![Literature survey
Kasim M.Al-Aubidy et al. [3] demonstrated the construction of a rule-based fuzzy
controller for managing each greenhouse's microclimate. The projected system enable
the farmer to monitor both the inside and external surroundings of the greenhouse.
Yunseop (James) Kim et al. [4] suggested using a wireless connection to a base
station computer to electronically manage an irrigation machine equipped with a
programmable logic controller that receives geo-referenced position updates from a
precision GPS.
Jzau-Sheng Lin et al. [5] proposed a field signal monitoring system in precision
agriculture that uses a WSN network that combines a SOC platform with Zigbee
wireless network technology.
Adnan Shaout et al. [6] proposed a low-power consumption and cost, robust data
gathering system capable of creating and collecting data autonomously in remote or
isolated locations. The soil moisture , temperature, air temperature and humidity, are
measured by the sensor module.](https://image.slidesharecdn.com/5366-230426040458-f223e0ea/85/5366-ppt-5-320.jpg)
![Implementation
The design and implementation of this project is done
through pH.
pH sensor [10] is placed in water pond.By calculate the
pH we need a driver to detect the voltage[11], pH e.t.c.,
Whenever any emergency is detected. it is displayed
on the OLED display and sms is sent to authorities
using IOT platform[12].
The irrigation system communicates with each other
via short messages by events present in the IOT
platform.
ESP-01[13] is interfaced with ARM Processor with the
help of USART[14] . The ESP-01 RX is directly
connected to TX of ARM Processor with controller port
pin.
The ESP-01 has a micro chip antenna that emits
signals; the antenna responds by sending back its
data. ESP-01 communicates with TX and Rx[15]
Figure .2 Block diagram proposed design](https://image.slidesharecdn.com/5366-230426040458-f223e0ea/85/5366-ppt-7-320.jpg)
5366.ppt
- 1. Azolla Crop GrowingThrough IOT by Using ARM CORTEX-M0 Paper ID:5366 Presented by S.Tharani Sriya S.Bala Ratnam D.Ajaykumar 3nd International Conference on Artificial Intelligence and Signal Processing (AISP 2023) 18-20 March 2023 VIT -AP University
- 2. CONTENTS I.ABSTRACT II. INTRODUCTION III. LITERATURE SURVEY III. METHODOLOGY IV. IMPLEMENTATION V. RESULTS & DISCUSSION VI. CONCLUSION VII. BIBLIOGRAPHY
- 3. Abstract Now-a-days agriculture plays a major role in Indian economy. Farmers are the backbone of agriculture field.As of you know there azolla plants are grown up along with the crops. By the way it takes nitrogen and some other nutrients from the crop and these reasons the yield will decreases. All of those reasons we should decide to cultivate the “Azolla” plant. By cultivating the azolla plants we have to maintain the temperature and pH level of water. Basically azolla gives 30% nitrogen to the crop and it will kills the azolla plants. Feeding this azolla to the buffaloes it increases the quality of the milk and increases the production of the milk. By collecting the readings we can use the microcontroller, pH sensor and Wi-Fi mojdule and then we can send the data through the website by using the Wi-Fi module
- 4. Introduction In agriculture areas farmers are used pesticides and different types of chemicals to increase the production and quality of the rice, by use of these chemicals and pesticides farmers have more investment in that particular chemicals, by end of this we have to implimente the cultivatation of azolla plants, it will grow within two days under certain temperature condition. Increase the quality of rice because it produces 30% of nitrogen. When we feed this to buffaloes the quality of milk increases. Using in aqua culture it will gives more proteins to the fishes. Then we calculate the pH and temperature readings and the it sends to the IOT platform by using ESP-01 and then it will have cloud storage also. By thus cloud storage we have to know what is the temperature and pH value at that particular time.
- 5. Literature survey Kasim M.Al-Aubidy et al. [3] demonstrated the construction of a rule-based fuzzy controller for managing each greenhouse's microclimate. The projected system enable the farmer to monitor both the inside and external surroundings of the greenhouse. Yunseop (James) Kim et al. [4] suggested using a wireless connection to a base station computer to electronically manage an irrigation machine equipped with a programmable logic controller that receives geo-referenced position updates from a precision GPS. Jzau-Sheng Lin et al. [5] proposed a field signal monitoring system in precision agriculture that uses a WSN network that combines a SOC platform with Zigbee wireless network technology. Adnan Shaout et al. [6] proposed a low-power consumption and cost, robust data gathering system capable of creating and collecting data autonomously in remote or isolated locations. The soil moisture , temperature, air temperature and humidity, are measured by the sensor module.
- 6. Methodology step 1: arrange the set up in poly-house for monitoring the parameters as a input. step 2: the data is collected and uploaded to the website. step 3: using an division/condition. if condition is false then check the results. step 4: if the condition is true predict the results and feedback to step 2. Figure.1 Over flow of system.
- 7. Implementation The design and implementation of this project is done through pH. pH sensor [10] is placed in water pond.By calculate the pH we need a driver to detect the voltage[11], pH e.t.c., Whenever any emergency is detected. it is displayed on the OLED display and sms is sent to authorities using IOT platform[12]. The irrigation system communicates with each other via short messages by events present in the IOT platform. ESP-01[13] is interfaced with ARM Processor with the help of USART[14] . The ESP-01 RX is directly connected to TX of ARM Processor with controller port pin. The ESP-01 has a micro chip antenna that emits signals; the antenna responds by sending back its data. ESP-01 communicates with TX and Rx[15] Figure .2 Block diagram proposed design
- 8. Results & Discussion The ideal state at switched OFF and ON are shown in Figure 3. pH sensor and temperature sensor plays major role in this project . By maintaining pH value in the range of 4.5- 10 the plant is in living condition and in the range of 4.5-7 the plant growth increases. Two sensors and ARM processors from each node have interfaced with other nodes. Figure 4 is shows no suspecting condition detected in monitor Figure3. Idle state of the system when about to be switched on Figure.4. no suspicion is detected
- 9. Results & Discussion Data is uploaded in to ubi dot website through interfacing device is shown in Figure 5. PH Readings gathering from serial monitor is shown in Figure 6. Sending SMS through ubidot website is shown in Figure 7. Whenever pH value above 10 the water motor in the basic solution tank it will pumps water to the plant. That the same thing happens below 4.5 water motor in the acidic solution will turned on and pumps the water to the plants at that time we turned on the stirrer then mixed the water coming from motor and water contained in the tank. Figure5. Upload values to ubidotswebsite Figure.6. PH Readings gathering from serial monitor Figure 7. Setting sms sending from ubidots website
- 10. Conclusion The Aazolla cultivation system is designed with simple electronics. Two sensors, the temperature and pH of the water in the circuit, are effectively employed to provide calibrated data to the system. Two sensors and ARM processors from each node have successfully interfaced with other nodes. All analyses and actual assessments demonstrate that the recommended system is a comprehensive solution to growing activities and water generation issues. Using such a technology in automated farming could significantly reduce molka plants and increase milk production
- 11. Biblography K. M al-Aubidy; M. M Ali et.al: Real-Time Monitoring and Intelligent Control for Greenhouse Based on Wireless Sensor Network, IEEE 2014. Y. Kim, R.G. Evans, and W.M. Iversen (2008, July). Remote Sensing and Control of an Irrigation System Using a Distributed Wireless Sensor Network. IEEE Trans. Instrumentation and Measurement. L.Jzau-Sheng, L. Chun-Zu. (2008, November). A monitoring system based on wireless sensor network and a SoC platform in precision agriculture. IEEE Conference on Communication Technology. November 2008, pp.l 0 1-1 04, Hangzhou, China. Y. Jiber, H. Harroud, and A. Karmouch. (2011, July). Precision agriculture monitoring framework based on WSN. Wireless Communications and Mobile Computing Conference (IWCMC), July 2011 7th International, pp. 2015-2020, Istanbul,Turkey A. Shaouti, K. Juzswik; K. Guyen, H.Peurasaari,S. Awad: An Embedded System For Agricultural Monitoring Of Remote Areas, IEEE 2015, pp.58- 67. Imtinungla1 , Samar Jyoti Saikia2 , Hemashree Bordoloi3: Agricultural Field Monitoring System using ATMEGA16 and GSM, IJRAT 2018, Vol. 6,No.5
- 12. THANK YOU