In our basic needs of life, food and nutrition are the most important things besides water. Every year, there is a significant increase in population, currently the population of world in 2021 is 7.9 billion, a 1.03% increased since 2020 and it is predicted to be 9.7 billion by 2050. Food production
Development of Intelligently Controlled IoT Based Vertical Farm
In our basic needs of life, food and nutrition are the most important things besides water. Every year, there is a significant increase in population, currently the population of world in 2021 is 7.9 billion, a 1.03% increased since 2020 and it is predicted to be 9.7 billion by 2050. Food production depends on crop lands and water supply, which are in limitation due to the exponential rise in population throughout the world and especially in Asia, it has been increasingly challenging to meet the need of food for such large population in the coming years. However, the conventional methods of crop production result in degradation of soil health and thus cause soil erosion. Moreover, the use of fertilizers and pesticides adversely affect the quality of food. Keeping these issues in view, it is pertinent need that cities should produce food internally to fulfill the requirement of food for growing population along with other mentioned challenges as well. One of the highly appreciated and innovative methodology is indoor farming with controlled environment famously known as vertical farming.
The Vertical Farming has been recognized with many different definitions based on its size, amount of control, layout, building type, location and purpose of use. However, for simplicity the vertical farming can be defined as the multilayered production of plants to increase yield per surface area. Therefore, in this project, prototype of an intelligently controlled vertical farm (VF) will be developed. The plants that have been included for VF are given below:
The design approach is based on monitoring and providing controlled environment to the indoor plants i.e., water, temperature, light, humidity and pH level for their better growth. The project will be based on IoT framework and data will be continuously available on the dashboard for monitoring and analysis purpose. Moreover, remote access will be provided to control the system parameters through the developed GUI.
The objectives of the project can be classified into research and industrial objectives.
Research Objectives:
a) Development of an IoT based architecture for multilayer VF
b) Development of mechanical structure for VF
c) Automation of VF and its monitoring through cloud
d) Design of an interactive GUI for digitally illiterate people
Industrial Objectives:
a) Provide IoT based smart solution to agriculture industry for the production of higher amount of food per every square meter.
b) To revolutionize agriculture field with the industry 4.0 design principles.
c) To provide a sustainable, efficient and cost effective food production solution to the agriculture industry.
d) To provide a feasibility report of VF implementation that includes VF implementation methodology, selection of crops, advantages, disadvantages and also the limitations. This report will assist in VF development at a larger scale.
Intelligently controlled VF will be developed by using the following steps
The block diagram for the hardware implementation is shown in Fig. 1

Fig. 1 Block diagram of intelligently controlled VF
The block diagram consists of three sections i.e., vertical farm, local control and cloud control.
Vertical Farm: It is an architecture of multiple story shelves to grow various types of crops. A water pump will be used to provide required water from the water tank to the crops through pipes to maintain desired moisture and water will be recycled. Artificial light intensity will be provided through LEDs. To control the temperature of VF, low power fans are also installed. However, all of these actuators are automatically controlled based on the information acquired from sensors. The multilayered VF also consists of various sensors to measure VF parameters i.e., moisture, temperature, light, humidity, pH level and water level in tank.
Local Control: At this stage the parameters of VF are anonymously controlled according to the settings set by the user. And user can change the operational settings as per the crop need and for better growth of the crops. The system will resume according to the new settings and the logical decisions to turn on and off various actuators installed in VF are taken at the gateway. The gateway provides bidirectional communication between the sensors and the cloud.
Cloud Control: The parameters of VF received at gateway are real-time transmitted to the cloud through internet and all system information will be displayed on a web based graphical user interface/dashboard. In addition to monitoring, remote control access will also be implemented on GUI so that user can globally control the VF effectively. Moreover, the gathered real-time data will be used for data analytics to optimize the performance of VF in terms of efficiency and production.
The purpose of the project is to revolutionize the agriculture industry with industry 4.0 standards. The transformation of conventional farming to the vertical farming will provide numerous advantages and in long term it will tremendously improve the food quality standards and ensure food sustainability in the world. Various benefits of VF are given below:
The final deliverable of the project is a hardware-software integrated system. The technical details about the final deliverable are given below:
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| ESP 32 | Equipment | 4 | 950 | 3800 |
| Ultrasonic sensor | Equipment | 18 | 200 | 3600 |
| DHT11 | Equipment | 2 | 650 | 1300 |
| pH sensor | Equipment | 2 | 1000 | 2000 |
| TDS sensor | Equipment | 5 | 1000 | 5000 |
| Fluorescent Grow lights | Equipment | 6 | 950 | 5700 |
| Fan | Equipment | 5 | 500 | 2500 |
| PVC Pipes structure | Equipment | 1 | 20000 | 20000 |
| Seeds | Equipment | 10 | 50 | 500 |
| Nutrients mixure | Equipment | 8 | 500 | 4000 |
| DC water pump | Equipment | 2 | 400 | 800 |
| DC supply adapter | Equipment | 2 | 600 | 1200 |
| Raspberry pi | Equipment | 1 | 19600 | 19600 |
| Travel | Miscellaneous | 10 | 300 | 3000 |
| Thesis Printing | Miscellaneous | 8 | 550 | 4400 |
| Overheads | Miscellaneous | 1 | 2600 | 2600 |
| Total in (Rs) | 80000 |
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