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IRJET- A Nobel Report on Smart Irrigation System using IoTIRJET Journal
This document presents a smart irrigation system using IoT (Internet of Things) technology. The system uses wireless sensor networks to monitor farm conditions like soil moisture, temperature, and humidity. Sensors embedded in a hardware pack collect this data and send it via IoT to an AGRO-TECH software application. Based on readings from the soil moisture sensor, the software can automatically activate sprinklers as needed to efficiently irrigate crops while conserving water. It also allows farmers to remotely monitor their farms from anywhere using a mobile app. The system aims to help farmers overcome challenges like water shortage and optimize farm management.
Weed Sensing SPAA Precision Agriculture Factsheet 2016
SPAA is a non-profit independent membership based group formed in 2002 to promote precision agriculture in Australia. www.spaa.com.au Twitter: SPAA_EO, SPAA_DO
Airborne imagery taken from platforms like satellites, aircraft, and drones can provide high resolution digital images of crops and ground. These images include full color, color infrared (CIR), and vegetation indices like NDVI and SVI. Service providers process the images and land managers can use the data to monitor crop growth, health issues, and make management decisions. Key considerations before investing include the intended uses of the data, required image resolution, area to be mapped, and costs which vary by platform.
Dr. N. Sai Bhaskar Reddy gave a lecture on sensors for agriculture and water management. He discussed how automation using sensors can help overcome challenges with manual data collection. Sensors can monitor canal networks, irrigation schedules, on-farm conditions and help with decision making. This allows for optimizing water use efficiency and management across agriculture and irrigation. Sensors discussed include pressure, staff gauges, bubblers, Doppler, ultrasonic and radar sensors to non-invasively measure water levels. Proper sensor selection and installation is important for reliable data collection and flow to decision support systems.
Precision agriculture in maize-based cropping systemsCIMMYT
Precision agriculture aims to ensure crops and soil receive exactly what they need through information technology. It can benefit the environment and farm profits by better using resources like nutrients, water, and pesticides in a spatially and temporally targeted way. Key technologies enabling precision agriculture include GPS, earth observation satellites, drones, proximal sensors, and ICT. These allow for remote sensing, variable rate application, and decision support. Precision agriculture adapted for smallholders in developing countries must address intra-farm variability and be implemented through affordable, appropriate technologies delivered via mobile apps or other ICT to optimize resource use at multiple scales.
Intelligent Agricultural System with Weather MonitoringIJSRD
The embedded technology is now in its prime and wealth of knowledge available is mind blowing. Embedded project has new opportunities for the peasants and benefits them in various aspects. The system has been proposed to monitor the Weather and Control the Humidity of Agricultural Land. This Project Main objective is to control the Water Pump Motor whenever Soil Moisture Decreases below average level using Microcontroller. This Project also Monitor the Rain Possibilities and environmental Temperature. And a detail of weather condition has send to authorized Mobile number. Index Terms Solar Panel, Sensors, Cell phone, Microcontroller, GSM modem.
IRJET- A Nobel Report on Smart Irrigation System using IoTIRJET Journal
This document presents a smart irrigation system using IoT (Internet of Things) technology. The system uses wireless sensor networks to monitor farm conditions like soil moisture, temperature, and humidity. Sensors embedded in a hardware pack collect this data and send it via IoT to an AGRO-TECH software application. Based on readings from the soil moisture sensor, the software can automatically activate sprinklers as needed to efficiently irrigate crops while conserving water. It also allows farmers to remotely monitor their farms from anywhere using a mobile app. The system aims to help farmers overcome challenges like water shortage and optimize farm management.
Weed Sensing SPAA Precision Agriculture Factsheet 2016
SPAA is a non-profit independent membership based group formed in 2002 to promote precision agriculture in Australia. www.spaa.com.au Twitter: SPAA_EO, SPAA_DO
Airborne imagery taken from platforms like satellites, aircraft, and drones can provide high resolution digital images of crops and ground. These images include full color, color infrared (CIR), and vegetation indices like NDVI and SVI. Service providers process the images and land managers can use the data to monitor crop growth, health issues, and make management decisions. Key considerations before investing include the intended uses of the data, required image resolution, area to be mapped, and costs which vary by platform.
Dr. N. Sai Bhaskar Reddy gave a lecture on sensors for agriculture and water management. He discussed how automation using sensors can help overcome challenges with manual data collection. Sensors can monitor canal networks, irrigation schedules, on-farm conditions and help with decision making. This allows for optimizing water use efficiency and management across agriculture and irrigation. Sensors discussed include pressure, staff gauges, bubblers, Doppler, ultrasonic and radar sensors to non-invasively measure water levels. Proper sensor selection and installation is important for reliable data collection and flow to decision support systems.
Precision agriculture in maize-based cropping systemsCIMMYT
Precision agriculture aims to ensure crops and soil receive exactly what they need through information technology. It can benefit the environment and farm profits by better using resources like nutrients, water, and pesticides in a spatially and temporally targeted way. Key technologies enabling precision agriculture include GPS, earth observation satellites, drones, proximal sensors, and ICT. These allow for remote sensing, variable rate application, and decision support. Precision agriculture adapted for smallholders in developing countries must address intra-farm variability and be implemented through affordable, appropriate technologies delivered via mobile apps or other ICT to optimize resource use at multiple scales.
Intelligent Agricultural System with Weather MonitoringIJSRD
The embedded technology is now in its prime and wealth of knowledge available is mind blowing. Embedded project has new opportunities for the peasants and benefits them in various aspects. The system has been proposed to monitor the Weather and Control the Humidity of Agricultural Land. This Project Main objective is to control the Water Pump Motor whenever Soil Moisture Decreases below average level using Microcontroller. This Project also Monitor the Rain Possibilities and environmental Temperature. And a detail of weather condition has send to authorized Mobile number. Index Terms Solar Panel, Sensors, Cell phone, Microcontroller, GSM modem.
This document summarizes sensors and monitoring systems developed for water management and agriculture in India. It describes:
1. Sensor monitoring projects in the Krishna and Cauvery river basins to measure water levels, temperature, humidity and flows.
2. Achievements including establishing sensor labs, networks, and developing sensors to monitor on-farm, canal and reservoir water levels.
3. The technical architecture of the Canal Network Flow Monitoring System using ultrasonic sensors to measure water levels and flows.
Application of GIS & Remote Sensing Technologies: Precision AgricultureTariq Javid
This document discusses the application of geographic information systems (GIS) and remote sensing technologies for precision agriculture. It explains that precision agriculture uses sensors and computer-based GIS tools to respond to intra-field variations observed through remote sensing. The document outlines how vegetation indices like NDVI and EVI generated from remote sensing data can be used to identify healthy and stressed crop growth and monitor changes over time. It argues that precision agriculture's careful utilization of natural resources through updated maps and timely treatments could improve crop quality and yields in Pakistan, lowering market prices and benefiting the economy.
This document summarizes Sara Beery's experience interning at John Deere and her introduction to technological advances in modern farming. It describes how sensors connected to John Deere's Field Connect system allow farmers to remotely monitor soil conditions, track yields, and make timely decisions. This data-driven approach improves crop quality and reduces costs by optimizing water and fertilizer use. Autonomous tractors and other automated technologies further increase yields while minimizing environmental impacts. Agricultural technology will be crucial to meet the world's growing food demands in a sustainable way.
IRJET- IoT based Cultivation using AurdinoIRJET Journal
This document describes an IoT-based smart farming system using Arduino that monitors soil conditions. The system uses sensors to measure temperature, humidity, pH levels, and detects movement. If sensor readings are abnormal, a GSM module sends alerts to the farmer's phone. This automation helps farmers more efficiently monitor crops and respond to issues in real-time, improving yields and reducing costs compared to traditional farming. The system is a cost-effective solution that saves farmers money in the long run through increased profits.
IRJET- Smart Agriculture System using Thingspeak and Mobile NotificationIRJET Journal
This document describes a smart agriculture system using IoT technologies like sensors, microcontrollers, and cloud platforms. The system aims to automate agricultural tasks and monitor field conditions in real-time to improve crop yields. Sensors would measure soil properties like moisture and send data to a microcontroller. The microcontroller analyzes the data and controls automated tasks like irrigation and pesticide spraying as needed. It also sends data to the cloud for remote monitoring on mobile devices. The system aims to address issues farmers face at different stages of cultivation through automation and real-time adaptive management based on sensor data.
IoT Based Smart Horticulture Monitoring Systemijtsrd
For smart horticulture system, one person take care of everything is some difficult due to his busy life style, but the healthy food and financially feasible life time is very important. Now a days the vegetables containing more chemical wastages that affect the human life time. The smart horticulture systems provide the each one to create the food healthy and ensure the quality of the vegetables to create home itself using this horticulture. The normal person can keep the horticulture running and the plants healthy in case the primary person becomes unavailable. The horticulture production needs less labour, less capital, has faster returns than normal production. And it cannot be easily influenced by the climate. Therefore the nurseries are wanted subsequent to next to vegetable under growers. It be extremely easier said than done en route for be alive inside incriminate of scattered horticulture lacking a isolated atmosphere monitor arrangement. In current technology, there appeared a canopy remote monitoring system based on Ethernet. In this system we make use of dissimilar module such since Global System Monitoring, 8051 next to the alike moment as organizer, be on fire detecting antenna, warmth detect feeler, dampness detect feeler, and exhibit the being there of gab resting on 16X2 LCD lying on the receiver surface. If any gas exceeds the value automatically send alert message has to be given to concerned person .whether prediction can be predicted by using machine learning technique so we aware of the whether condition due to climate changes. This project is created as a product and gives the healthy life and small scale level business. Shahin. K | Kanimozhi. R | Balachandar. A ""IoT Based Smart Horticulture Monitoring System"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23466.pdf
Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/23466/iot-based-smart-horticulture-monitoring-system/shahin-k
This document provides an overview of smart farming techniques, including the purpose of smart farms to automate and optimize agriculture. It describes various sensors used in smart farming to measure soil moisture, temperature, and other variables. It also outlines the components used in a smart farming prototype, including an Arduino board, moisture sensor, pump, LCD display, and relay module. Finally, it discusses recent technologies applied to smart farming, such as precision agriculture robots and wireless sensor networks.
This document discusses the use of agricultural drones and their various sensor technologies. It describes how visual, multispectral, thermal, LIDAR and hyperspectral sensors can be used for tasks like aerial mapping, plant health monitoring, livestock detection and precision agriculture. Examples are given of drone applications like chemical spraying, crop scouting and inventory management. The document also notes challenges for agricultural drones, such as limited battery life and the need for reliable data networks to download drone images and videos.
AWL aims to increase worldwide food production using smart irrigation technology and sensors to monitor crops, environment, and soil conditions in real-time. This data is analyzed to detect stress, optimize water usage, and provide automated irrigation instructions. Trials show AWL's approach increases growth rates by up to 66% while reducing water consumption by up to 33% compared to standard irrigation methods. By bringing internet-of-things to farming, AWL hopes to help feed the world's growing population more sustainably.
This document describes a solar-powered multi-tasking agricultural robot. The robot can perform grass cutting, fertilizer and pesticide spraying, and soil analysis functions. It is powered by solar energy from a 10W solar panel, using batteries to store the energy. An Arduino board controls four DC motors that power wheels for movement, a high-speed motor for grass cutting, and a motor that sprays contents from a fertilizer tank. Sensors measure soil temperature and moisture to determine appropriate fertilizer levels. The robot is operated via a Bluetooth mobile app for functions like forward/backward movement. It provides a cost-effective way to perform multiple agricultural tasks without external power sources.
IRJET- An Effective Automated Irrigation Control and Monitoring System us...IRJET Journal
This document describes a proposed automated irrigation control and monitoring system using Raspberry Pi. The system would use various sensors to measure soil moisture, temperature, humidity and detect pests or fires. If measurements are outside thresholds, the system could automatically adjust irrigation or send alerts. It would also use a webcam and edge detection to monitor crop growth and detect pests. Farmers could remotely monitor conditions and control irrigation using a mobile app via GSM connectivity. The goal is to help farmers more efficiently irrigate crops and respond quickly to issues.
IRJET- Smart Agriculture System based on IoTIRJET Journal
This document proposes a smart agriculture system based on IoT. The key features include:
1. A smart GPS-based remote controlled robot that can perform tasks like weeding, spraying, moisture detection, and pest/animal deterrence.
2. An intelligent irrigation system with smart control based on real-time soil moisture data.
3. A smart warehouse management system that monitors temperature, humidity, and detects theft.
Sensors, WiFi/ZigBee modules, cameras, and actuators connected to microcontrollers and Raspberry Pi will automate and control these systems remotely through a mobile or web application. The goal is to modernize agriculture using automation and IoT technologies.
Mobile robots can help with various agricultural tasks like pest detection, weed removal, fertilization and spraying. They are autonomous machines that can navigate uncontrolled outdoor environments using sensors and cameras. Computer vision algorithms and neural networks help the robots identify weeds and pests. Then their spray nozzles, vacuums or other tools allow precise targeted removal or treatment of the weeds and pests, helping farmers increase crop yields.
results of FieldFact project (EU FP6) concerning relevant EGNOS precision based applications for European agriculture. Three applications show how EGNOS and precision agriculture are critical instruments in transforming agriculture into a sustainable sector.
This document describes a project to develop an automatic inspection robot for agriculture using IoT. The robot would be capable of monitoring crops, inspecting soil moisture levels according to seed varieties, and informing farmers using sensors to check humidity levels. It discusses the need for agricultural automation and reviews previous related works involving wireless sensor networks. The proposed system would use an Arduino, sensors for temperature, humidity and soil moisture, a motor driver and RFID tags/reader. An Android app would allow remote control of the robot's movement. The goal is to help farmers easily monitor crop conditions and optimize water and fertilizer use.
This document discusses sensor based variable rate application (VRA) using the Greenseeker sensor. It provides information on calibration settings for on-the-go VRA fertilization using nitrogen response curves. Examples of decision support rules and potential savings from using VRA for haulm killing, phytophthora, and fertilizers are presented. Connecting sensor data to software solutions and farm management is also mentioned.
How are drones used for farming? The use of drones in agriculture is the future. Heavy lift drones capable of crop dusting and drones equipped with multispectral sensors will change the way in which farming is done.
IRJET-Development of Smart Irrigation SystemIRJET Journal
1. The document describes the development of a smart irrigation system that uses soil moisture sensors and a microcontroller to automate watering.
2. The system aims to improve water efficiency in agriculture by only turning on the water pump when the soil moisture falls below a set threshold.
3. Farmers can monitor the soil moisture levels and irrigation status remotely using a smartphone app that receives data from the system over WiFi.
This document describes a proposed system for monitoring soil conditions and controlling irrigation in agricultural fields using sensors and an ARM controller. The system would use various sensors to measure soil moisture, humidity, temperature, light intensity, and phosphorus levels. It would then use this sensor data to determine the appropriate amounts of water and fertilizer needed for optimal plant growth. Solenoid valves connected to a drip irrigation system would be controlled to supply water and fertilizer as needed. The goal is to increase crop yields by precisely meeting the nutrient and water requirements of plants throughout their growth cycles.
This document summarizes sensors and monitoring systems developed for water management and agriculture in India. It describes:
1. Sensor monitoring projects in the Krishna and Cauvery river basins to measure water levels, temperature, humidity and flows.
2. Achievements including establishing sensor labs, networks, and developing sensors to monitor on-farm, canal and reservoir water levels.
3. The technical architecture of the Canal Network Flow Monitoring System using ultrasonic sensors to measure water levels and flows.
Application of GIS & Remote Sensing Technologies: Precision AgricultureTariq Javid
This document discusses the application of geographic information systems (GIS) and remote sensing technologies for precision agriculture. It explains that precision agriculture uses sensors and computer-based GIS tools to respond to intra-field variations observed through remote sensing. The document outlines how vegetation indices like NDVI and EVI generated from remote sensing data can be used to identify healthy and stressed crop growth and monitor changes over time. It argues that precision agriculture's careful utilization of natural resources through updated maps and timely treatments could improve crop quality and yields in Pakistan, lowering market prices and benefiting the economy.
This document summarizes Sara Beery's experience interning at John Deere and her introduction to technological advances in modern farming. It describes how sensors connected to John Deere's Field Connect system allow farmers to remotely monitor soil conditions, track yields, and make timely decisions. This data-driven approach improves crop quality and reduces costs by optimizing water and fertilizer use. Autonomous tractors and other automated technologies further increase yields while minimizing environmental impacts. Agricultural technology will be crucial to meet the world's growing food demands in a sustainable way.
IRJET- IoT based Cultivation using AurdinoIRJET Journal
This document describes an IoT-based smart farming system using Arduino that monitors soil conditions. The system uses sensors to measure temperature, humidity, pH levels, and detects movement. If sensor readings are abnormal, a GSM module sends alerts to the farmer's phone. This automation helps farmers more efficiently monitor crops and respond to issues in real-time, improving yields and reducing costs compared to traditional farming. The system is a cost-effective solution that saves farmers money in the long run through increased profits.
IRJET- Smart Agriculture System using Thingspeak and Mobile NotificationIRJET Journal
This document describes a smart agriculture system using IoT technologies like sensors, microcontrollers, and cloud platforms. The system aims to automate agricultural tasks and monitor field conditions in real-time to improve crop yields. Sensors would measure soil properties like moisture and send data to a microcontroller. The microcontroller analyzes the data and controls automated tasks like irrigation and pesticide spraying as needed. It also sends data to the cloud for remote monitoring on mobile devices. The system aims to address issues farmers face at different stages of cultivation through automation and real-time adaptive management based on sensor data.
IoT Based Smart Horticulture Monitoring Systemijtsrd
For smart horticulture system, one person take care of everything is some difficult due to his busy life style, but the healthy food and financially feasible life time is very important. Now a days the vegetables containing more chemical wastages that affect the human life time. The smart horticulture systems provide the each one to create the food healthy and ensure the quality of the vegetables to create home itself using this horticulture. The normal person can keep the horticulture running and the plants healthy in case the primary person becomes unavailable. The horticulture production needs less labour, less capital, has faster returns than normal production. And it cannot be easily influenced by the climate. Therefore the nurseries are wanted subsequent to next to vegetable under growers. It be extremely easier said than done en route for be alive inside incriminate of scattered horticulture lacking a isolated atmosphere monitor arrangement. In current technology, there appeared a canopy remote monitoring system based on Ethernet. In this system we make use of dissimilar module such since Global System Monitoring, 8051 next to the alike moment as organizer, be on fire detecting antenna, warmth detect feeler, dampness detect feeler, and exhibit the being there of gab resting on 16X2 LCD lying on the receiver surface. If any gas exceeds the value automatically send alert message has to be given to concerned person .whether prediction can be predicted by using machine learning technique so we aware of the whether condition due to climate changes. This project is created as a product and gives the healthy life and small scale level business. Shahin. K | Kanimozhi. R | Balachandar. A ""IoT Based Smart Horticulture Monitoring System"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23466.pdf
Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/23466/iot-based-smart-horticulture-monitoring-system/shahin-k
This document provides an overview of smart farming techniques, including the purpose of smart farms to automate and optimize agriculture. It describes various sensors used in smart farming to measure soil moisture, temperature, and other variables. It also outlines the components used in a smart farming prototype, including an Arduino board, moisture sensor, pump, LCD display, and relay module. Finally, it discusses recent technologies applied to smart farming, such as precision agriculture robots and wireless sensor networks.
This document discusses the use of agricultural drones and their various sensor technologies. It describes how visual, multispectral, thermal, LIDAR and hyperspectral sensors can be used for tasks like aerial mapping, plant health monitoring, livestock detection and precision agriculture. Examples are given of drone applications like chemical spraying, crop scouting and inventory management. The document also notes challenges for agricultural drones, such as limited battery life and the need for reliable data networks to download drone images and videos.
AWL aims to increase worldwide food production using smart irrigation technology and sensors to monitor crops, environment, and soil conditions in real-time. This data is analyzed to detect stress, optimize water usage, and provide automated irrigation instructions. Trials show AWL's approach increases growth rates by up to 66% while reducing water consumption by up to 33% compared to standard irrigation methods. By bringing internet-of-things to farming, AWL hopes to help feed the world's growing population more sustainably.
This document describes a solar-powered multi-tasking agricultural robot. The robot can perform grass cutting, fertilizer and pesticide spraying, and soil analysis functions. It is powered by solar energy from a 10W solar panel, using batteries to store the energy. An Arduino board controls four DC motors that power wheels for movement, a high-speed motor for grass cutting, and a motor that sprays contents from a fertilizer tank. Sensors measure soil temperature and moisture to determine appropriate fertilizer levels. The robot is operated via a Bluetooth mobile app for functions like forward/backward movement. It provides a cost-effective way to perform multiple agricultural tasks without external power sources.
IRJET- An Effective Automated Irrigation Control and Monitoring System us...IRJET Journal
This document describes a proposed automated irrigation control and monitoring system using Raspberry Pi. The system would use various sensors to measure soil moisture, temperature, humidity and detect pests or fires. If measurements are outside thresholds, the system could automatically adjust irrigation or send alerts. It would also use a webcam and edge detection to monitor crop growth and detect pests. Farmers could remotely monitor conditions and control irrigation using a mobile app via GSM connectivity. The goal is to help farmers more efficiently irrigate crops and respond quickly to issues.
IRJET- Smart Agriculture System based on IoTIRJET Journal
This document proposes a smart agriculture system based on IoT. The key features include:
1. A smart GPS-based remote controlled robot that can perform tasks like weeding, spraying, moisture detection, and pest/animal deterrence.
2. An intelligent irrigation system with smart control based on real-time soil moisture data.
3. A smart warehouse management system that monitors temperature, humidity, and detects theft.
Sensors, WiFi/ZigBee modules, cameras, and actuators connected to microcontrollers and Raspberry Pi will automate and control these systems remotely through a mobile or web application. The goal is to modernize agriculture using automation and IoT technologies.
Mobile robots can help with various agricultural tasks like pest detection, weed removal, fertilization and spraying. They are autonomous machines that can navigate uncontrolled outdoor environments using sensors and cameras. Computer vision algorithms and neural networks help the robots identify weeds and pests. Then their spray nozzles, vacuums or other tools allow precise targeted removal or treatment of the weeds and pests, helping farmers increase crop yields.
results of FieldFact project (EU FP6) concerning relevant EGNOS precision based applications for European agriculture. Three applications show how EGNOS and precision agriculture are critical instruments in transforming agriculture into a sustainable sector.
This document describes a project to develop an automatic inspection robot for agriculture using IoT. The robot would be capable of monitoring crops, inspecting soil moisture levels according to seed varieties, and informing farmers using sensors to check humidity levels. It discusses the need for agricultural automation and reviews previous related works involving wireless sensor networks. The proposed system would use an Arduino, sensors for temperature, humidity and soil moisture, a motor driver and RFID tags/reader. An Android app would allow remote control of the robot's movement. The goal is to help farmers easily monitor crop conditions and optimize water and fertilizer use.
This document discusses sensor based variable rate application (VRA) using the Greenseeker sensor. It provides information on calibration settings for on-the-go VRA fertilization using nitrogen response curves. Examples of decision support rules and potential savings from using VRA for haulm killing, phytophthora, and fertilizers are presented. Connecting sensor data to software solutions and farm management is also mentioned.
How are drones used for farming? The use of drones in agriculture is the future. Heavy lift drones capable of crop dusting and drones equipped with multispectral sensors will change the way in which farming is done.
IRJET-Development of Smart Irrigation SystemIRJET Journal
1. The document describes the development of a smart irrigation system that uses soil moisture sensors and a microcontroller to automate watering.
2. The system aims to improve water efficiency in agriculture by only turning on the water pump when the soil moisture falls below a set threshold.
3. Farmers can monitor the soil moisture levels and irrigation status remotely using a smartphone app that receives data from the system over WiFi.
This document describes a proposed system for monitoring soil conditions and controlling irrigation in agricultural fields using sensors and an ARM controller. The system would use various sensors to measure soil moisture, humidity, temperature, light intensity, and phosphorus levels. It would then use this sensor data to determine the appropriate amounts of water and fertilizer needed for optimal plant growth. Solenoid valves connected to a drip irrigation system would be controlled to supply water and fertilizer as needed. The goal is to increase crop yields by precisely meeting the nutrient and water requirements of plants throughout their growth cycles.
This document discusses precision farming and its benefits. Precision farming uses tools like GPS, sensors, and GIS to precisely vary the application of inputs like water, fertilizer and pesticides based on site-specific needs. This improves yields and quality while reducing costs, waste, and environmental impact. Adopting precision farming techniques could help increase yields by 39-150% for crops like tomatoes, chillies, capsicum, brinjal and bhindi. Precision farming also improves farm incomes and makes agriculture more sustainable and environmentally friendly. Widespread adoption will require collaboration between farmers, scientists, engineers and industry to develop the necessary technologies and equipment.
IRJET- Agriculture Irrigation Water Demand Forecasting using Lora TechnologyIRJET Journal
1) The document proposes an automated irrigation system for agriculture that uses LoRa technology to forecast water demand and remotely control irrigation.
2) Sensors would measure soil moisture and temperature, and a controller would transmit this data using LoRa to a receiver. The receiver could then automatically operate pumps to irrigate based on the sensor readings.
3) This system aims to minimize labor, optimize water use, and allow farmers to remotely monitor and control irrigation from a distance, improving agricultural management.
The document describes a soil moisture sensor system using an Arduino board. It includes the components used - a soil moisture sensor, Arduino Uno, LCD display, batteries. It explains how the sensor works by measuring the electrical resistance of soil to determine moisture levels. The circuit diagram and code to interface the sensor with the Arduino and display readings on the LCD are provided. The system is useful for irrigation management, precision agriculture, research applications, and ecosystem monitoring by providing real-time soil moisture data.
IRJET- Water Irrigation System using ArduinoIRJET Journal
This document describes a water irrigation system that uses an Arduino microcontroller board. The system uses soil moisture and temperature sensors to detect the water quantity in agricultural fields. It then uses the Arduino microcontroller to control the irrigation process. The goal is to automate irrigation to reduce water usage and optimize water supply for crops. Key components discussed include the Arduino UNO microcontroller, soil moisture sensors, water level sensors, and a water pump.
Embedded Web Server for Agriculture SectorIRJET Journal
This document describes the development of an embedded web server for precision agriculture. The system uses various sensors connected to an Arduino microcontroller to monitor farm conditions like soil nutrients, moisture, pH and detect parasites. The Arduino sends sensor data to a web server via Ethernet. This allows farmers to remotely monitor the farm status and parameters from any device with internet access. A wireless IP camera also provides live video streaming of the farm. The system aims to improve crop yields, reduce costs and environmental impacts through automated precision agriculture based on real-time sensor data.
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.
The document discusses the use of Internet of Things (IoT) in agriculture. It begins by defining IoT and describing some common applications including environmental monitoring, industrial uses, agriculture, home automation and transportation. It then focuses specifically on how IoT allows remote monitoring of farm conditions in real-time through sensors that can measure soil moisture, chemical applications and livestock health. The document outlines five ways IoT can improve agriculture such as increased data collection, better production control, cost management, process automation and enhanced product quality. Finally, it discusses some advantages and disadvantages of using IoT in agriculture.
AN AMELIORATED METHODOLOGY FOR THE DESIGN AND IMPLEMENTATION OF SMART PLANT S...AM Publications,India
In India Agriculture is the main profession. Majority of the farmers are dependent on the traditional approach of farming where they have to stay in their lands either for supplying the water to the crops or to monitor the moisture level in the soil and also the growth of plants. There is a possibility of excess water at some part of the land and there is a deficiency of water on the other side. This is one of the major problems to the farmer where he has to continuously monitor the flow of water. In this paper, we are proposing an automated smart plant system which supply the required quantity of water to the land, measures the moisture content in the soil using moisture sensor, and also measures the temperature and humidity in that area using temperature and humidity sensor. The proposed system is developed using hardware devices such as Arduino uno, Sensors, Relay board, Ethernet shield etc. In this system we are using a mobile phone to control all the equipments and devices which are connected in the system and we also send signals to start and stop the device through the mobile phone only.
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.
Intelligent Agricultural System with Weather MonitoringIJSRD
The embedded technology is now in its prime and wealth of knowledge available is mind blowing. Embedded project has new opportunities for the peasants and benefits them in various aspects. The system has been proposed to monitor the Weather and Control the Humidity of Agricultural Land. This Project Main objective is to control the Water Pump Motor whenever Soil Moisture Decreases below average level using Microcontroller. This Project also Monitor the Rain Possibilities and environmental Temperature. And a detail of weather condition has send to authorized Mobile number. Index Terms Solar Panel, Sensors, Cell phone, Microcontroller, GSM modem.
This document discusses how IoT sensors can benefit agriculture. It provides examples of IoT devices like drones, grain monitors, and water level sensors that collect real-time crop data. This data allows farmers to make better decisions that optimize resources, improve product quality, and increase responsiveness to changes. While high costs and security pose challenges, trends show drones and sensors aiding tasks like field monitoring and precision agriculture. Overall, IoT is transforming farming by helping close yield gaps and reducing labor needs through remote monitoring and smart practices.
Smart irrigation systems have become increasingly popular in urban areas, where the need to conserve water resources is critical. These systems are designed to optimize water usage for landscaping and gardening, while also promoting sustainable and efficient irrigation practices.
Presentation on microwave remote sensingujjwal yadav
Agricultural irrigation accounts for 80% of fresh water usage. Microwave remote sensing can be used to estimate soil moisture levels based on differences in dielectric constants between dry and wet soils. Monitoring soil moisture at field scales through microwave remote sensing can help improve irrigation scheduling for precision agriculture and predict crop yields at larger scales. It allows for monitoring of vegetation distribution, health, and water needs for agricultural applications through clouds.
1) The document describes a smart irrigation system that automatically provides water to plants based on soil moisture and temperature sensor readings. Soil moisture and temperature sensors transmit data to a microcontroller, which controls a water pump and servo motor for efficient watering.
2) The system aims to save water by only providing water when needed, as determined by the sensor readings. It can help conserve water used for irrigation in agricultural fields, lawns, and gardens.
3) The system was tested on garden plants and proved effective at conserving water by only watering within the preset soil moisture and temperature ranges needed for the plants. The system ensures water is distributed evenly using a servo motor and can help reduce water wastage.
Precision agriculture is a farming management concept that uses technologies like GPS, sensors, satellites and drones to observe field variability and optimize the use of inputs like water, fertilizers and pesticides. This allows farmers to minimize costs, maximize yields, detect problems like pests and weeds precisely, and deal with different field conditions appropriately. Machine learning is also used to analyze data from sensors and images to provide automated recommendations and control devices like robots for efficient, precise farming. The goal is an optimized decision support system for farm management.
PlantScreen™ Modular Systems | QubitPhenomics.com.pdftachet
Qubit Systems develops modular plant phenotyping systems called PlantScreen for automated multidimensional analysis of plant growth and physiology. The PlantScreen Modular System uses a conveyor to move plants through different imaging stations for traits like color, chlorophyll fluorescence, hyperspectral analysis, and temperature. It also has controlled environment chambers and stations for watering, weighing, and nutrient delivery. Comprehensive software controls the system and stores/analyzes imaging and environmental data. Custom systems can be designed to fit specific research needs.
Microcontroller based adaptive irrigation system using wsn for variety crops ...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Similar to Auro Electronics India Pvt. Ltd, Ambala, Digital Panel Meter (20)
(https://www.weldingelectrodemachinery.com/) We are recognized amongst the eminent manufacturers, supplier, trader, importer and exporters of Industrial Process Equipment for extrusion purposes. These are in compliance with the industry standards and are known for their optimum performance, low maintenance & smooth operation. Catering to the requirements of various industries our range is offered in various technical specifications to our clients.
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(https://www.dynemechsystems.com/) Appreciated across the world for the purpose of exporting, importing, manufacturing, supplying, distributing, wholesaling, trading and retailing a wide range of optimum quality Anti Vibrations Pads, Dynemech Systems Private Limited started its operation in the year 2000 at New Delhi, India. The product range offered by us is inclusive of Insulation Plates, Wedge Mounts and Screw Support Mounts. Known for their rich attributes such as accurate dimension, sturdy construction, high functionality and longer serving life, the offered industrial machine tools are manufactured from high quality materials such as stainless steel.
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(https://www.3aexports.net/) 3A Exports Group was founded in the year 2010 by visionary founders for Exporting, Trading, and Distribution a wide range of the finest quality products with objective to create a place for us in the world as a leading source of all required products under one roof.
(https://www.bhavanimachines.com/)
About Company
Nature of Business
Exporter and Manufacturer
Year of Establishment
2009
Legal Status of Firm
Individual - Proprietor
Annual Turnover
Rs. 5 - 10 Crore
Import Export Code (IEC)
ARYPM*****
GST No.
24ARYPM8018M1ZZ
We are a renowned manufacturer and trader of a quality approved range of Cream Filling Machine, Chyawanprash Filling Machine, Jar Filling Machine, Pickle Filling Machine, Gel Filling Machine and much more.
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(https://www.3aexports.net/)3A Exports Group was founded in the year 2010 by visionary founders for Exporting, Trading, and Distribution a wide range of the finest quality products with objective to create a place for us in the world as a leading source of all required products under one roof.
(https://www.probproducts.co.in/) Pro B Products is a Bengaluru based company engaged in manufacturing a wide range of Coconut processing machines for domestic & export market. Our Technology Services focus on developing robust, secure and stable technology solutions for our Customers. By incorporating innovative solutions into seemingly deliverables, we can ensure at the start of the project that will safely deliver the product to completion.
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We are engaged in manufacturing and supplying Stationery Gifts & Premiums, which are fabricated using quality raw materials procured from the reliable vendors.
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The document provides information on Alidhra Weavetech's general product catalogue for 2023. It highlights their focus on performance, innovation, and value through re-engineered twisting and weaving machine solutions. The catalogue includes details on their various twisting, fancy yarn, winding, weaving, and preparatory machines. It emphasizes indigenous innovation through their dedicated R&D facility in order to provide best value solutions to customers.
Leveraging on our vast industrial experience, we have been offering a precision engineered range of industrial fastener and fittings to our clients. These industrial fastener, steel fastener are manufactured using quality material and are best known for sturdy construction, high efficiency and resistance towards corrosion. We offer our range in customized options as well as per the specifications of our clients.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Dive into the realm of operating systems (OS) with Pravash Chandra Das, a seasoned Digital Forensic Analyst, as your guide. 🚀 This comprehensive presentation illuminates the core concepts, types, and evolution of OS, essential for understanding modern computing landscapes.
Beginning with the foundational definition, Das clarifies the pivotal role of OS as system software orchestrating hardware resources, software applications, and user interactions. Through succinct descriptions, he delineates the diverse types of OS, from single-user, single-task environments like early MS-DOS iterations, to multi-user, multi-tasking systems exemplified by modern Linux distributions.
Crucial components like the kernel and shell are dissected, highlighting their indispensable functions in resource management and user interface interaction. Das elucidates how the kernel acts as the central nervous system, orchestrating process scheduling, memory allocation, and device management. Meanwhile, the shell serves as the gateway for user commands, bridging the gap between human input and machine execution. 💻
The narrative then shifts to a captivating exploration of prominent desktop OSs, Windows, macOS, and Linux. Windows, with its globally ubiquitous presence and user-friendly interface, emerges as a cornerstone in personal computing history. macOS, lauded for its sleek design and seamless integration with Apple's ecosystem, stands as a beacon of stability and creativity. Linux, an open-source marvel, offers unparalleled flexibility and security, revolutionizing the computing landscape. 🖥️
Moving to the realm of mobile devices, Das unravels the dominance of Android and iOS. Android's open-source ethos fosters a vibrant ecosystem of customization and innovation, while iOS boasts a seamless user experience and robust security infrastructure. Meanwhile, discontinued platforms like Symbian and Palm OS evoke nostalgia for their pioneering roles in the smartphone revolution.
The journey concludes with a reflection on the ever-evolving landscape of OS, underscored by the emergence of real-time operating systems (RTOS) and the persistent quest for innovation and efficiency. As technology continues to shape our world, understanding the foundations and evolution of operating systems remains paramount. Join Pravash Chandra Das on this illuminating journey through the heart of computing. 🌟
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
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5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...alexjohnson7307
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Tatiana Kojar
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...
Auro Electronics India Pvt. Ltd, Ambala, Digital Panel Meter
1. Spectrum Technologies – “To Measure Is To Know”
815.436.4440 • www.specmeters.com
Your Plant Health Measurement Resource
Weather Stations
Weather plays a key role in plant health. Spectrum offers a variety of WatchDog®
weather stations, mini-stations, micro-stations, and sprayer stations for
monitoring site-specific areas to determine and manage microclimates. Our
stations are customizable, allowing growers to monitor the inputs that are
essential to their operations. Numerous sensors are available to measure
key parameters such as soil moisture, light, air temperature, relative humidity,
rainfall, wind speed and direction, and to calculate evapotranspiration rates,
degree days, and other important metrics used to grow and manage healthy
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trends over time, generating reports, and at-a-glance monitoring to help growers
make informed decisions.
®
Wireless Communications
WatchDog weather stations can be located almost anywhere you
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wireless connection options to obtain the data whenever you need it.
From GPRS and CDMA cellular signals, to short-wave radio wireless
connections, to satellite communications for extremely remote areas,
Spectrum offers numerous telemetry options to wirelessly communicate
logged measurement data from remote locations direct to the web. All
connection options are compatible with SpecWare software.
Cellular Alerts
WatchDog Cellular Alert products provide growers
with peace of mind by alerting them via phone or text
message when specific input parameters / conditions
reach a given threshold. Four different models are
available – Frost Alert (temperature),
Hay Alert (humidity), Flood Irrigation
Alert (soil moisture), and Power Alert
(voltage) – allowing growers to get
more rest and to take action only
when critical limits are reached.
Light Meters
As the driving force for photosynthesis, light is
fundamentally important to plant health. Plant
growth and development are significantly influenced
by both the quantity and the quality of light. Light
energy is relevant to other factors, as well. The
evapotranspiration (ET) calculation for irrigation
scheduling uses solar radiation as a key variable.
Leaf wetness periods or high humidity, which affect
disease pressure, can be mitigated with sunny days versus
cloudy days. Spectrum offers a variety of light meters to
measure everything from instantaneous light intensity to the
volume of light delivered over the course of an entire day,
helping savy growers to produce quality plants.
®
®
Spectrum Technologies offers affordable weather and plant
measurement tools to help professionals use objective data
to make better decisions regarding plant and crop inputs.
Weather Monitoring
2. 815.436.4440 • www.specmeters.com
Soil Moisture Sensors
The WaterScout SM 100 is a capacitance-based soil moisture sensor that responds immediately to changes in soil
volumetric water content (VWC). When used with WatchDog weather stations or hand-held readers, sensors can be
placed at multiple depths to monitor water penetration and highlight when crops need to be watered. The WaterScout
SMEC 300 measures VWC, soil electrical conductivity (EC), and temperature, all via the same sensor, for situations
where soil salinity is an issue or where certain moisture and temperature conditions are conducive to the propagation
of soil-borne diseases. WaterScout sensors help facilitate responsible irrigation only when the crop needs it, saving
both money and water, and helping to retain valuable nutrients in the root zone so that they are available to the plant.
Irrigation Stations
WatchDog®
irrigation stations are an affordable way to monitor soil
moisture over time at specifically selected locations. The stations
come pre-configured with 2, 3, or 4 soil moisture sensors so growers
can track how irrigation and rain events impact moisture throughout the
root zone. Stations are available for both WaterScout®
and Watermark
soil moisture sensors for measuring volumetric water content or soil
moisture tension. Sensors can be placed just above and just below
the root zone to provide a comprehensive picture of when and for how
long water is available to the plant.
Soil Moisture Meters
Without consistent soil moisture levels, crops are susceptible to higher disease pressures,
compaction, reduced nutrient uptake and diminished photosynthetic behavior. A FieldScout®
TDR
meter is the perfect portable tool for taking real-time spot measurements of soil moisture in the field,
helping growers to manage water responsibly, reduce operating expenses, and increase yields. The
sensor rods are available in multiple depths for varying root zones.
Compaction Meters
Within the soil resides a plant’s reservoir of water, nutrients and
oxygen. Compacted soil has less pore space to store what the plant
needs. Soil compaction prevents moisture penetration, reduces
fertilizer and chemical uptake, and creates conditions for anaerobic
microbes to build up and hinder plant root growth. Spectrum soil
compaction meters help growers to make decisions regarding areas
of the field that require tillage, changes to the rotation of crops, and
planting of cover crops to break up the soil and let the roots grow.
®
SM 100
SMEC 300
Soil & Water
®
®
3. Spectrum Technologies – “To Measure Is To Know”
815.436.4440 • www.specmeters.com
pH and EC Meters
Both pH and EC levels can have a significant effect on plant growth
and quality. Soil and water pH is the single most important aspect in
determining nutrient availability to crops, and pH levels in spray tanks
determine the effectiveness of pesticides. The salinity (EC levels) of
the soil, irrigation water, or fertilizer solution is an important parameter
affecting the root zone environment of plants. Professional-grade meters
from Spectrum Technologies provide growers with valuable tools for
making corrective adjustments to facilitate a healthy balance and avoid
nutrient deficiencies and poor yield.
Chlorophyll Meters
Chlorophyll is the green pigment in plants that aids in photosynthesis. This process uses
sunlight to convert carbon dioxide and water into the building blocks of plants. Because
nitrogen is a part of the chlorophyll pigment, measuring the greenness of plants with a SPAD
meter or FieldScout®
GreenIndex+ smartphone app allows growers to indirectly measure
the amount of nitrogen in the plant and make decisions for more efficient
scheduling of fertilizer applications. By quantifying the health of crops,
corrective measurements based on early diagnosis of severe nitrogen
deficiencies can be taken to prevent significant yield reduction.
Nutrient Meters
All crops require proper nutrient levels to maintain top quality and achieve
maximum economic yield. Utilize Spectrum’s full line of nutrient meters to
measure NO3
-
, Na+
, K+
, and Ca2+
and monitor nutrient levels. Measurements
can be made quickly, accurately and easily with in-field handheld meters.
Immediately analyze nutrient solutions, soil or plant (sap) tissue and increase
profits with well-timed fertilizer applications that produce a higher quality crop.
Nutrient Management
4. Spectrum Technologies – “To Measure Is To Know”
815.436.4440 • www.specmeters.com
3600 Thayer Court
Aurora, Illinois 60504
Toll Free: (800) 248-8873 •Phone: (815) 436-4440
Fax: (815) 436-4460 •E-mail: info@specmeters.com R-10/13
Plant Disease Stations
Pests and diseases can reduce plant quality and yield,
and pesticides add significant input costs. Growers can
protect their plants by submitting environmental conditions
to disease and insect models. These models forecast
disease and insect pressure using field-tested and validated
algorithms. Spectrum offers two types of Plant Disease
Stations to monitor current and historical disease severity
indicators and provide real-time alerts for heightened
disease pressure. The disease alerts in Spectrum’s
SpecWare software can assist with pesticide application
timing, facilitate an integrated pest management program,
and improve overall plant health.
IPM Scopes/Cameras
Pests and diseases can cause growers a significant amount of pain and
jeopardize production and yield. IPM Scopes from Spectrum Technologies
provide an easy way to identify and capture digital images of pests to help
preserve high quality crops before they cause significant damage. High
power optics allow for easy viewing and identification of pests, aiding early
diagnosis of the onset of diseases and insect problems and optimizing
corrective action plans. Spectrum’s IPM tools allow for instant decision
making or easy follow-up with pest and disease specialists.
®
Plant Health