Explore how AI/ML, IoT, Blockchain, Automation, & GIS are disrupting Agriculture technology trends & why you should tread towards expanding your Agro business.
Artificial Intelligence In Agriculture & Its Status in IndiaJanhviTripathi
Worldwide, agriculture is a $5 trillion industry, and with the ever increasing population, the world will need to produce 50% more food by 2050 which cannot be accomplished with the percentage of land under cultivation. Factors such as climate change, population growth and food security concerns have propelled the industry into seeking more innovative approaches to protecting and improving crop yield. As a result, Artificial Intelligence is steadily emerging as part of the industry’s technological evolution which help can help farmers get more from the land while using resources more sustainably, yielding healthier crops, control pests, monitor soil, help with workload, etc
*All the media belongs to the respective owners*
Contact me for further queries & discussions...
Reshaping the Future of Agriculture through ICT: Agriculture 4.0Rizwan MFM
M.F.M. Rizwan | Assistant Director of Agriculture (Development)
National Agriculture Information & Communication Centre (NAICC) | Department of Agriculture
Indian agriculture: Mechanization to DigitizationICRISAT
India is characterized by small farm holdings. More than 80% of the land holdings are less than 2 ha (5 acres). About 55% of India’s population is engaged in Agriculture with 40% farm mechanization. Due to non-remunerative nature of farming, more than 50% farmers in India are in debt. This situation has constrained farmers from investing in mechanization and other technologies.
-> ICRISAT Director General Dr David Bergvinson's presentation at the CII Agri business and Mechanization Summit held in New Delhi, India on 01 Sep 2015.
A session on "Digitalization of Agriculture" at Entrepreneurship Conclave organized by Shailesh J. Mehta School of Management, Indian Institute of Technology Bombay.
How artificial intelligence revolutionising agriculture industry in 2021 li...kalyanit6
Great Artificial Intelligence can diversify your company in a competitive market. As the world becomes increasingly digital, investing in an AI developer can help your business stand out from the rest.
Artificial Intelligence In Agriculture & Its Status in IndiaJanhviTripathi
Worldwide, agriculture is a $5 trillion industry, and with the ever increasing population, the world will need to produce 50% more food by 2050 which cannot be accomplished with the percentage of land under cultivation. Factors such as climate change, population growth and food security concerns have propelled the industry into seeking more innovative approaches to protecting and improving crop yield. As a result, Artificial Intelligence is steadily emerging as part of the industry’s technological evolution which help can help farmers get more from the land while using resources more sustainably, yielding healthier crops, control pests, monitor soil, help with workload, etc
*All the media belongs to the respective owners*
Contact me for further queries & discussions...
Reshaping the Future of Agriculture through ICT: Agriculture 4.0Rizwan MFM
M.F.M. Rizwan | Assistant Director of Agriculture (Development)
National Agriculture Information & Communication Centre (NAICC) | Department of Agriculture
Indian agriculture: Mechanization to DigitizationICRISAT
India is characterized by small farm holdings. More than 80% of the land holdings are less than 2 ha (5 acres). About 55% of India’s population is engaged in Agriculture with 40% farm mechanization. Due to non-remunerative nature of farming, more than 50% farmers in India are in debt. This situation has constrained farmers from investing in mechanization and other technologies.
-> ICRISAT Director General Dr David Bergvinson's presentation at the CII Agri business and Mechanization Summit held in New Delhi, India on 01 Sep 2015.
A session on "Digitalization of Agriculture" at Entrepreneurship Conclave organized by Shailesh J. Mehta School of Management, Indian Institute of Technology Bombay.
How artificial intelligence revolutionising agriculture industry in 2021 li...kalyanit6
Great Artificial Intelligence can diversify your company in a competitive market. As the world becomes increasingly digital, investing in an AI developer can help your business stand out from the rest.
Agriculture 4.0- The future of farming technology Dishant James
The World Government Summit recently came out with an agenda to improve agricultural technologies by integrating farming with industry 4.0. The outcome would be a fourth agricultural revolution or Agriculture 4.0
Internet of Things & Its application in Smart AgricultureMohammad Zakriya
As we know Agriculture plays vital role in the development of agricultural country. In India about 70% of population depends upon farming and one third of the nation’s capital comes from farming. Issues concerning agriculture have been always hindering the development of the country. The only solution to this problem is smart agriculture by modernizing the current traditional methods of agriculture. Hence the project aims at making agriculture smart using automation and IoT technologies.
Farmers, growers, and agricultural companies are increasingly adopting digital technologies to transform a traditional industry. In the past, farmers and growers made decisions based on their personal experience, combined with interpreting local conditions.
But digital technologies, from the internet of things to blockchain, are rapidly turning the industry into a high-tech sector. Smart, connected devices can now provide the insight to enable farms to improve every aspect of their operations.
- What is the digital agriculture revolution?
- How digital technologies are transforming the industry – including the impact of the internet of things and blockchain.
- What are the unique challenges that the sector faces in adopting digital technology?
- The future of agriculture
The presentation is on Digital Agriculture and Its Application in Agriculture. The presentation went through problems of Agriculture, potential ways to cater those problems and how use of technology and their uses sustain the life of agriculture for our future generations with few case studies. I hope this is useful to student community. For PPT mail me at #pavankalyan6898@gmail.com , thank You
Thinking about the distant future allows us to go out of the box and to create room for social creativity and empathy. The technology survey, the social developments, the archetypal scenarios and the visions of the future in this study aim to boost the debate on the Dutch agro & food sector, especially in the domains where technological developments may have an impact. Taken together, these instruments form an important inspiration for further study, policy studies, innovation and a public debate.
Artificial Intelligence is an approach to make a computer, a robot, or a product to think about how smart humans think. AI is a study of how the human brain thinks, learns, decides and work when it tries to solve problems. And finally, this study outputs intelligent software systems. The aim of AI is to improve computer functions that are related to human knowledge, for example, reasoning, learning, and problem-solving.
Digital Agriculture can be defined as ICT and data ecosystems to support the development and delivery of timely, targeted (localized) information and services to make farming profitable and sustainable (socially, economically and environmentally) while delivering safe, nutritious and affordable food for ALL. Rural connectivity will be a key to providing low cost data and access to information. Digital technology will be key to increasing agriculture productivity by delivering tailored recommendations to farmers based on crop, planting date, variety sown; real time localized observed weather and projected market prices. Mobile phones also enable farmers to integrate into structured markets based on approved grades and standards. The greatest impact of Digital agriculture will have is on democratization of market pricing and compressing transaction costs. Digital agriculture will also leverage social media platforms to build human capacity. One of the best examples originating from India is Digital Green.
Modern farming has gone through a massive upgrade due to the evolution of the latest technologies. The tech innovations have given a complete overhaul to the agriculture industry.
This post highlights the most recent innovation in Agriculture that are likely to dominate in the future.
Read here for more details!
Agriculture 4.0- The future of farming technology Dishant James
The World Government Summit recently came out with an agenda to improve agricultural technologies by integrating farming with industry 4.0. The outcome would be a fourth agricultural revolution or Agriculture 4.0
Internet of Things & Its application in Smart AgricultureMohammad Zakriya
As we know Agriculture plays vital role in the development of agricultural country. In India about 70% of population depends upon farming and one third of the nation’s capital comes from farming. Issues concerning agriculture have been always hindering the development of the country. The only solution to this problem is smart agriculture by modernizing the current traditional methods of agriculture. Hence the project aims at making agriculture smart using automation and IoT technologies.
Farmers, growers, and agricultural companies are increasingly adopting digital technologies to transform a traditional industry. In the past, farmers and growers made decisions based on their personal experience, combined with interpreting local conditions.
But digital technologies, from the internet of things to blockchain, are rapidly turning the industry into a high-tech sector. Smart, connected devices can now provide the insight to enable farms to improve every aspect of their operations.
- What is the digital agriculture revolution?
- How digital technologies are transforming the industry – including the impact of the internet of things and blockchain.
- What are the unique challenges that the sector faces in adopting digital technology?
- The future of agriculture
The presentation is on Digital Agriculture and Its Application in Agriculture. The presentation went through problems of Agriculture, potential ways to cater those problems and how use of technology and their uses sustain the life of agriculture for our future generations with few case studies. I hope this is useful to student community. For PPT mail me at #pavankalyan6898@gmail.com , thank You
Thinking about the distant future allows us to go out of the box and to create room for social creativity and empathy. The technology survey, the social developments, the archetypal scenarios and the visions of the future in this study aim to boost the debate on the Dutch agro & food sector, especially in the domains where technological developments may have an impact. Taken together, these instruments form an important inspiration for further study, policy studies, innovation and a public debate.
Artificial Intelligence is an approach to make a computer, a robot, or a product to think about how smart humans think. AI is a study of how the human brain thinks, learns, decides and work when it tries to solve problems. And finally, this study outputs intelligent software systems. The aim of AI is to improve computer functions that are related to human knowledge, for example, reasoning, learning, and problem-solving.
Digital Agriculture can be defined as ICT and data ecosystems to support the development and delivery of timely, targeted (localized) information and services to make farming profitable and sustainable (socially, economically and environmentally) while delivering safe, nutritious and affordable food for ALL. Rural connectivity will be a key to providing low cost data and access to information. Digital technology will be key to increasing agriculture productivity by delivering tailored recommendations to farmers based on crop, planting date, variety sown; real time localized observed weather and projected market prices. Mobile phones also enable farmers to integrate into structured markets based on approved grades and standards. The greatest impact of Digital agriculture will have is on democratization of market pricing and compressing transaction costs. Digital agriculture will also leverage social media platforms to build human capacity. One of the best examples originating from India is Digital Green.
Modern farming has gone through a massive upgrade due to the evolution of the latest technologies. The tech innovations have given a complete overhaul to the agriculture industry.
This post highlights the most recent innovation in Agriculture that are likely to dominate in the future.
Read here for more details!
The world is entering a period of economic uncertainty and the impact on global
economic growth is ambiguous. In contrast, these uncertainties are balancing on
emerging markets’ growth prospects particularly in India. Agriculture has always
been associated with the production of basic food crops. Agriculture and farming
were synonymous so long as farming was not commercialised. But as the process of
economic development accelerated, many other occupations allied to farming came to
be recognised as part of agriculture. Agriculture is the primary source of livelihood
for about 60% of India’s population (Situation Assessment Survey of Agricultural
Households, conducted by the National Sample Survey Office). The farming industry
will become arguably more important than ever before in the next few decades.
According to the UN Food and Agriculture Organization, the world will need to
produce 70% more food in 2050 than it did in 2006 to feed the growing population of
the earth (United Nations Food and Agriculture Organisation, 2012).To meet the
growing demand, farmers and agricultural companies are embracing technology for
analytics and greater production capabilities. In rural India, agriculture being one of
the largest sources of livelihood is exposed to periodic droughts and floods, and
farmers lack market access, marketing networks, and information systems. This paper
conceptualizes smart farming effectiveness and the main lessons that emanate from
this paper are that Internet of Things (IoT), combined with big data, provides farmers
with a wealth of information that they can use to maximize productivity in the
vulnerable environment and maintain the quality of food in the supply chain.
The world is entering a period of economic uncertainty and the impact on global
economic growth is ambiguous. In contrast, these uncertainties are balancing on
emerging markets’ growth prospects particularly in India. Agriculture has always
been associated with the production of basic food crops. Agriculture and farming
were synonymous so long as farming was not commercialised. But as the process of
economic development accelerated, many other occupations allied to farming came to
be recognised as part of agriculture. Agriculture is the primary source of livelihood
for about 60% of India’s population (Situation Assessment Survey of Agricultural
Households, conducted by the National Sample Survey Office). The farming industry
will become arguably more important than ever before in the next few decades.
According to the UN Food and Agriculture Organization, the world will need to
produce 70% more food in 2050 than it did in 2006 to feed the growing population of
the earth (United Nations Food and Agriculture Organisation, 2012).To meet the
growing demand, farmers and agricultural companies are embracing technology for
analytics and greater production capabilities. In rural India, agriculture being one of
the largest sources of livelihood is exposed to periodic droughts and floods, and
farmers lack market access, marketing networks, and information systems. This paper
conceptualizes smart farming effectiveness and the main lessons that emanate from
this paper are that Internet of Things (IoT), combined with big data, provides farmers
with a wealth of information that they can use to maximize productivity in the
vulnerable environment and maintain the quality of food in the supply chain.
ENHANCEMENT OF AGRICULTURAL STAKEHOLDERS BY USING ANDROID APPLICATIONvivatechijri
Agriculture sector plays crucial role in Indian Economy. It contributes about 17% to the total GDP and provides employment to over 60% of the population. Need of Enhancement of all stakeholders related to Agricultural sector. Most of the farmers doesn’t have any idea about the rates of crops and their products and they sell their products at any cost Improper accessibility. Android application will resolve the accessibility problem between all the agricultural stakeholders. Many laborers depend on agriculture to get their wages. They can include, grass cutters, tractor drivers, farming apparatus technicians, or anyone who is directly involved in farming activities. That said, agriculture allows manpower to be shifted between the agricultural and non-agricultural sectors. If farmers get an assured minimum support prices for their produces and also if the functioning in trade is made digital or online, or by eliminating middle person who is exchanging goods from farmers to factories or from factories to farmers. Then the financial state of farmers will be improved in agricultural field. These problems arises only because of not having the proper accessibility between each other. Nowadays it’s essential to develop of an effective network of all the agricultural stakeholders. With the help of Android application will try to provide better accessibility in terms of all resources (Time, Money and equipment) between farmers to vendors and vice versa, farmer to workers and vice versa, farmer to agriculture consultant as well as seeds and fertilizers suppliers.
An overall perspective of the IoT for Indian Agriculture and to leverage the solutions for building the eco-system for Indian Agriculture. Currently being worked through NASSCOM, Bangalore
Artificial Intelligence is one of the emerging technologies in the field of agriculture which tries to simulate human reasoning in intelligent systems. It is making a revolution in agriculture by replacing inefficient traditional methods with more efficient AI based methods. AI is used in agriculture in various ways such as automation, robots, drones, soil and crop monitoring, and predictive analytics. This paper provides various applications of AI tools in agriculture. Matthew N. O. Sadiku | Sarhan M. Musa | Abayomi Ajayi-Majebi "Artificial Intelligence in Agriculture" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-2 , February 2021, URL: https://www.ijtsrd.com/papers/ijtsrd38513.pdf Paper Url: https://www.ijtsrd.com/engineering/electrical-engineering/38513/artificial-intelligence-in-agriculture/matthew-n-o-sadiku
Revolutionizing Agriculture: The Role of Industrial Wireless SensorsUbiBot
IoT platforms and wireless humidity sensor are transforming smarter, more efficient, and more sustainable agriculture. Making informed decisions with automation and real-time data can boost production and reduce environmental impact for farmers. Technology will increase the potential of smart agriculture and present farmers with exciting new opportunities.
The Internet of Things (IoT) in agriculture revolutionizes traditional farming practices by integrating smart technologies. Through sensor networks, data analytics, and connectivity, IoT empowers farmers with real-time insights into crop conditions, soil health, and equipment performance. This transformative approach enhances efficiency, resource utilization, and sustainability in agricultural processes, marking a significant leap toward precision farming.
Here we tried to focus briefly on IoT in agriculture topic. Hope it will help you.
The Latest Trends In The IoT Based Smart Agriculture Industry In 2021 UbiBot
The fourth industrial revolution will be dominated by technology and we can find AI (Artificial Intelligence) and the Internet Of Things finding their role in every industry. We all are well-aware of the fact that smart farming is the only way with which farmers can meet the growing global food demands. The wireless humidity sensor and industrial wireless sensors have become a common term in a farmer’s life.
The Artificial Intelligence (AI) In Agriculture market delves into the possible growth opportunities for the global Artificial Intelligence (AI) In Agriculture market and the chronological growth of the market throughout the forecast period.
How Much Does It Cost To Hire Full Stack Developer In 2022.pdfKaty Slemon
Looking to Hire Full Stack developer at an affordable rate? Know how much it cost to Hire full stack Developer, types, popular combinations, and hourly rates
Sure Shot Ways To Improve And Scale Your Node js Performance.pdfKaty Slemon
Want to Improve And Scale Your Node js Performance? Check out some Node Js performance optimization tips and tricks for improving your existing Node Js app.
IoT Based Battery Management System in Electric Vehicles.pdfKaty Slemon
Explore India's most advanced cloud platform- IONDASH, responsible for monitoring the performance of battery management system in electric vehicles.
The Ultimate Guide to Laravel Performance Optimization in 2022.pdfKaty Slemon
Is your Laravel app facing performance issues? Here are the proven Laravel Performance Optimization tips to boost app performance and enhance security.
How to Hire & Manage Dedicated Team For Your Next Product Development.pdfKaty Slemon
Description: Looking for a dedicated team to manage your next product successfully? Read this blog to discover how to hire and manage a remote dedicated team.
Choose the Right Battery Management System for Lithium Ion Batteries.pdfKaty Slemon
Find out how to choose the right battery management system for lithium ion batteries by analyzing key parameters like voltage, current, and BMS architecture.
How to Set Up and Send Mails Using SendGrid in NodeJs App.pdfKaty Slemon
Description: Curious about how to Send Mails using SendGrid in NodeJs App? Read this guide to learn everything about SendGrid, including what is SendGrid and Why to use it!
Ruby On Rails Performance Tuning Guide.pdfKaty Slemon
Want to know how you can Optimize the Ruby On Rails App? Go through this ultimate guide to get the best tips for improving your Ruby on Rails performance.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
2. Quick Summary: Get amazed by
technology’s superpower in the
agriculture sector and witness how
humankind has emerged from the
tedious farm jobs to the exciting
Agriculture Technology Trends in 2021.
This blog post is about the top 5
agriculture tech trends that have
propelled the global agriculture stake.
Let’s explore the latest technology in
agriculture world and future trends in
agriculture for 2021.
3. IoT in Agriculture
Geographic Information System (GIS) in
Agriculture
AI/ML & Data Science in Agriculture
Technology
Blockchain
Automation
Table of Index
1. Introduction
2. Food & Agriculture Organization
Statistics
3. Agricultural Revolution in 20th Century
4. Five Disruptive Agriculture Technology
Trends for 2021
5. Use Cases of Modern Agriculture
Technology 2021
6. Conclusion
5. Modern-day farming and agriculture are no
more a reminder of the laborious sweat-
intensive field-work for farmers and slow
growth patient process. With the
advancement of agriculture trends 2021, the
past decade has seen a thriving hike in
agricultural yields, excellent examples of
contemporary farming, and many more.
6. In this blog, we will envision the latest
technology trends in agriculture
technology that have resulted in the
welfare of farmers and global agriculture
produce.
8. As per the Food and Agriculture
Organization (FAO) report, the primary
crop production has increased 50% in the
last ten years. Parallelly, the world
population will tentatively reach 9.3
billion by 2050, hence imbibing the
demand for more food to feed the human
population. On the charts of ‘Rise in
Hunger,’ currently, there are 60 million
more people than in 2014 who remain
undernourished globally. This matter is a
rousing affair for the agricultural
industry.
9. People are living an undernourished life,
mainly in Asia and Africa. Economically, the
share of Agriculture in the world GDP has
gone up by 68%, but comparing it with the
growing population has been a stable 4%
share since 2000.
11. Today, farmers worldwide are adapting to
the technical aids to improve their farming
efficiencies and gain better yields. Lance
Donny, the new technology agriculture
leader, says that we need to increase crop
production with scarce resources-land,
water, and fertilizers. Some of the state-of-
the-art farming tools and technologies are
crop monitoring drones, livestock
measuring sensors, farm management
software, driverless tractors, and many
more.
12. Agriculture has drastically changed
since the birth of human civilization.
It has moved from being a labor-
intensive industry to a smart and
logical decision-making one. Today’s
farmers are educated, and they make
intuition-based decisions. However
exciting this might sound, there’s a
hidden risk behind it. To cost-effective
and proven solutions, farmers must
use the generous amount of data
available on the internet.
We have seen the magnificent galore
of trending new technology in
agriculture 2020. Be an early adopter
of these technologies to bring a drastic
improvement in your agriculture
business.
14. (1) IoT in Agriculture
The use of the Internet of Things in
intelligent farming is aided with
various sensors implanted in the
agricultural farm. The different
sensors used are light, humidity, soil
moisture, temperature, crop health
monitoring, etc.
Let’s have a look at emerging trends in
agricultural technology for 2021.
15. Data Collection by farm sensors like
autonomous vehicles, wearables, button
cameras, robotics, control systems, etc.
Aerial and ground-based drones for
irrigation, assessing crop health,
spraying, monitoring & field analysis.
Geofencing using wireless IoT sensors
and livestock tracking to monitor cattle
healthcare.
Predictive analytics for rainfall,
temperature, soil, humidity, etc.
Innovative Greenhouse with the aid of
IoT devices and monitors, which doesn’t
require human intervention.
Some of the prime use-cases of IoT in
Agriculture are:
Farmers have accounted that IoT is a cost-
efficient way to increase agro production,
and hence agro-entrepreneurs like yourself
must invest in fascinating IoT app
development for your business.
16. (2) Geographic
Information System
(GIS) in Agriculture
GIS is a technology that represents any
geographical entity in the spatial
representation using hardware, software,
and data. The hardware used in satellites,
drones, GPS systems to locate data points
and fetch information from them for
analysis.
17. In the agricultural domain, farmers can use
GIS to analyze complex spatial data like
rainfall amount, topography, soil elevation,
slope aspect, wind direction, flooding,
erosion, etc., and so much more. Several
satellites are already launched by the
government or universal bodies, e.g.,
Landsat 8, where you need to pay a specific
fee for accessing your geography data.
Irrigated landscape mapping
Crop health assessment
Irrigation amendment analysis
Land degradation assessment studies
Erosion remediation
Efficient drainage elevation models
Some excellent use-cases of GIS in the
agriculture industry trends 2021 are:
18. GIS and its generous usage have led to its
other names- satellite farming or precision
agriculture for all the wonders that offer.
Moreover, with the advancements in GPS,
robotics, and unnamed aerial vehicles,
various farming operations are now
computerized.
19. (3) AI/ML & Data
Science in Agriculture
Technology
Artificial intelligence is the application of
human intelligence via a machine body
where instructions are fed into the
machine, and hence you get clever work
without effort.
20. The entire lifecycle of agriculture involves
preparing the soil, seed sowing, adding
fertilizers, irrigation of water, protections
from weed, harvesting, and storing.
At every stage, growers or farmers need to
rely on their instincts, calculations, and
risks based on the right time and other
factors. AI and ML can contribute
devastatingly and benefit from their proven
data analysis and predictions.
All the crucial agricultural data collected by
IoT devices and ML algorithms are
processed and channelized with data
science. Farmers cannot use the raw data,
and hence data science is changing farmers’
lives in making vital decisions.
21. Predicting yield and quality assessment
Predictive analytics for crop
sustainability
Using ML to eliminate weed by
recognizing species of plants/crops
Detection of crop infections and
diseases
Intelligent harvesting & pricing
decisions
Prevention of wastage and meeting
demands
Autonomous robots for herding cattle
Real-time use cases of AI/ML and data
science in agriculture are:
Eager to opt for AI/ML development
services for your Agro-business?
Get in touch with our AI consultant Now!
22. (4) Blockchain
Once the crops and produce are ready,
farmers dive into the troubles of fair trading,
selling, marketing, and proving the
authenticity of their produce. Hire
Blockchain developer helps farmers ensure
the safety of their crops, preventing theft
and fraud, efficiently managing the supply
chain, and balancing the food ecosystem.
23. Food Traceability
Transparency in the food supply chain
Agricultural insurance for farmers
E-commerce for agro-trades
Agricultural subsidies
The real-time use cases of Agriculture
Blockchain technology are:
24. (5) Automation
Robotics has evolved handsomely, and we
aren’t surprised when machines are doing
farming jobs. It has acknowledged farm
automation, or so-called smart-farming, by
easing the workload on human resources.
Thus, you can meet the international
promise of meeting the rising population’s
demand by producing much-needed agro-
produce with less human intervention and
faster. Drones, custom tractors, watering
motors, harvesters, and more modern-
technology blessings for agriculture
automation.
25. Agrobot is a real-time example that
harvests strawberries, accessible from
a mobile platform, by meeting
farmers’ standards.
Apple harvesting using vacuum by
Abundant Robotics.
Autonomous tractors that are
programmed in advance to perform
driverless control.
Using computer vision for seeding and
sprinkling pesticide where required.
Use Cases of Modern Agriculture
Technology 2021
Exclusive use-cases of Automation in
Agriculture Technology are:
26. Conclusion
Advancing in all the fulcrums of life is
equitable development and growth for
humanity. Imbibing technology in the
agriculture sector is a but-obvious facet
that you must consider for expanding your
agro-enterprise. Bacancy technology is the
best place to get excellent tech-expert
advice and consulting for marching with
emerging trends in agribusiness.