 1 and Fig. 2.
With reference to Fig. 1, the present invention demonstrates an automated vertical farming system that
integrates smart environmental control mechanisms and cloud-based data management.
1. Wireless environmental sensors continuously monitor parameters such as temperature, humidity,
CO2 levels, and soil moisture in real-time within the farming environment.
2. A smart hydroponic system ensures efficient nutrient delivery and water management, enabling
optimized plant growth with minimal resource usage.
3. An edge computing device processes real-time data collected from the sensors, enabling rapid
decision-making and system adjustments without relying entirely on cloud connectivity.
4. The system includes components such as fans, air conditioners, and CO2 generators to maintain
optimal environmental conditions for plant growth. These devices are automatically adjusted based
on sensor data to achieve the desired settings.
5. All data collected from the sensors is transmitted to a cloud server for centralized monitoring, longterm analysis, and high-level decision-making. The cloud also enables remote access for users to
monitor and control the system.
This system ensures efficient and scalable vertical farming, leveraging automation and IoT technology to
optimize plant growth, reduce resource usage, and minimize human intervention.
According to another embodiment of the present invention, as shown in Fig. 2, the system demonstrates the
detailed process flow and operational architecture within a multi-stack vertical farming setup. The operation
is described as follows:
1. Each farming stack is equipped with sensors to monitor plant health and environmental conditions,
along with actuators to regulate light intensity, water supply, and nutrient delivery.
2. Real-time sensor inputs are processed locally by a fog node, which serves as an intermediary
between the sensors and the cloud. This local processing ensures rapid response to changes in
environmental conditions.
3. The fog node controls actuators responsible for regulating environmental parameters such as water
flow, light intensity, and nutrient supply. For example, water pumps and valves are adjusted based on
plant requirements.
4. The system incorporates a water recycling mechanism, where output water from the plants is filtered,
enriched with nutrients, and reused, ensuring sustainable water usage.
5. The processed data is transmitted to the cloud for high-level monitoring and control. The cloud
platform provides a user interface (UI) for remote access, allowing users to visualize data, adjust
settings, and monitor overall system performance.
6. The system supports multiple vertical stacks, each operating independently while sharing data with
the central cloud server. This modular and scalable design allows the system to be expanded as
needed.
This innovative vertical farming solution leverages IoT and automation to optimize agricultural practices,
providing a sustainable and efficient approach to food production in urban and resource-constrained
environments. , Claims:We claim:
1. A method for automated vertical farming, comprising:
a sensors for monitoring environmental parameters including temperature, humidity, light intensity,
and soil moisture;
an automated hydroponic system for delivering water and nutrients to plant roots;
a multi-layer farming structure optimized for space utilization in urban environments;
a control system integrated with IoT, enabling remote monitoring and adjustments through a cloudbased platform.
2. The sensors as claimed in claim 1, wherein the sensors provide real-time data on environmental and
plant health parameters, ensuring optimal conditions for crop growth and resource efficiency.
3. The hydroponic system as claimed in claim 1, wherein the system ensures precise delivery of water
and nutrients to plant roots, reducing water wastage and promoting efficient nutrient absorption.
4. The multi-layer farming structure as claimed in claim 1, wherein the vertical design maximizes
agricultural yield by utilizing vertical space, allowing for scalable food production in urban and spaceconstrained settings.
5. The IoT-enabled control system as claimed in claim 1, wherein the system processes data locally
through edge computing and synchronizes with a cloud-based platform, enabling real-time decisionmaking and long-term data analysis.
6. The water recycling mechanism as claimed in claims 1-5, wherein the system filters and reuses runoff
water, significantly reducing overall water consumption and enhancing sustainability.
7. The automated vertical farming system as claimed in claims 1-6, wherein the integration of sensors,
hydroponics, and IoT technology ensures efficient resource usage and optimal crop growth, providing
a sustainable solution for modern agriculture in urban environments.