iot application development

How IoT Solutions can Enhance Agriculture in 2020?

After taking a look at the attempts made by IoT to influence different sectors and technologies, its clear that IoT has developed a remarkable space in all the types of market, say manufacturing or smart home, mobile app or healthcare etc. Most of the attempts are successful and are strongly upheaving the business.

Well, this IoT would not have been possible without iot application development company. A reliable and proficient iot development services hold all the power to change the virtual thoughts into reality.

Since the population is increasing rapidly, the demand for food and crop is obvious to be noticed. Improper crop management and storage is the leading reason for the “food-shortage” disaster.

An iot development company can help in this crisis by integrating the whole agricultural process with IoT.

Why Internet of Things in agriculture?

Contributing to making better agricultural tradition, IoT is used to do precision farming, carry out greenhouse activities, management and monitoring of fish farms.

Various systems contribute to IoT in agriculture and are used as per the needs of the area and its production. For instances, livestock monitoring hardware, fish farming hardware, automation and control systems, sensing and monitoring device, software and smart greenhouse hardware.

Applications of IoT for:

  • Livestock & plant disease monitoring
  • Yield measurement
  • Quota systems
  • Soil conditioning
  • Remote machine control
  • Computer platform controller
  • Mobile platform controller

What do you need to imply IoT to farmland:

Application of IoT in farming is only possible if the farmland has sensor networks, data analytics software, machine to machine communication, mobile or computer-based application and management system.

The different tech tools supporting IoT for farm management enables for making informed decisions at the right time.

Read More: Know How IoT can Double Your Hospitality Business?

Advantages of including IoT solutions in agriculture:

Better insight into Internal processes:

  • Site managers will get a better view of the farm field by providing precise data of the soil strength, crop health, track the performance of the fleets etc. These will provide detailed information covering all the facets of agriculture from beginning to an end with IoT technologies.

Enhanced Coordination of the Process:

  • Inclusion of IoT application into the agriculture sector provides a way to analyse the existing data and modify the farming methods if needed. Through advanced machine learning and data visualization tools, real-time data monitoring has become possible. Thus, it aids in substantial growth in a cost-effective way.

Improvement in Productivity:

  • The ultimate goal of adding advanced agriculture is to increase productivity. Smart agriculture is an attempt to improve yield on a large scale. IoT helps in the same from the very starting point to the last end.
  • IoT assists in precision farming, autonomous tractors, extensive flood control methods via IoT sensors and forecast.
  • Smart agriculture is the top call of the generation as it is capable of improving the existing irrigation facilities, which can increase crop yield by offering end-to-end IoT agriculture monitoring.

Higher Return on Investment:

  • Organic farming has owned the market by showcasing its substantial health benefits. People are falling for it in a flow, thus shifting to organic farming provides better earning opportunity.
  • IoT solutions can back the concept as it can ensure less crop wastage and better yield. It provides analyzed data on most’ most’ favourable condition” which can be utilized for farming.
    Prediction for informed decision making.
  • Precise farm management process can be possible only through the smart agriculture monitoring system by using IoT data visualization tools, detailed overview of asset health, soil condition and other related factors.
  • The predictive analysis helps farmers by providing a complete solution through a single dashboard using smart farming IoT solutions.

Read More: Top 13 Expected IoT Trends of 2020

Best Quality Yield:

  • Good quality yield is the only ‘target’ of the farm owner because it influences their earning. IoT can help to get more potent and flourishing agriculture land for farming.
  • IoT helps to create a smart greenhouse implanted with micro-controllers, sensors that can capture the plant growth, lighting and pest usage.
  • The inclusion of IoT helps in adopting Eco-farming, ending the negative impacts of chemical that causes health hazards.

The agriculture industry is ready to welcome the all-new innovations and smart technologies which can improve and enhance productivity. It has accepted IoT for the development of the industry by analyzing the information gathered from sensors, weather station and other machinery.

In a nutshell:

Iot development company holding years of experience in providing IoT solutions can help in maturing old-traditional agriculture. It is expected that IoT solutions will increase productivity while enhancing the efficiency of the field and agriculture tools.

The add on provided by IoT are- water conservation, reduced crop spoilage, reduced fuel wastage and early prediction of looming risks.

The endless potency of IoT has changed the outlook of different sectors. If you are a landowner and looking for a farming solution to earn more, then IoT is the best solution to go with. Contact an iot application development company and turn your imagination into a reality.

Is IIoT is the Fourth Industrial Revolution?

Industrial Internet of Things (IIoT) is the next revolution which has finally entered the industrial world and made a recognizable impact on the market. It has permitted the manufacturing industry to digitize its overall business.

Most of the large scale manufacturers know about this highly-profitable revolution but still lack the knowledge for where to concentrate, put efforts and decisions to make initiate.

The ultimate objective is to drag in IIoT in manufacturing to shorten the downtime of factories, save energy through smart power saving and enhance the yearly revenue. The revolutionary Internet of Things can modify the manufacturing ecosystem by extending the value chain, moving toward the flexible production process and improving customer service. If your products aren’t smart even then get IoT Development Services.

What is the Industrial Internet of Things?

The IoT has influenced the sectors in a way that it is no more an unfamiliar word to any of the industry. The invincible qualities and benefits of IoT have knocked on the door of the Industrial and Manufacturing space to make way to modern revolution i.e Industrial IoT.

IIoT, along with different technologies like machine learning, sensor data, big data, M2M communication and automation would endeavour to transform the outlook of the existing manufacturing process while achieving the best outcome.

What would IIoT do?

IIoT would create a pathway to the connected enterprise to get better visibility, boost operational efficiency, increase productivity and reduce the complexity of the process in the industry.

IIoT is introduced to ultimately end the bulging gaps and shortcomings in the manufacturing industry and improve the quality, safety and productivity in a trade.

Optimizing Operations in Manufacturing through IIoT

Let us explore the plan through which manufacturers can shift to smart factories.

IIoT offers optimal practices of devices connectivity and management, synchronization of processes, and advanced analytics to get the best productivity.

Following are the must-to-consider dimensions that manufacturers need to focus on twirling the wheels of the fourth industrial revolution.

Also Read: Cloud-MANET an IoT Collaboration- A New Era of Technology?

Making the equipment Smart and Intelligent:

Currently, the regular working pattern of factories lack proper management because of

  • Different equipment works independently
  • Machineries are fixed or maintained only in breakdown
  • No alternative or proper plan of load balance to schedule maintenance checks

Smart Factories are equipped with intelligent equipment that can self-manage work and integrate with the entire manufacturing ecosystem for the synchronized workflow of processes.

Sensors for Safety:

Installing sensors in manufacturing industry backs in increasing visibility into the functioning of equipment and provides details on possible threshold violations.

Manufacturers can quickly discover existing problems through remote monitoring of computer where sensors are connected to other large networks for in-depth analysis.

IoT just not linger around saving money and time but it prioritizes the safety of workers also.

Sensors installed can also be used to manage and keep surveillance on the workers’ to ensure their safety.

Building a Blended Workforce

Often observed that workers operate on pre-defined schedule regardless of production plans which contribute to wastage of money, efforts and resources.

To optimize the output, it is better to align their work along with machines to develop positive collaboration to deliver outputs as per manufacturing requirements.

Involvement of such result-focused efforts of a blended workforce guarantees to aid in improving the efficiency of manufacturing processes.

Train your employees to adopt the emerging and highly beneficial technologies of wearables and mobile, which helps to instil the concept of enterprise mobility. This eventually helps in improving accessibility and flexibility to undertake tasks.

Addition of latest technology would help in getting access for checking essential data such as work status, work allocation details and instruction in real-time by the entire workforce. It would provide a permit for updating the data as well.

The collaboration of human and machine would resolve the issue of underutilized and unused assets, crossing of deadlines, and management of people as per the urgency of the delivery.

Also Read: How IoT has Influenced The Healthcare Industry?

Predictive maintenance Power:

It is predicted that the entry of the Industrial Internet of Things would redraft the existing operating efficiencies into a positive. It would improve the financial and economic status of the manufacturing industry.

For instance, if a machine does not provide its actual output, then this symbolizes of the fault which could be easily sensed by the connected sensors. The connected sensors would be able to identify the reason behind malfunction and would generate a service request.

Predictive maintenance holds a high power to reduce and stop the upcoming huge losses. It helps manufacturers by predicting which machine might breakdown or enter a dangerous operating condition even before it happens.

The process of condition monitoring is a time-consuming process which mainly involves surveillance of vibrations, sound frequencies and temperature of a given machine to get the information of its reasonable condition.

With the use of sensors, it would become easy to collect and quickly analyze data points, thus making a highly accurate prediction to restrain losses.

The overall equipment effectiveness (OEE) improves with the inclusion of IIOT and sensors. Ultimately effective OEE reduces sudden losses caused to organization by predicting when machines would require maintenance and need services.

By curtailing the machine downtime, manufacturing companies can potentially utilize the machines’ capacity.

Business Process

Manufacturers are aggressively participating in the adoption of the integrated and synced systems that provides better output. The advanced system provides real-time visibility of materials and products throughout the lifecycle, optimize workflow to support precautionary actions for defective products, and optimize plant operations for effective use of resources and assets. Manufacturers are upgrading themselves by dissolving the existing manual management involving tracking people, materials, tasks, and products.

The future companies would be agile, easily adjustable and would cope with the changing demand of the customer without influencing the cost and compromising with the quality.

Conclusion

IIoT would come up as most influencing and promising technology of future which would undoubtedly create an economic change. The prediction and calculation support the conclusion that it would influence the economy of the manufacturing industry positively.

Looking for a reliable iot app development company? Prompt Softech has inscripted its name in providing the best iot app development services.

Developer Skills Required for Successful Enterprise IoT Projects

Successful launch of IoT project then rafting it on the success stream and ending its as the spondulicks-oriented project remains tough if developer skill lacks for the completion of an IoT project in an IoT development company:

  • Embedded firmware developers
  • Back-end developers
  • App developers
  • Data scientists
  • Hardware designers
  • Wireless communications experts
  • Front-end developers
  • Automation and systems integration engineers

The first and the future determining step of any IoT project is – defining a goal and drafting a proof-of-concept system to reach the goals.  At this stage, one needs a subset of the skills, but once project lines up in success, the requirement of breadth and depth of team increases.

In an IoT application development company, it is possible that an individual developer can have several skills, but sometimes each skill requires their team. The number of people or the need of a separate team is dependent on the complexity of the project and its success. Huge success demands extreme hard work hence more bucks to hire more people.

A) Hardware Designers:

IoT, being a most-in-demand system, have some terms and conditions in the form of custom hardware design. The complexity of the hardware depends on the projects. Simple projects require hardware modules and reference designs for which a primary electrical engineering education is enough. Complex project demands considerably more experience and expertise.

Typical skills required:

  • RF and antenna design
  • Clocks, signal routing experience
  • Interfacing: SPI, I2C, JTAG, USB, GPIO
  • Production and component sourcing
  • Low-power design and power consumption optimization,
  • Printed Circuit Board (PCB) design
  • Chip selection: microcontrollers, sensors, interface chips

B) Embedded Firmware Developers:

IoT application development company have Embedded developers who turn the concept into magic. These are the software people that work on software at an extreme level, very close to the bare metal hardware. This software is called firmware.

The typical background consists of computer architecture, electrical engineering and software development. Embedded developers have to deal with prototype versions of the final hardware and their desks, indeed a messy work.

Typical skills required:

  • Programming languages: C, assembly language, C++
  • Real-Time Operating System (RTOS) experience: FreeRTOS, Contiki, Zephyr
  • Source code version control
  • Embedded Linux
  • Physical and information security
  • Platforms: Texas Instruments, ARM Cortex, AVR, Microchip, Arduino, Raspberry Pi.

Also Read: Is It Easy to Have an Embedded Software Development?

C) Wireless Communications Experts:

The IoT Project roams around wireless services, but wireless is hard because it integrates the complexities of the physical world with the complexities of software.

Necessary background for a wireless communication expert is- wireless communication, network protocols, and software development. For consumer-level IoT systems, wireless communication proficiency is required to connect the devices smoothly via Bluetooth to users’ smartphones.

Typical skills required:

  • Wireless mesh networking
  • Good understanding of power consumption
  • Network simulation
  • Good knowledge of wireless propagation
  • Protocols: TCP/IP, IPv4, IPv6, RPL, TLS, WiFi, Bluetooth, 6lowpan, ZigBee, LoRA, MQTT, CoAP

D) Back-End Developers:

In IoT systems, the back-end is a system where databases and application logic is stored. It is generally deployed in a cloud host and stores data from the IoT devices while authenticating users and providing APIs for the front-end, meanwhile integrating with other systems.

Typical skills required:

  • Database: MySQL, MongoDB, Redis
  • DevOps experience
  • Programming languages: JavaScript, Go, Python, Ruby
  • Cloud platforms: Amazon AWS, Heroku, Microsoft Azure

E) Front-End Developers:

Most IoT projects have a front-end in the form of a web page for providing a platform to the users of the system for interaction purposes. So, it needs to be easy to use, secure, can work in the most common web browsers and need to be updated.

Front-ends are developed in HTML and require framework written in JavaScript. Front-end developers are responsible for creating visual experiences, often by writing lots of text on a screen.

Typical skills required:

  • UI/UX design
  • HTML, CSS, Javascript
  • Experience with user interviews and HCI
  • Web development frameworks: Vue.js, React, Bootstrap

Also Read: Is IoT is Actively Shaping Security Needs at Edge?

F) App Developers:

Many IoT projects, particularly user-facing use a mobile app as the user interface. As the project proceeds, the mobile app experience becomes more and more critical. This reflects that two versions of the app need to be developed and update that is iOS and Android. Possibly, a native hybrid app which is developed in HTML is the way to do. Experienced app developers are aware of the benefits and challenges of hybrid or native frameworks.

Typical skills required:

  • Native/ hybrid frameworks: Phonegap/Cordova, Ionic, Angular, React, Vue
  • Android, iOS development
  • Programming languages: Java, Swift, Objective C, JavaScript

G) Systems Integration and Automation and Engineers:

Most of the times, IoT projects require integration with existing software. Generally, software integration is an underrated task that consumes significant effort and requires a specific set of skills to be successful.

One needs to check the proper functioning of integration as well. Certainly for this, one needs automatic testing and systems integration, and automation engineers are hired for this purpose.

Typical skills required:

  • REST APIs
  • Automated testing frameworks: Jenkins, Mocha, Travis
  • Programming languages: Javascript, Java, Python, Bash

H) Data Scientists:

IoT projects are about data, and one needs to extract the synopsis from it. Initially, this may be simple as putting Key performance indicators into an excel sheet to compare them, but with the progress, it requires in-depth data analysis. Then, comes the role of data scientists to extract the beneficial and future determining data for the success of the project.

Typical skills:

  • Programming languages: Matlab, R, Python
  • Statistics, AI, machine learning, data mining
  • Tools: Excel, Google BigQuery, Hadoop, TensorFlow, Spark

I) In a nutshell:

A full-featured IoT project needs a wide range of skills for its success. Initially, you might not find the importance or need of all the skill, but once the project begins for real, all the above-listed skills become mandatory.