#IoT in smart agriculture

[farmerstrend]

Why Kenya's Agritech Startups Struggle to Penetrate the Market Despite Strong Investment

Discover why Kenya’s agritech startups struggle with market penetration despite strong investment, and explore how regulatory challenges and fragmented services hinder growth in the sector. Kenya’s agritech industry faces hurdles beyond funding, including complex regulations and data security concerns. Learn how startups can overcome these challenges to scale and succeed. Uncover the key barriers…

[tritonmarketresearchamey]

Agriculture Technology as a Service Market Analysis for 2024-2032

The global market for agriculture technology as a service is expected to advance at a CAGR of 15.64% in revenue over the forecasting years 2024-2032. Read more

As per the Triton Market Research, the Global Agriculture Technology as a Service Market report is segmented by Type (Software As A Service {SAAS}, Equipment As A Service {EAAS}), Application (Yield mapping and monitoring, Crop health management, Soil management, Navigation and positioning, Other applications), Technology (Sensing technology, Guidance technology, Variable rate application technology, Data analytics & intelligence, Other technologies), and Regional Outlook (Asia-Pacific, North America, Europe, Middle East and Africa, and Latin America).  

The report highlights the Market Summary, Industry Outlook, Porter’s Five Forces Analysis, Market Attractiveness Index, Regulatory Framework, Key Market Strategies, Market Drivers, Challenges, Opportunities, Competitive Landscape, Research Methodology and scope, Global Market Size, Forecasts & Analysis (2024-2032).

According to Triton’s research report, the global market for agriculture technology as a service is expected to advance at a CAGR of 15.64% in revenue over the forecasting years 2024-2032.

The agriculture technology as a service (ATaaS) market encompasses a range of services provided to farmers and agribusinesses through advanced technological solutions. Instead of purchasing expensive hardware and software, farmers can now access these technologies through subscription models or pay-per-use services.

Several factors contribute to the robust growth of the reviewed market, which includes growing awareness and adoption of precision agriculture techniques, advancements in IoT, AI, and machine learning, and an increasing global demand for food due to a rising population. These factors necessitate more efficient and sustainable farming practices to maximize yield with accessible and affordable farming tools.

Despite the promising growth, one of the primary challenges faced by the service providers is the high initial cost of implementing advanced technologies, which can be a barrier for small-scale farmers. As farms become increasingly data-driven, data privacy and security concerns also restrict market growth.

The Asia-Pacific agriculture technology as a service market is expected to witness the fastest growth during the forecast period. Population growth in nations like China and India, along with increased demand for organic food, drives agricultural production. As these countries aim their food and agricultural value chains, a significant rise in smart agriculture services is gaining traction. Efforts taken by the stakeholders to develop farm management software, particularly for vertical farming, lead the market progress in this region.

The key companies in the agriculture technology as a service market include Trimble Inc, Microsoft Corporation, IBM Corporation, CLAAS KGaA mbH, Topcon Corporation, Hexagon AB, Deere and Company, Raven Industries Inc, Fujitsu, and Agco Corporation. 

Notably, developing tailored solutions that address the specific needs of different types of crops presents numerous opportunities for growth and innovation in the ATaaS market.

[kheti-buddy]

Climate Modelling Tools Vs Field-Based Weather Monitoring

Explore how advanced simulations predict long-term climate patterns, while on-the-ground instruments provide real-time data. Understand the benefits and limitations of both methods in forecasting and studying weather phenomena. Enhance your knowledge with this comprehensive comparison. Visit our website: https://khetibuddy.com/

[techtoio]

How IoT Devices Are Making Life Easier

Introduction

In our fast-moving world, technology is changing quickly, and the Internet of Things (IoT) is leading the way. IoT devices are making everyday tasks simpler and more efficient. Let’s explore how these smart devices are making our lives easier. Read to Continue

[entrepreneurbar]

A profound transformation is silently unfolding within the expansive realm of agricultural practice, where terrestrial and celestial realms converge to orchestrate life cycles. This metamorphosis is propelled by the convergence of technological advancements and traditional methodologies, with the Internet of Things (IoT) emerging as a potent catalyst reshaping longstanding agricultural paradigms. This paper elucidates the burgeoning landscape of IoT integration within agriculture, delineating its multifaceted implications for enhancing operational efficiency, ecological sustainability, and productivity within this critical sector.

Discover the expertise of CA Mukesh Shukla, the best business coach in India, dedicated to empowering entrepreneurs and fostering self-reliance among the youth. With a passion for developing entrepreneurship skills and contributing to the Atma Nirbhar Bharat Abhiyan, CA Mukesh Shukla offers unparalleled guidance and support for business growth. Learn more about his journey and transformative impact on the Indian economy at CA Mukesh Shukla's official website

[lifehackdeliver]

Smart Farms-Background,Principles,Advantages,Disadvantages,Applications,Outlook

Background Smart farms are an innovative agricultural system that integrates information and communication technology with agriculture, aiming to enhance efficiency and productivity compared to traditional farming methods. The need to introduce new technologies and methods in agriculture has become increasingly urgent due to climate change and population growth, necessitating an increase in food production and improved efficiency in crop production.

Principles

Sensors and IoT Technology:

Smart farms utilize various sensors and IoT (Internet of Things) technology to monitor crop growth conditions, soil status, and weather information in real-time. This allows farmers to assess the health of their crops and take necessary actions.

Automation and Robotics:

Smart farms employ automation and robotics to automate farming tasks. Robots perform tasks such as planting, maintenance, and harvesting, while automated systems reduce labor demands and enhance productivity.

Big Data and Artificial Intelligence:

Smart farms use big data and artificial intelligence to predict crop yields and provide optimal growing conditions. This enables farmers to develop efficient production plans and improve crop quality.

Advantages

Increased Productivity:

Smart farms significantly boost productivity through automated and optimized cultivation management. Efficient farming systems reduce work time and increase crop yields.

Resource Conservation:

Smart farms efficiently manage resources such as water, fertilizer, and energy, minimizing waste. Through sensors and data analysis, farmers can predict the exact needs of crops and use resources efficiently.

Improved Quality:

Smart farms enhance crop quality through precise cultivation management and monitoring. By identifying the optimal harvest time and conditions, high-quality agricultural products can be produced.

Disadvantages

High Cost:

Establishing a smart farm requires expensive sensors, robots, and other equipment, leading to high initial investment costs. Maintenance and upgrade costs also need to be considered.

Dependence on Technology:

Smart farms rely heavily on the latest technology, necessitating the ability to adapt to technological changes. Rapid advancements in technology may render implemented systems obsolete quickly.

Applications

Precision Agriculture:

Smart farms offer optimal growing conditions by precisely monitoring crop growth, soil conditions, and weather. This enables farmers to observe crop growth in real-time and take necessary actions.

Automated Agriculture:

Smart farms automate farming tasks using robots and automated equipment. Robots perform tasks such as planting, maintenance, and harvesting, reducing labor demands and enhancing productivity.

Data-Driven Decision Making:

Smart farms use sensor data and big data analysis to predict crop yields and establish optimal production plans. This enables efficient production management for farmers.

Resource Management:

Smart farms efficiently manage resources such as water, fertilizer, and energy, minimizing waste. Through sensors and data analysis, farmers can predict resource usage accurately and allocate resources efficiently.

Outlook Smart farms are bringing about innovative changes in the agricultural sector, contributing to increased efficiency in crop production and minimizing environmental impact. With the further development of sensor technology, big data analysis, and artificial intelligence, smart farms are expected to play a crucial role in leading the future of agriculture.

[svsembedded]

iot based agriculture monitoring pump on/off using arduino with Manual / Automatic | Smart Agriculture IoT Solution - IoT Sensors (Soil Moisture, Humidity, Temperature) | Smart Irrigation System | Arduino Uno | DHT11 | Humidity Sensor | Soil Moisture Sensor | Relay | GSM Based Motor Controller in Irrigation by Using Sensor's [ Soil Moisture Tank Water Level ] | SMS Based Remote Agriculture Pump ON/OFF Control and Notification | IOT BASED SUBMERSIBLE MOTOR PUMPS ON/OFF | IoT Based Agriculture Monitoring | pH | Moisture | Light | Irrigation | Rain | Temp | Humidity | IOT Based Agriculture Monitoring and Controlling System using Arduino Uno.***********************************************************If You Want To Purchase the Full Working Project KITMail Us: svsembedded@gmail.comTitle Name Along With You-Tube Video LinkWe are Located at Telangana, Hyderabad, Boduppal. Project Changes also Made according to Student Requirementshttp://svsembedded.com/                  https://www.svskits.in/ http://svsembedded.in/                  http://www.svskit.com/M1: 91 9491535690                  M2: 91 7842358459 We Will Send Working Model Project KIT through DTDC / DHL / Blue Dart / First Flight Courier ServiceWe Will Provide Project Soft Data through Google Drive1. Project Abstract / Synopsis 2. Project Related Datasheets of Each Component3. Project Sample Report / Documentation4. Project Kit Circuit / Schematic Diagram 5. Project Kit Working Software Code6. Project Related Software Compilers7. Project Related Sample PPT’s8. Project Kit Photos9. Project Kit Working Video linksLatest Projects with Year Wise YouTube video Links157 Projects  https://svsembedded.com/ieee_2022.php135 Projects  https://svsembedded.com/ieee_2021.php 151 Projects  https://svsembedded.com/ieee_2020.php103 Projects  https://svsembedded.com/ieee_2019.php61 Projects    https://svsembedded.com/ieee_2018.php171 Projects  https://svsembedded.com/ieee_2017.php170 Projects  https://svsembedded.com/ieee_2016.php67 Projects    https://svsembedded.com/ieee_2015.php55 Projects    https://svsembedded.com/ieee_2014.php43 Projects    https://svsembedded.com/ieee_2013.php1100 Projects https://www.svskit.com/2022/02/900-pr...***********************************************************Creating an IoT-based Smart Agriculture Monitoring System using Arduino can greatly improve the efficiency and productivity of farming. In this project, we'll use Arduino, various sensors, and an IoT platform like ThingSpeak or Adafruit IO to collect data and monitor the agricultural environment remotely. Here's a step-by-step guide to help you get started:Components Needed:1. Arduino (e.g., Arduino Uno or Arduino Mega)2. Sensors:• Soil Moisture Sensor• DHT22 or DHT11 Temperature and Humidity Sensor• Light Sensor (LDR)• Rainfall Sensor (optional)3. ESP8266 Wi-Fi module or ESP32 (for IoT connectivity)4. Relay module (for controlling irrigation systems)5. Power supply (solar or standard power source)6. Water pumps, valves, or actuators (for automated irrigation)7. Enclosure for outdoor installation (to protect electronics)8. Jumper wires, breadboard, and connectors9. Internet connectionProject Steps:1. Hardware Setup:• Connect the sensors and actuators to the Arduino using jumper wires.• Connect the ESP8266 or ESP32 to the Arduino using serial communication or I2C for data transfer.• Make sure all connections are secure and powered properly.2. Sensor Data Collection:• Read data from the soil moisture sensor to monitor soil moisture levels.• Use the DHT22/DHT11 sensor to measure temperature and humidity.• The light sensor can be used to monitor light intensity.• Optionally, include a rainfall sensor to measure precipitation.3. Arduino Programming:• Write Arduino code to read data from the sensors.• Implement control logic for irrigation systems based on the sensor data. For example, turn on/off water pumps or open/close valves.• Create a mechanism to send sensor data and control commands to the IoT platform via the ESP8266 or ESP32.4. IoT Integration:• Sign up for an IoT platform like ThingSpeak, Adafruit IO, or Ubidots.• Obtain the necessary credentials (API keys) to connect your Arduino to the platform.• Modify your Arduino code to send sensor data to the IoT platform periodically.• Set up dashboards and alerts on the IoT platform to visualize and analyze the data remotely.5. Remote Monitoring and Control:• Access your IoT platform's dashboard or mobile app to remotely monitor the agricultural conditions.• Implement automation rules and alerts to trigger actions (e.g., irrigation) based on specific conditions (e.g., low soil moisture).6. Power Supply:• Depending on your project's location, consider using solar power or a reliable power source to ensure continuous operation.

[gauricmi]

Revolutionize Your Home with the Ultimate Smart Indoor Gardening System

In today's fast-paced world, where technology continues to infiltrate every aspect of our lives, it's no surprise that even gardening has gone smart. Imagine a home where lush greenery thrives effortlessly, where herbs and vegetables grow bountifully year-round, all managed with the touch of a button.

Gone are the days of traditional gardening methods fraught with guesswork and uncertainty. The Smart Indoor Gardening System integrates cutting-edge technology to streamline the entire gardening process, from seed to harvest. Whether you're a seasoned gardener or a novice, this system empowers you to cultivate thriving plants with minimal effort.

One of the key features of the Smart Indoor Gardening System is its intuitive automation capabilities. Equipped with sensors that monitor factors such as moisture levels, temperature, and light intensity, the system autonomously adjusts environmental conditions to ensure optimal growth for your plants. Say goodbye to the hassle of manual watering schedules and fretting over whether your plants are receiving adequate sunlight.

Get More Insights On This Topic: Smart Indoor Gardening System

[techoholic]

[iotbasedatermanagement]

Smart Farming Starts with Smart Irrigation System Using Iot

KarIot introduces Smart Farming Starts with Smart Irrigation System Using Iot. Our cutting-edge technology integrates IoT seamlessly into agriculture, revolutionizing irrigation practices. With real-time monitoring and data analytics, KarIot empowers farmers to optimize water usage, enhance crop yields, and promote sustainability. Precision irrigation techniques, remote monitoring, and scalability make KarIot the ideal choice for modern farms. Experience the future of agriculture with KarIot's innovative solutions driving efficiency and productivity.

[farmerstrend]

IoT Innovations: How Data-Driven Farming is Enhancing Food Security in Kitui County

The people of Kitui County, Kenya, which is east of Nairobi, had three seasons of failed harvest. The communities in this county were feeling the effects of climate change, and life was extremely hard without successful harvests. CWS started working with these communities in 2021 to improve their resilience by increasing the utilization of technology in climate change information. Top: Michael…

[tritonmarketresearchamey]

Smart Agriculture Market: Key Insights 2028

The agriculture industry is constantly losing its workforce due to the rise in urbanization, increased migration of local laborers, and lower farm revenue. These factors have led farmers to look for new solutions. Smart farming has gained momentum with automation in activities using technologies such as the IoT, big data & analytics, artificial intelligence and machine learning. The global smart agriculture market is anticipated to surge at a CAGR of 10.35% over the forecast period 2022-2028.

With a boom in population, food demand is anticipated to rise incrementally by 2050. There will be immense pressure on farmers to increase crop production and yield. This can only be achieved by increasing the land to grow crops or opting for new techniques, such as precision and vertical farming. The use of technologies, such as LED indoor farming, to create nature-like conditions will help farmers to match the expected demand for food supply in the future.

Digitalization – Key Driver

According to our reports, based on the type segment, precision farming currently holds the largest share of over 42.04% and is anticipated to maintain its stronghold throughout the forecast period.

Precision farming is experiencing a rapid transformation from a service and product perspective. The emergence of smart sensors, robotic automation, sophisticated biologicals, digital data, and many big incumbents are a few technological advancements that are ushering a new era in agriculture. The integration of technology in precision farming equipment is anticipated to drive the studied market’s growth.

Irrigation products have been a major contributor to the precision farming market. With the growing need for appropriate agricultural equipment, variable rate application (VRA) products are expected to propagate the studied market in the next five years.

Globally, the Asia-Pacific smart agriculture market is projected to be the fastest-growing region during the forecast period 2022-2028. The region presents immense scope for development, owing to the increasing urban population size, growing penetration of the internet in farm management, and favorable government investments. Moreover, the presence of economically advancing countries such as India and China is expected to create avenues for precision agriculture in the region.

Automation Trends

A shift in the global aging demographic has prompted the adoption of automation in farming practices.

Automation and control system manufacturers have seen a significant increase in sales due to this profound change in the farming industry.

Over the last 5 years, agricultural robots have been deployed for the purpose of crop management. These robots selectively treat soil and crops based on their needs, thereby reducing manual labor. Out of all the robots used in smart farming, UAVs/drones generated the most revenue.

Companies to Watch in the Market

In recent years, partnership and collaboration have been key strategies for expansion in the smart agriculture farming market. With the increasing growth in the global market, companies in this industry have incorporated collaborative strategies with other agricultural OEMs to remain competitive.

Some of them are as follows:

In May 2022, AGCO Corp acquired JCA Industries Inc (a leading autonomous software provider of agricultural-related products) to enhance the company’s automation system portfolio.

In June 2021, AgJunction Inc collaborated with Robert Bosch LLC to join the NEVONEX partner network. The partnership integrated NEVONEX into AgJunction’s hardware modules. The collaboration also enabled AgJunction Inc to provide its customers with a wider range of automated processes.

In February 2021, DroneDeploy collaborated with Corteva Agriscience, a leading manufacturer and supplier of agricultural seeds and chemicals, to design, develop, and provide advanced artificial intelligence and machine learning platforms to farmers to improve productivity.

In January 2021, Farmers Edge Inc collaborated with Google Cloud to promote the company’s services and boost its program’s implementation of artificial intelligence, machine learning, and predictive analysis.

Conclusion

Technological advancements and their incorporation into farming activities have benefited the agricultural sector. Out of all the equipment, such as sensors and robots, drones are anticipated to revolutionize the sector, as companies and farmers are eager to incorporate them into their business models. According to the Association for Unmanned Vehicles Systems International (AUVSI), around 80% of commercial drones will eventually be used for agriculture. The data collected from drones help farmers to improve the yield and provide water, fertilizer, and chemical pesticides to the crops when needed. It also helps to monitor crop health while checking for signs of diseases. Thus, the increasing benefits of automation and the use of drones in agriculture are anticipated to create new avenues for the smart agriculture market.

 

FAQ:

Q 1) What are the revenue estimations for the global smart agriculture market?

The global smart agriculture market was valued at $12.52 billion in 2021 and is expected to reach $24.88 billion by 2028.

Q2) Which segments are covered under the smart agriculture market?

Type and component are the segments covered in the smart agriculture market.

[luckyonexcel]

Exploring the Future of IoT | Internet of Things

Internet of Things (IoT) has already transformed the way we perceive and interact with technology connecting everyday objects to the digital world. As we navigate through a rapidly evolving technological landscape it becomes crucial to delve deeper into the future of IoT and the endless possibilities it holds. Let’s explore the exciting advancements and emerging trends that will shape the future…

[entrepreneurbar]

A profound transformation is silently unfolding within the expansive realm of agricultural practice, where terrestrial and celestial realms converge to orchestrate life cycles. This metamorphosis is propelled by the convergence of technological advancements and traditional methodologies, with the Internet of Things (IoT) emerging as a potent catalyst reshaping longstanding agricultural paradigms. This paper elucidates the burgeoning landscape of IoT integration within agriculture, delineating its multifaceted implications for enhancing operational efficiency, ecological sustainability, and productivity within this critical sector.

Unveiling the Technological Canvas of IoT in Agriculture

The conceptual framework underpinning IoT in agriculture delineates a network of interconnected devices, spanning from sensors to intelligent apparatuses, seamlessly integrated into the agricultural infrastructure. These devices orchestrate a symphony of data exchange and communication over the internet, engendering automated processes and informed decision-making devoid of human intervention. At its core, IoT in agriculture epitomizes a data-centric approach, leveraging sensors for data acquisition, processors for analysis, and communication modules for real-time information dissemination, thereby facilitating precise monitoring, control, and optimization across diverse agricultural domains.

To Continue Reading: Mukesh Shukla