This document describes a proposed IOT-based smart poultry farm system that aims to automate feeding, temperature control, and gas reduction processes. The system would use sensors to monitor environmental parameters and control devices like a food feeder, water sprinkler, and soil mixer. It could allow farmers to remotely monitor and control operations through a mobile app. This would help reduce labor costs and human errors while improving animal welfare and production efficiency compared to manual farming methods. The proposed system architecture involves an Arduino board controlling devices based on input from sensors to automate key tasks like feeding chickens on schedule, maintaining optimal temperatures, and reducing gases through soil mixing.
IRJET - Smart Crop Protection System from Animals using PICIRJET Journal
This document describes a smart crop protection system from animals using a PIC microcontroller. The system uses a motion sensor to detect animals approaching a field. When motion is detected, the microcontroller sounds an alarm to scare away the animals and sends an SMS to the farmer. This ensures complete safety of crops from animals and protects the farmer from financial losses due to damaged crops. The system is designed to protect agricultural fields in an affordable way without harming animals or humans.
IOT has many applications in agriculture such as crop water management using soil moisture sensors, pest management using motion detecting PIR sensors, precision farming using sensors and drones, and livestock monitoring using sensors on wearables that track temperature, activity, and health indicators. IOT helps optimize resources like water, increase yields, and monitor livestock health remotely. However, challenges include infrastructure and connectivity issues, costs, and difficulties in implementation and data analysis for some farmers. Overall, IOT solutions have potential to increase agricultural sustainability and competitiveness.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
This document discusses an Internet of Things (IoT) based smart agriculture monitoring system. It begins with an introduction to IoT and why it is being implemented in the agriculture sector. It then discusses several applications of IoT in agriculture including crop water management using soil moisture sensors, pest management using passive infrared sensors, precision agriculture, and ensuring food production and safety. The document outlines the implemented method using sensors connected to an Arduino board and Raspberry Pi to monitor data and send alerts. It discusses the advantages of optimizing water use and increasing productivity but notes the potential disadvantage of high initial costs.
The document is a project report submitted by students Sonam Menda and Chechey for their Bachelor of Technology degree. It discusses the development of a smart farming system using IoT technologies. The system aims to address key issues in agriculture by monitoring soil moisture, temperature and other field data in real-time and using this to control irrigation and provide intelligent farm management. The report describes the system architecture, hardware and software components used, including sensors, Arduino, Raspberry Pi, algorithms and testing plans. It evaluates the benefits of the system as well as future applications of IoT in agriculture.
1. The document describes a smart refrigerator system that uses sensors and IoT technology to monitor food levels and conditions inside the refrigerator.
2. An ESP32 microcontroller is used as the central processing unit, connected to sensors like a load cell to detect food levels, temperature/humidity sensors, and a water level sensor.
3. The sensor data is sent to an Android app via WiFi to allow users to remotely monitor the refrigerator conditions and food levels, with features like automatic reordering when food gets low.
IOT can be used for smart farming applications by connecting devices to monitor and automate agricultural tasks. Soil moisture sensors, temperature sensors, and PIR motion sensors connected to an Arduino board can help farmers precisely manage crop watering, detect predators for pest management, and monitor field conditions. This allows for optimized water usage, high crop yields, and reduced damage compared to traditional farming methods. While the upfront costs may be high, IOT for agriculture can increase profits for farmers through greater productivity and efficiency.
This document describes a proposed IOT-based smart poultry farm system that aims to automate feeding, temperature control, and gas reduction processes. The system would use sensors to monitor environmental parameters and control devices like a food feeder, water sprinkler, and soil mixer. It could allow farmers to remotely monitor and control operations through a mobile app. This would help reduce labor costs and human errors while improving animal welfare and production efficiency compared to manual farming methods. The proposed system architecture involves an Arduino board controlling devices based on input from sensors to automate key tasks like feeding chickens on schedule, maintaining optimal temperatures, and reducing gases through soil mixing.
IRJET - Smart Crop Protection System from Animals using PICIRJET Journal
This document describes a smart crop protection system from animals using a PIC microcontroller. The system uses a motion sensor to detect animals approaching a field. When motion is detected, the microcontroller sounds an alarm to scare away the animals and sends an SMS to the farmer. This ensures complete safety of crops from animals and protects the farmer from financial losses due to damaged crops. The system is designed to protect agricultural fields in an affordable way without harming animals or humans.
IOT has many applications in agriculture such as crop water management using soil moisture sensors, pest management using motion detecting PIR sensors, precision farming using sensors and drones, and livestock monitoring using sensors on wearables that track temperature, activity, and health indicators. IOT helps optimize resources like water, increase yields, and monitor livestock health remotely. However, challenges include infrastructure and connectivity issues, costs, and difficulties in implementation and data analysis for some farmers. Overall, IOT solutions have potential to increase agricultural sustainability and competitiveness.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
This document discusses an Internet of Things (IoT) based smart agriculture monitoring system. It begins with an introduction to IoT and why it is being implemented in the agriculture sector. It then discusses several applications of IoT in agriculture including crop water management using soil moisture sensors, pest management using passive infrared sensors, precision agriculture, and ensuring food production and safety. The document outlines the implemented method using sensors connected to an Arduino board and Raspberry Pi to monitor data and send alerts. It discusses the advantages of optimizing water use and increasing productivity but notes the potential disadvantage of high initial costs.
The document is a project report submitted by students Sonam Menda and Chechey for their Bachelor of Technology degree. It discusses the development of a smart farming system using IoT technologies. The system aims to address key issues in agriculture by monitoring soil moisture, temperature and other field data in real-time and using this to control irrigation and provide intelligent farm management. The report describes the system architecture, hardware and software components used, including sensors, Arduino, Raspberry Pi, algorithms and testing plans. It evaluates the benefits of the system as well as future applications of IoT in agriculture.
1. The document describes a smart refrigerator system that uses sensors and IoT technology to monitor food levels and conditions inside the refrigerator.
2. An ESP32 microcontroller is used as the central processing unit, connected to sensors like a load cell to detect food levels, temperature/humidity sensors, and a water level sensor.
3. The sensor data is sent to an Android app via WiFi to allow users to remotely monitor the refrigerator conditions and food levels, with features like automatic reordering when food gets low.
IOT can be used for smart farming applications by connecting devices to monitor and automate agricultural tasks. Soil moisture sensors, temperature sensors, and PIR motion sensors connected to an Arduino board can help farmers precisely manage crop watering, detect predators for pest management, and monitor field conditions. This allows for optimized water usage, high crop yields, and reduced damage compared to traditional farming methods. While the upfront costs may be high, IOT for agriculture can increase profits for farmers through greater productivity and efficiency.
This document discusses how IoT can be applied to smart agriculture. It begins by defining IoT and explaining its applications, particularly in agriculture where it can help boost yields, monitor crops and livestock, and make farming more efficient. It then outlines several major IoT applications in agriculture like soil mapping, irrigation control, and precision fertilizer application. The document also discusses technologies used like sensors, automated equipment, and cloud computing. It ends by addressing current challenges in agriculture and future expectations around technologies like IoT, robots, and vertical farming.
This document describes a proposed sensor-based intelligent agriculture system. The system would use various sensors deployed around a farm to monitor soil moisture, temperature, humidity, pH and for intruders. The sensor data would be sent to a microcontroller and thresholds would trigger alerts by SMS to the farmer if issues are detected. The system is aimed at reducing human effort, accurately analyzing farm conditions, reducing costs and helping preserve soil fertility.
Internet of Things & Its application in Smart AgricultureMohammad Zakriya
As we know Agriculture plays vital role in the development of agricultural country. In India about 70% of population depends upon farming and one third of the nation’s capital comes from farming. Issues concerning agriculture have been always hindering the development of the country. The only solution to this problem is smart agriculture by modernizing the current traditional methods of agriculture. Hence the project aims at making agriculture smart using automation and IoT technologies.
This document describes an IoT-based agricultural system that monitors soil moisture levels and automates irrigation. The system uses soil moisture sensors to measure moisture levels and a microcontroller to control a submersible pump based on the sensor readings, irrigating only when moisture levels drop below a threshold. Farmers can monitor soil moisture levels and irrigation status remotely through a WiFi module and online dashboard. The system aims to optimize water usage for irrigation and maximize crop yields through precision agriculture techniques enabled by IoT technologies.
India, whose GDP depends on the agriculture is not a developed nation in terms of modernization in agriculture. The high cost of labor, uncertainty in the production of crops, lack of knowledge about new methods, continuing with the same orthodox and traditional means to go about agriculture, the inefficient use of proper irrigational facilities results in low productivity. Due to this uncertainty in the irrigation process the crops may also dry up. About 14.7% of India’s growth depends on the agricultural sector, so it’s a huge cause of concern.
With this project, the current problems related to farming are solved and practically implemented solutions are provided. Using IOT as well as GSM, a whole new concept of farming using networks is introduced reducing labor, updating farmer about the live conditions of farm on the mobile devices and presenting its graphical value using thing speak. It makes the process handy with the click a button reformation.
We evaluate the performance of our method in a simple temperature sensing application. In terms of reducing human efforts and ease of irrigation, our approach has been observed to outperform the existing conventional approach. We bring out the advantages and disadvantages followed by their applications. The paper concludes the work open for research.
IRJET- Smart Agriculture Solution using Lora and IoTIRJET Journal
This document summarizes a research paper on developing a smart agriculture solution using LoRa and IoT technologies. It describes using wireless sensor networks with LoRa communication to monitor environmental conditions like temperature, humidity, and soil moisture in agricultural fields. Sensors collect data that is sent to an ESP32 controller and then transmitted to a server for analysis using LoRa's long-range and low-power capabilities. The goal is to integrate IoT sensing and communication into a smart agriculture platform to improve agricultural management efficiency and support environmental monitoring. A k-means clustering algorithm is also used for data mining and real-time analysis of sensor data.
This document discusses how IoT technologies can be applied to smart farming. It describes how sensors, software, connectivity tools, and data analytics can be used to precisely monitor farm conditions and optimize production. Specifically, it explains how precision farming allows customized treatment on a micro-level using tools like sensors to measure soil conditions, humidity, etc. It also discusses applications of IoT in areas like greenhouse automation to control the environment, livestock monitoring to detect health issues early, and use of drones to assess crops and fields.
This document provides an introduction to IoT (Internet of Things) applications in Indian agriculture. It discusses how IoT can help address some key problems in Indian agriculture like low crop yields and inadequate irrigation. Some specific IoT applications mentioned are soil moisture monitoring, pest monitoring using motion sensors, and automated irrigation control. The document also provides block diagrams of typical IoT system architectures for smart agriculture and describes how sensors communicate with a central processor to monitor conditions and control irrigation and other systems. It concludes by discussing future potential IoT applications in agriculture like drone-based monitoring and fully automated cultivation and harvesting techniques.
Project Implementation
Real-Time Data Analysis of fabricated hardware & conclusions
Proposed Implementation using the concepts of IoT
Challenges faced in Smart Farming with perspective of India
Further Scope for Innovation from Electrical Engineer’s POV
This document describes an IoT project using an Arduino Uno, GSM shield, and relay to remotely control a water pump via mobile phone. The system allows farmers to turn a water pump on and off from anywhere using an AT command text message to the GSM shield. Key hardware includes the Arduino for control logic, GSM shield for cellular connectivity, and relay to switch the water pump power. The system aims to help farmers remotely operate water pumps for irrigation from off-site locations using a mobile phone.
Smart agriculture uses modern technologies like sensors, drones, robotics and IOT to increase crop yields and quality. It allows for smart irrigation, livestock monitoring, weather monitoring and remote soil monitoring. An automated greenhouse uses computer control of climate and environment to grow crops with 45% less inputs, 60% less labor, and 65% more efficiency. The technology could boost India's agricultural production and food security, though initial costs are high and many small farmers currently lack education to implement it.
This document describes a smart agro system project created by four students. The system uses a wireless sensor network and sensors to monitor soil properties like moisture, temperature, humidity, and pH levels. It provides farmers recommendations on fertilizer use and irrigation. The objectives are to create an effective, low-cost, user-friendly decision support system. It will help farmers reduce waste, increase yields, and improve their lives. The system hardware uses an Arduino platform and sensors. The software includes an Android app and database. Future work includes cloud storage and adding animal monitoring sensors. The conclusion is that the system will help farmers monitor fields and activities to boost production through efficient water and input use.
UbiBot’s specializes in providing access to your IoT data wherever and whenever you need. We offer products @ IoT big data platform as well as wireless smart sensors . We have WiFi and GPRS enabled sensors that meant for data monitoring and helpful in bringing high quality IoT gateways.
The Internet of things (IOT) is the network of physical devices vehicles home appliances and other items embedded with electronics, software, sensors ,actuators, and network connectivity which enable these objects to connect and exchange data.
Smart farming is a concept quickly catching on in the agricultural business. Offering high-precision crop control, useful data collection, and automated farming techniques, there are clearly many advantages a networked farm has to offer.
The document describes an IoT-based smart irrigation system that uses soil moisture and water level sensors to automatically control a submersible pump motor. The system includes an Arduino, Raspberry Pi, GSM shield, sensors, and relay switch. It works by sensing soil moisture and water levels, sending the data via the GSM shield to a mobile app, and using the Raspberry Pi to turn the motor on or off via the relay based on the sensor readings and user commands through the app. This allows remote monitoring and control of irrigation to optimize water management.
IoT based water saving technique for Green Farmingijtsrd
A decision Support System based on the combination of micro controllers and ADC and ANN Algorithm is proposed to support the irrigation management in agriculture. The farmers experience and the irrigation best practices are modeled through Artificial Intelligence and Neural Network Algorithm and the outputs of numerical soil and crop models are used to provide a context-aware and optimized irrigation schedule. The suggested actions are devoted to reduce the waste of water and to maximize the crop yield according to the weather conditions and the real water needs. The proposed methodology is embedded in the network gateway making the system a truly smart and autonomous wireless decision support system. Nurjaha Bagwan | Pradnya Kushire | Manasi Deshpande | Priyanka Singh | Prof. Shyam Gupta"IoT based water saving technique for Green Farming" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd14435.pdf http://www.ijtsrd.com/engineering/computer-engineering/14435/iot-based-water-saving-technique-for-green-farming/nurjaha-bagwan
This document discusses smart agriculture and Internet of Things (IoT) sensors. It describes how modern agriculture uses data from various sources to manage farm activities, while smart agriculture focuses on soil conditions, weather, and crops. Smart systems differentiate themselves by recording and analyzing data to provide actionable insights. The document then lists several factors that can be measured by IoT sensors, including soil temperature, moisture, weather conditions, and provides details on how soil moisture and rain drop sensors work to measure these variables.
This document discusses Internet of Things (IoT) applications in agriculture. It describes how IoT can help with crop water management through soil moisture sensors, pest management using motion sensors, and precision agriculture. Sensors monitor soil moisture and detect predator movement, sending alerts to farmers. This allows for optimized irrigation, reduced crop damage, water conservation, and increased productivity and profits for farmers.
Microsoft Azure-powered IoT & AI Solution To Help FarmerAndri Yadi
This deck is presented during my speaking in Microsoft's //DevCon / Digital Economy Summit, Jakarta, Feb 27, 2020, which was one of a kind event since it was attended by Mr. Satya Nadella (CEO of Microsoft) and Mr. Joko Widodo (President of Indonesia). I shared about how Azure can power SMARTernak - a livestock-farming assistance platform - to help farmers.
This document discusses Internet of Things (IoT) applications in agriculture. It begins by defining IoT and explaining its growing importance. It then discusses using IoT in agriculture to help farmers overcome challenges by remotely monitoring crops. Key applications mentioned include precision farming, agricultural drones, livestock monitoring, smart greenhouses, and crop management. The document also discusses agricultural sensors, sensor outputs, tools used, pros and cons of IoT in agriculture, and concludes that IoT can help increase yields, conserve water, reduce losses, and increase profits for farmers.
This document discusses how IoT can be applied to smart agriculture. It begins by defining IoT and explaining its applications, particularly in agriculture where it can help boost yields, monitor crops and livestock, and make farming more efficient. It then outlines several major IoT applications in agriculture like soil mapping, irrigation control, and precision fertilizer application. The document also discusses technologies used like sensors, automated equipment, and cloud computing. It ends by addressing current challenges in agriculture and future expectations around technologies like IoT, robots, and vertical farming.
This document describes a proposed sensor-based intelligent agriculture system. The system would use various sensors deployed around a farm to monitor soil moisture, temperature, humidity, pH and for intruders. The sensor data would be sent to a microcontroller and thresholds would trigger alerts by SMS to the farmer if issues are detected. The system is aimed at reducing human effort, accurately analyzing farm conditions, reducing costs and helping preserve soil fertility.
Internet of Things & Its application in Smart AgricultureMohammad Zakriya
As we know Agriculture plays vital role in the development of agricultural country. In India about 70% of population depends upon farming and one third of the nation’s capital comes from farming. Issues concerning agriculture have been always hindering the development of the country. The only solution to this problem is smart agriculture by modernizing the current traditional methods of agriculture. Hence the project aims at making agriculture smart using automation and IoT technologies.
This document describes an IoT-based agricultural system that monitors soil moisture levels and automates irrigation. The system uses soil moisture sensors to measure moisture levels and a microcontroller to control a submersible pump based on the sensor readings, irrigating only when moisture levels drop below a threshold. Farmers can monitor soil moisture levels and irrigation status remotely through a WiFi module and online dashboard. The system aims to optimize water usage for irrigation and maximize crop yields through precision agriculture techniques enabled by IoT technologies.
India, whose GDP depends on the agriculture is not a developed nation in terms of modernization in agriculture. The high cost of labor, uncertainty in the production of crops, lack of knowledge about new methods, continuing with the same orthodox and traditional means to go about agriculture, the inefficient use of proper irrigational facilities results in low productivity. Due to this uncertainty in the irrigation process the crops may also dry up. About 14.7% of India’s growth depends on the agricultural sector, so it’s a huge cause of concern.
With this project, the current problems related to farming are solved and practically implemented solutions are provided. Using IOT as well as GSM, a whole new concept of farming using networks is introduced reducing labor, updating farmer about the live conditions of farm on the mobile devices and presenting its graphical value using thing speak. It makes the process handy with the click a button reformation.
We evaluate the performance of our method in a simple temperature sensing application. In terms of reducing human efforts and ease of irrigation, our approach has been observed to outperform the existing conventional approach. We bring out the advantages and disadvantages followed by their applications. The paper concludes the work open for research.
IRJET- Smart Agriculture Solution using Lora and IoTIRJET Journal
This document summarizes a research paper on developing a smart agriculture solution using LoRa and IoT technologies. It describes using wireless sensor networks with LoRa communication to monitor environmental conditions like temperature, humidity, and soil moisture in agricultural fields. Sensors collect data that is sent to an ESP32 controller and then transmitted to a server for analysis using LoRa's long-range and low-power capabilities. The goal is to integrate IoT sensing and communication into a smart agriculture platform to improve agricultural management efficiency and support environmental monitoring. A k-means clustering algorithm is also used for data mining and real-time analysis of sensor data.
This document discusses how IoT technologies can be applied to smart farming. It describes how sensors, software, connectivity tools, and data analytics can be used to precisely monitor farm conditions and optimize production. Specifically, it explains how precision farming allows customized treatment on a micro-level using tools like sensors to measure soil conditions, humidity, etc. It also discusses applications of IoT in areas like greenhouse automation to control the environment, livestock monitoring to detect health issues early, and use of drones to assess crops and fields.
This document provides an introduction to IoT (Internet of Things) applications in Indian agriculture. It discusses how IoT can help address some key problems in Indian agriculture like low crop yields and inadequate irrigation. Some specific IoT applications mentioned are soil moisture monitoring, pest monitoring using motion sensors, and automated irrigation control. The document also provides block diagrams of typical IoT system architectures for smart agriculture and describes how sensors communicate with a central processor to monitor conditions and control irrigation and other systems. It concludes by discussing future potential IoT applications in agriculture like drone-based monitoring and fully automated cultivation and harvesting techniques.
Project Implementation
Real-Time Data Analysis of fabricated hardware & conclusions
Proposed Implementation using the concepts of IoT
Challenges faced in Smart Farming with perspective of India
Further Scope for Innovation from Electrical Engineer’s POV
This document describes an IoT project using an Arduino Uno, GSM shield, and relay to remotely control a water pump via mobile phone. The system allows farmers to turn a water pump on and off from anywhere using an AT command text message to the GSM shield. Key hardware includes the Arduino for control logic, GSM shield for cellular connectivity, and relay to switch the water pump power. The system aims to help farmers remotely operate water pumps for irrigation from off-site locations using a mobile phone.
Smart agriculture uses modern technologies like sensors, drones, robotics and IOT to increase crop yields and quality. It allows for smart irrigation, livestock monitoring, weather monitoring and remote soil monitoring. An automated greenhouse uses computer control of climate and environment to grow crops with 45% less inputs, 60% less labor, and 65% more efficiency. The technology could boost India's agricultural production and food security, though initial costs are high and many small farmers currently lack education to implement it.
This document describes a smart agro system project created by four students. The system uses a wireless sensor network and sensors to monitor soil properties like moisture, temperature, humidity, and pH levels. It provides farmers recommendations on fertilizer use and irrigation. The objectives are to create an effective, low-cost, user-friendly decision support system. It will help farmers reduce waste, increase yields, and improve their lives. The system hardware uses an Arduino platform and sensors. The software includes an Android app and database. Future work includes cloud storage and adding animal monitoring sensors. The conclusion is that the system will help farmers monitor fields and activities to boost production through efficient water and input use.
UbiBot’s specializes in providing access to your IoT data wherever and whenever you need. We offer products @ IoT big data platform as well as wireless smart sensors . We have WiFi and GPRS enabled sensors that meant for data monitoring and helpful in bringing high quality IoT gateways.
The Internet of things (IOT) is the network of physical devices vehicles home appliances and other items embedded with electronics, software, sensors ,actuators, and network connectivity which enable these objects to connect and exchange data.
Smart farming is a concept quickly catching on in the agricultural business. Offering high-precision crop control, useful data collection, and automated farming techniques, there are clearly many advantages a networked farm has to offer.
The document describes an IoT-based smart irrigation system that uses soil moisture and water level sensors to automatically control a submersible pump motor. The system includes an Arduino, Raspberry Pi, GSM shield, sensors, and relay switch. It works by sensing soil moisture and water levels, sending the data via the GSM shield to a mobile app, and using the Raspberry Pi to turn the motor on or off via the relay based on the sensor readings and user commands through the app. This allows remote monitoring and control of irrigation to optimize water management.
IoT based water saving technique for Green Farmingijtsrd
A decision Support System based on the combination of micro controllers and ADC and ANN Algorithm is proposed to support the irrigation management in agriculture. The farmers experience and the irrigation best practices are modeled through Artificial Intelligence and Neural Network Algorithm and the outputs of numerical soil and crop models are used to provide a context-aware and optimized irrigation schedule. The suggested actions are devoted to reduce the waste of water and to maximize the crop yield according to the weather conditions and the real water needs. The proposed methodology is embedded in the network gateway making the system a truly smart and autonomous wireless decision support system. Nurjaha Bagwan | Pradnya Kushire | Manasi Deshpande | Priyanka Singh | Prof. Shyam Gupta"IoT based water saving technique for Green Farming" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd14435.pdf http://www.ijtsrd.com/engineering/computer-engineering/14435/iot-based-water-saving-technique-for-green-farming/nurjaha-bagwan
This document discusses smart agriculture and Internet of Things (IoT) sensors. It describes how modern agriculture uses data from various sources to manage farm activities, while smart agriculture focuses on soil conditions, weather, and crops. Smart systems differentiate themselves by recording and analyzing data to provide actionable insights. The document then lists several factors that can be measured by IoT sensors, including soil temperature, moisture, weather conditions, and provides details on how soil moisture and rain drop sensors work to measure these variables.
This document discusses Internet of Things (IoT) applications in agriculture. It describes how IoT can help with crop water management through soil moisture sensors, pest management using motion sensors, and precision agriculture. Sensors monitor soil moisture and detect predator movement, sending alerts to farmers. This allows for optimized irrigation, reduced crop damage, water conservation, and increased productivity and profits for farmers.
Microsoft Azure-powered IoT & AI Solution To Help FarmerAndri Yadi
This deck is presented during my speaking in Microsoft's //DevCon / Digital Economy Summit, Jakarta, Feb 27, 2020, which was one of a kind event since it was attended by Mr. Satya Nadella (CEO of Microsoft) and Mr. Joko Widodo (President of Indonesia). I shared about how Azure can power SMARTernak - a livestock-farming assistance platform - to help farmers.
This document discusses Internet of Things (IoT) applications in agriculture. It begins by defining IoT and explaining its growing importance. It then discusses using IoT in agriculture to help farmers overcome challenges by remotely monitoring crops. Key applications mentioned include precision farming, agricultural drones, livestock monitoring, smart greenhouses, and crop management. The document also discusses agricultural sensors, sensor outputs, tools used, pros and cons of IoT in agriculture, and concludes that IoT can help increase yields, conserve water, reduce losses, and increase profits for farmers.
This document discusses Intelligent Wireless Networks, Inc. and their iNET and BRAIN technology for smart farming and precision agriculture. It states that iNET radios operate in 2.4GHz and 5.8GHz frequencies using WiFi protocol to collect data from farming operations in real time. This data is stored in BRAIN and the dashboard interface allows farmers to view their entire operations and receive notifications. It also discusses identified revenue sources for iNET subscriptions, the dashboard/marketplace, and big data sales. Testimonials from USDA and farmers praise the benefits of using technology to make farms more sustainable and efficient.
We can predict soil moisture level and motion of predators.
Irrigation system can be monitored .
Damage caused by predators is reduced.
Increased productivity.
Water conservation.
Profit to farmers.
Local farmers in Indonesia raise 98% of cattle but large ranchers determine beef prices. A new business called Bantuternak provides technology, feed, and sales solutions to help local farmers increase productivity. It uses an investment model where farmers pay 3% on cattle sales, 2% to lease technology, and 10% to purchase feed. The technology monitors cattle feeding efficiency using IoT. If this solution helps decrease meat imports by 5%, the potential market size is $147.5 million based on January to August 2016 import data. The founding team includes a CEO, CRO, and CTO.
The presentation is about an IoT solution for a Wildlife Tracking. Beneficiaries of this system are parks, reserves and animal owners (camels, goats and cattle). This system helps to track and monitor animals, studying their behavior and protect them against illegal activities.
Regards
Sumaiya Al Yarabi
IRJET- A Smart Farmland using Raspberry Pi Crop Prevention and Animal Intrusi...IRJET Journal
This document describes a smart farmland system that uses Raspberry Pi to detect animal intrusions and prevent crop damage. The system utilizes RFID tags injected into animals, along with an RFID reader and GSM modem. When an animal enters the farmland, the RFID reader detects its tag and sends an SMS alert to farmers and forest officers. It then uses noise from a speaker and smoke from a fog machine to irritate and repel the animal back to the forest without harming it. The system aims to provide an effective solution to the widespread problem of animals damaging crops in a more humane way compared to traditional electric fencing.
RFID technology create the first fully effective animal tracking program that meets the growing needs of the industry and far surpasses government goals for animal traceability.
Livestock farm Data Acquisition-Processing and management ..pdfHari Om Pandey
Livestock data acquisition essentially used in Smart Farming where a large amount of connected technologies produces a huge amount of data in order to maximize productions by reducing: human efforts, environment impact and wasting natural resources. It helps in improving livestock production, animals’ welfare, and farming processes, allowing to ease monitoring operations that can help farmers.
This document discusses the implementation of IoT in agriculture in China. It notes that currently, greenhouse planting relies on farmers' experience rather than data. IoT is seen as a promising technology to reduce costs and improve efficiency in agriculture. The document outlines China's progression from manual to smart agriculture enabled by IoT. It describes the structure of an IoT agriculture system including sensor, transmission, processing and application layers. Benefits of IoT include water and resource savings, improved yields and productivity, and remote monitoring and control. The key advantages are seen as real-time data access, surveillance, analysis and intelligent decision making for farmers, consultants, finance and government.
The document discusses the topic of the Internet of Things (IoT). It defines IoT as the connection of physical devices to the internet and other devices. These devices use sensors and connectivity to share data and be controlled remotely. The document predicts that by 2020 there will be 26 billion connected devices and outlines several ways businesses can benefit from IoT applications. It provides examples of current IoT applications in industries like agriculture, healthcare, and smart homes. The document also discusses some disadvantages of IoT and provides two case studies of companies using IoT solutions.
IRJET- Smart Green House using IOT and Cloud ComputingIRJET Journal
1. The document describes a smart greenhouse system that uses IoT and cloud computing to automatically monitor and control the greenhouse's environment.
2. Sensors measure soil moisture, temperature, humidity, and sunlight levels, and send the data to a Raspberry Pi controller.
3. If sensor readings exceed predefined thresholds, the Raspberry Pi activates devices like water sprayers, fans, and lights to regulate the environment and optimize plant growth.
Case Study: IoT industry applied to the production of Peruvian native potatoesWilmer Caról Azurza Neyra
This document discusses applying IoT technology to the potato farming industry in Peru. It notes that over 50% of Peru's potato crop is lost each year to pests and disease. An IoT solution could implement sensors and actuators to monitor temperature, humidity, and movement in potato fields in real time. This would allow automated and controlled opening of water valves, insecticide spraying, and other actions. The benefits would include increased production volumes and quality, higher prices through economies of scale, and increased revenue for farmers. The document outlines relevant technologies, business models, operational considerations, and policy topics for such an IoT implementation.
This document provides an overview of dairy farm management and automation. It discusses dairy farming, the need for it, and key facts and figures about global dairy production. It then covers automation in dairy farming, the need to automate various processes, and features of a typical dairy management system (DMS) including herd management. Finally, it presents a case study on herd management using Infovet's Herdman software, highlighting its validation and testing on commercial dairy farms.
IRJET- Iot Based Wireless Sensor Network for Earlier Detection and Prevention...IRJET Journal
This document proposes an IoT-based wireless sensor network system to detect wild animals approaching agricultural lands near forests and prevent crop damage. The system uses PIR motion sensors, sound sensors, and web cameras deployed along forest borders to detect animal movement. An Arduino board collects sensor data and sends it over Zigbee to a Raspberry Pi master node. The master node sends the data to a server which processes it and signals speakers to emit noises to deter animals. It also alerts nearby farmers and authorities by text message. The goal is to provide an early warning system for protecting crops and preventing conflicts between wild animals and humans.
AUTOMATIC PET FEEDER USING IOT_2019_8p.pdfHarum Rachmat
This document describes an automatic pet feeder system that uses IoT technology. The system uses a NodeMCU microcontroller connected to sensors, motors, and other hardware. It can be controlled via a mobile app to dispense food and water for pets on a schedule or when commanded. The system aims to help pet owners care for their pets remotely by ensuring they are fed regularly. It uses ultrasonic sensors to monitor water levels and only run the water pump when needed. Owners can control the feeder and check sensors readings through the mobile app and Blynk cloud platform.
IRJET- Efficient IoT based Smart Dustbin for Clean EnvironmentIRJET Journal
This document describes a proposed smart garbage bin system using IoT technology. The system uses ultrasonic sensors to measure garbage levels in bins, an AVR microcontroller to process sensor data and trigger alerts, and a GSM modem to notify authorities when bins reach a threshold level. The system aims to efficiently manage waste collection and avoid overflowing bins. Data from sensor nodes attached to each bin is sent to the cloud for analysis and monitoring of bin fill levels across the city. The smart bin system is expected to improve waste management by automating the collection process.
IRJET- Factors in Selection of Construction Project Management Software in IndiaIRJET Journal
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3. Few
Real World
Problems
“I have to visit hundreds
of cows every day, just to
check whether they still
move or not”
A caretaker in Cattle Breeding Centre,
Ministry of Agriculture - Indonesia Manages
1400 cows, 280ha
”
HERD COUNTING
“We often lose count when a herd of cow
moves from one to another grazing area”
PT. Astra Agro Lestari, Indonesia, manages 8000+ cows
FOOD SECURITY / TECH
“We have no reliable data to answer a
simple question, can we feed the nation?”
“The best technology we’ve deployed is
RFID-based ear tag”
Ministry of Agriculture, Indonesia
4. *“Ternak” in SMARTernak means “cattle” in Bahasa Indonesia
Internet of Things & Artificial Intelligence-based
Precision Livestock Farming (PLF) Solution
5
Introducing...
5. SMARTernak - 1,000m View
IoT Solution & Benefits
Benefit
IoT
Solutions
SMARTernak cuts the hassle out of cattle-farmer’s lives by using an IoT-
and AI-based system to solve every day cattle farming problems.
1. AI-ASSISTED ACTION RECOMMENDATIONS (SMARTernak learns cattle’s daily activities and
automatically recommends suggested actions so we can act before problems happen)
2. WIDE-AREA COVERAGE (Using the latest long range radio technology specifically built for IoT to
cater thousand of devices in a radius of up to 5 kilometers, SMARTernak is guaranteed to cover all
farms, no matter how big or small the scale)
3. DESIGNED TO BE COMPACT AND UNOBTRUSIVE (With only 79x79x19 mm, SMARTernak device is
designed to be convenient to wear, resilient, unnoticeable and will not interrupt your cattle’s
regular activities).
4. SMART ENERGY MANAGEMENT (The device use low power consumption and energy harvesting
to achieve long battery life. Energy harvesting technology keeps the micro energy from the solar
and cattle’s body heat to allow the device to operate without manually charging the battery. The
system intelligently manages its energy consumption and also features smart switching between
main and backup battery, based on system load, available harvested energy, and other factors)
5. WEB AND SMARTPHONE APP (Wherever and whenever you are, get an thorough feedback on
how you cattle is doing, all in real time)
6. ANTI-THEFT SYSTEM (Built-in anti-theft system makes SMARTernak safe from unauthorized
tampering. Get notified when your the device is stolen or when it is removed from your cattle
without permission)
7. SMARTernak - 1,000m View
IoT Technologies
Features Requirements Comments
Network Area • Wide
• Local
The Network Area for SmartTernak is
Local within cattle farm
Spectrum • Dedicated
• Shared
Spectrum for SmartTernak can works
on dedicated spectrum (NB IoT) or
Shared Spectrum (Lora/Sigfox),
depends on user requirement
Battery Life • Long
• Short
Battery life for SmartTernak must be
long life, designed for 10 years
Connectivity Cost • High
• Medium
• Low
Connectivity Cost for SmartTernak
must be low as the scale
Module Cost • High
• Medium
• Low
Module Cost for SmartTernak is low
and designed for long time usage
Bandwidth • High
• Medium
• Low
Bandwith for SmartTernak is low and
only send small messages
8. SMARTernak - 1,000m View
Operational Issue & Policy Topics
Operational
Issues
1. Cattle Farmer Education & Awareness, need time to transform from traditional to modern
2. LPWA Network is not yet massive & using 2G/3G/4G network is less suitable (medium/high cost)
1. Frequency for Unlicensed LPWA still on technical assessment, while
Licensed LPWA (NB IoT) not yet massive
1. Government affirmacy policy to mass deployment of SmartTernak
2. The incentive for local manufacturing
Policy
Topics
9. SMARTernak - 1,000m ViewSMARTernak: How It Works
BASE STATION
5 km coverage,1000+
devices.
TRACKER
Catte-wearable tracker
contains a bunch ofsensors
ENVIRONMENTAL
SENSORS
Collection of sensorsto
monitorenvironmental
IMAGING SENSOR
Monitor cattle’sbehaviour,
body heat,toestimate
body weightthroughimage
processing.
FARM MANAGER /
OWNER /INVESTOR
DRONE
Provide surveillance and
tohelp herding.
*In development*
http://smarternak.com byDycodeX
VIRTUALFENCE
Contain and move cattle
withoutphysical postsand
wires.
CLOUD
wheretheheavy-lifting
happens.
CARETAKER
Onefarmer/caretaker
can easily covera
vast grazing areaand
hundreds ofcattle.
10. Dual IoTConnectivity
Short Range, Mesh-supported: 1km WiFi,
Bluetooth v4.2,BLE
Long Range: LoRa/LoRaWAN orNB-IoT
Packed with Sensors
GPS / GNSS
Accelerometer, Gyroscope
Body Temperature
Ambient Temperature &Humidity
Barometric Pressure
Ambient Light
MEMS Microphone
Detached Detector
Smart Energy
Battery Gauge
Solar & Body Heat Energy Harvesting
Smart Switching Between
Main & BackupBattery
Fast Charging from USBType-C
Cattle-wearable Device
Powerhouse
Low Power, Dual CoreMicrocontroller
Actuators
Audio Alert/Speaker
Color LED
14. Field Trial #3 May 12,2018 - Subang, West Java,Indonesia
Wemanage1400 cows with100 staffs.Now we can
bread and add more cows,without addingmore
staffs.It’snot easy to recruit civil servants
Dr. Harry Suhada
Animal Breeding and Genetics Civil Servant at
Ministry of Agriculture, Indonesia
”
Customers are satisfied
Wecan reduce the potential death of non- eating
cows byalmost 100%, bythe alerts fromthe app.
Now,Ican sleep well.
Rahmat
Owner of RJ Farm, Subang, Indonesia
”
Pilot Project # 4 Ministry of Agriculture Breeding Facility, West Sumatera
Pilot Project #3 May 12,2018 - Subang, West Java, Indonesia
15. SMARTernak - 1,000m View
Business Model
Business Models Revenue of
the IoT Company
Device Ownership
Revenue Sharing Recurring IoT Company
Cost-saving Sharing Recurring IoT Company
Product Sharing Usage IoT Company
Product as-a-Service Recurring IoT Company
Performance-as-a-Product Usage User
Transactional Upfront User
Recommendation
16. Monetisation
SubscriptionDevice Sales
SMARTernak
Tracking
Never lose track of your cattle.
$5.9
percow/month
$99
+ Base Station:$999
$99
or
SMARTernak
Health &Productivity
Monitor your cattle’s weel-being.
+ Rental
$10.9
percow/month
Includes everything
No upfrontcost*
OR
17. High Price Low Price
Specific Function
Feature-rich
SMARTernak: Competitive Landscape
($79.99/cow, $4.99 monthly)
($99/cow)
($99/cow, $5.9 monthly)
($380/cow, $173.5 yearly) ($160/cow)
18. Market Space
*Just from selling thedevices,not includingthecloud subscriptionrevenue
90%
10%
16 million cows!
Managed bygovernmentand
corporations: our targetmarket
10%
90%
tograb 10% of target market
(160,000) within just 3 years.
That’satleast USD16,000,000 value*
Personal/familyfarm