scholarly journals PH MONITORING FOR LIQUID FERTILIZER MANAGEMENT IN BLACK PEPPER FARMING

2021 ◽  
Vol 3 (6) ◽  
pp. 01-12
Author(s):  
Kedung Fletcher ◽  
Anding Nyuak ◽  
Phei Yee Tan
Keyword(s):  
Precision Agriculture ◽  
Ph Monitoring ◽  
Ph Sensor ◽  
Black Pepper ◽  
Database Management System ◽  
Raspberry Pi ◽  
Daily Routine ◽  
Technology Application ◽  
Relational Database Management ◽  
The Internet Of Things

There is lacking technology application in black pepper farming to automate daily routine activities in monitoring black pepper vines growth and nutrient need. With the revolution of Industry 4.0 (IR4.0), and tremendous improvement in the internet of things (IoT), the application of precision agriculture to pepper farming is a thing to consider for its benefit. This paper to explore the use of IoT to monitor fertilizer requirement for pepper vines using pH sensor. The pH sensor attached to Raspberry Pi 3 will be collecting the data and forwarding it to the cloud database for farmer reference and take decision based on data presented in form of a digital report from the database. The Python environment provides the space for coding in Raspberry Pi. SQL and PHP software is used to design the user interface and data management in the relational database management system. The information about pH provides a better understanding of how pH parameter affects the growth of pepper vines. The farmer will be able to access the information anywhere and anytime. Therefore, our proposed system will greatly help the pepper farmers in Sarawak in managing the usage of fertilizer as a way to minimize farm inputs, thus increase their profit.

scholarly journals RadioWave Attenuation Measurement System Based on RSSI for Precision Agriculture: Application to Tomato Greenhouses

Inventions ◽  
2021 ◽  
Vol 6 (4) ◽  
pp. 66
Author(s):  
Dora Cama-Pinto ◽  
Juan Antonio Holgado-Terriza ◽  
Miguel Damas-Hermoso ◽  
Francisco Gómez-Mula ◽  
Alejandro Cama-Pinto
Keyword(s):  
Precision Agriculture ◽  
Wave Attenuation ◽  
Signal Strength ◽  
Research Community ◽  
Raspberry Pi ◽  
Radio Waves ◽  
Received Signal Strength Indicator ◽  
Smart Farming ◽  
Free Band ◽  
The Internet Of Things

Precision agriculture and smart farming are concepts that are acquiring an important boom due to their relationship with the Internet of things (IoT), especially in the search for new mechanisms and procedures that allow for sustainable and efficient agriculture to meet future demand from an increasing population. Both concepts require the deployment of sensor networks that monitor agricultural variables for the integration of spatial and temporal agricultural data. This paper presents a system that has been developed to measure the attenuation of radio waves in the 2.4 GHz free band (ISM- Industrial, Scientific and Medical) when propagating inside a tomato greenhouse based on the received signal strength indicator (RSSI), and a procedure for using the system to measure RSSI at different distances and heights. The system is based on Zolertia Re-Mote nodes with the Contiki operating system and a Raspberry Pi to record the data obtained. The receiver node records the RSSI at different locations in the greenhouse with the transmitter node and at different heights. In addition, a study of the radio wave attenuation was measured in a tomato greenhouse, and we publish the corresponding obtained dataset in order to share with the research community.

Sistem Pemantau Kondisi Lingkungan Pertanian Tanaman Pangan dengan NodeMCU ESP8266 dan Raspberry Pi Berbasis IoT

2021 ◽  
Vol 5 (3) ◽  
pp. 496-503
Author(s):  
Agus Ambarwari ◽  
Dewi Kania Widyawati ◽  
Anung Wahyudi
Keyword(s):  
Environmental Conditions ◽  
Precision Agriculture ◽  
Agricultural Land ◽  
Sensor Data ◽  
Raspberry Pi ◽  
Moisture Sensor ◽  
The Public ◽  
Soil Moisture Sensor ◽  
Sensor Temperature ◽  
The Internet Of Things

The increasing need for food is not in line with the clearing of agricultural land for food crops. So that the effort to increase the productivity of agricultural products is by applying precision agriculture. However, in reality, precision agriculture is difficult to apply to conventional processes, where farmers come to the farm, collect data, then carry out maintenance. This method will make production results not optimal because maintenance is not done accurately. This study introduces a monitoring system for environmental conditions based on the Internet of Things (IoT) for agricultural land, where trials are carried out in a greenhouse. The system that has been developed consists of several sensors designed to collect information related to agricultural environmental conditions, including DHT22 sensor (temperature and humidity), DS18B20 sensor (soil temperature), soil moisture sensor (moisture content in the soil), and BH1750 sensor (light intensity). Based on the Message Queuing Telemetry Transport (MQTT) protocol, the data is sent to a gateway (Raspberry Pi) and a local server via a wireless network to be stored in a database. By using the Node-RED Dashboard, the received sensor data is then displayed on the browser every time the sensor sends data. In addition, the local server also publishes sensor data to the public MQTT broker so that sensor data can be accessed through the MQTT Dashboard application on a smartphone. The results of testing for 25 days of the system running obtained an average success of the system in storing data of 99.64%.

scholarly journals Sistem Monitoring Budidaya Ikan Lele Berbasis Internet Of Things Menggunakan Raspberry Pi

2018 ◽  
Vol 5 (6) ◽  
pp. 745 ◽  
Author(s):  
Erfan Rohadi ◽  
Dodik Widya Adhitama ◽  
Ekojono Ekojono ◽  
Rudy Ariyanto ◽  
Rosa Andrie Asmara ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Ph Sensor ◽  
Raspberry Pi ◽  
The Internet ◽  
Automation System ◽  
Mobile Web ◽  
And Control ◽  
Internet Of Things Technology ◽  
The Internet Of Things

<p><strong>Abstrak</strong><em><br /></em></p><p><em>Internet of Things</em> merupakan perkembangan teknologi berbasis internet masa kini yang memiliki konsep untuk memperluas manfaat yang benda yang tersambung dengan koneksi internet secara terus menerus. Sebagai contoh benda elektronik, salah satunya adalah Raspberry Pi. Teknologi ini memiliki kemampuan memberikan informasi secara otomatis dan <em>real time</em>. Salah satu pemanfaatan perkembangan teknologi ini di bidang perikanan adalah sistem pemantauan air kolam. Pada prakteknya, para pembudidaya ikan lele masih melakukan pemantauan tersebut secara konvensional yaitu dengan cara mendatangi kolam ikan. Hal ini berpengaruh terhadap efisiensi waktu dan keefektifan kerja pembudidayaan ikan.<strong></strong></p><p>Pada penelitian ini dikembangkan alat yang berfungsi untuk membantu memantau dan mengontrol kualitas air kolam ikan lele berbasis <em>Internet of Things</em>. Piranti yang diperlukan adalah sensor keasaman (pH), sensor suhu dan sebuah relay untuk mengatur aerator oksigen air. Data dari sensor-sensor tersebut direkam oleh Raspberry Pi untuk kemudian diolah menjadi informasi sesuai kebutuhan pengguna melalui perantara internet secara otomatis. Selanjutnya data-data tersebut dapat ditampilkan dengan berbagai macam platform, salah satunya dengan model <em>mobile web</em>.  <strong></strong></p><p>Hasil uji menunjukan bahwa pengembangan teknologi <em>Internet of Things</em>  pada sistem ini dapat membantu pembudidaya untuk melakukan pemantauan terhadap kualitas air secara otomatis. Sistem otomasi yang dikembangkan menjanjikan peningkatan keberhasilan dalam pembudidayaan ikan lele.</p><p> </p><p><em><strong>Abstract</strong></em></p><p><em>For recent years, the Internet of Things becomes the topic interest of improvement based on technologies that have the concept of extending the benefits of an object that is connected to an internet constantly. This technology has the ability to provide information automatically and real time. One of expansion in the field of fishery is the water ponds monitoring system. In the fact, the catfish farmers are still doing conventional monitoring by coming to the fish pond. This could affects the efficiency of time and effectiveness of fish cultivation work.</em></p><p><em>In this research, the systems that can monitor and control the quality of catfish water ponds based on the Internet of Things is proposed. The necessary tools are acidity sensor (pH), temperature sensor and a relay to adjust water oxygen aerator. The data sensors have been recorded by Raspberry Pi that processed into information according to user needs through internet automatically. Furthermore, these data have been displayed with a variety of platforms, one with a mobile web model.</em></p><p><em>The results shows that the system based on Internet of Things technology can monitor the water quality automatically. The automation system promises the productivity of catfish farming.</em></p>

IoT-based Precision Agriculture Platform: A Review

2021 ◽  
Vol 9 (9) ◽  
pp. 1419-1421
Author(s):  
Rutvik Solanki
Keyword(s):  
Internet Of Things ◽  
Precision Agriculture ◽  
Agricultural Sector ◽  
Disease Outbreaks ◽  
Iot Platforms ◽  
High Level ◽  
New Applications ◽  
And Control ◽  
Use Of Internet ◽  
The Internet Of Things

Abstract: Technological advancements such as the Internet of Things (IoT) and Artificial Intelligence (AI) are helping to boost the global agricultural sector as it is expected to grow by around seventy percent in the next two decades. There are sensor-based systems in place to keep track of the plants and the surrounding environment. This technology allows farmers to watch and control farm operations from afar, but it has a few limitations. For farmers, these technologies are prohibitively expensive and demand a high level of technological competence. Besides, Climate change has a significant impact on crops because increased temperatures and changes in precipitation patterns increase the likelihood of disease outbreaks, resulting in crop losses and potentially irreversible plant destruction. Because of recent advancements in IoT and Cloud Computing, new applications built on highly innovative and scalable service platforms are now being developed. The use of Internet of Things (IoT) solutions has enormous promise for improving the quality and safety of agricultural products. Precision farming's telemonitoring system relies heavily on Internet of Things (IoT) platforms; therefore, this article quickly reviews the most common IoT platforms used in precision agriculture, highlighting both their key benefits and drawbacks

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