Artificial intelligence has great potential to help address challenges in agriculture and improve efficiency. It can be used for weather forecasting to help farmers determine optimal sowing times, soil and crop health monitoring to identify nutrient deficiencies and diseases, and analyzing crop health with drones to detect issues early. While AI is already being used in these applications, the industry remains underserved and challenges like irregular water access and climate change still exist. Further development of robust AI solutions could help automate farming tasks to boost yields and quality using fewer resources to help address food demands of a growing population.
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...
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.
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...
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.
Artificial intelligence : Basics and application in AgricultureAditi Chourasia
Agriculture is the mainstay of Indian economy as about 60% of our population depends directly or indirectly on agriculture.Exploration of technology in digital world gave birth to a whole new field of making intelligent machines i.e. Artificial intelligence (AI). AI is making a huge impact in all domains of the industry. Every industry looking to automate certain jobs through the use of intelligent machinery. 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, AI is steadily emerging as part of the Agricultural industry’s technological evolution. The automation in agriculture is the main concern and the emerging subject across the world. AI in agriculture not only helping farmers to automate their farming but also shifts to precise cultivation for higher crop yield and better quality while using fewer resources.Technological advancement in the future will provide more useful applications to the sector helping the world deal with various farming challenges used to be faced in traditional agricultural practices.
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
AI bots in the agriculture field can harvest crops at a higher volume and faster pace than human laborers. By leveraging computer vision helps to monitor the weed and spray them. Thus, Artificial Intelligence is helping farmers find more efficient ways to protect their crops from weeds.
A session on "Digitalization of Agriculture" at Entrepreneurship Conclave organized by Shailesh J. Mehta School of Management, Indian Institute of Technology Bombay.
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.
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.
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.
Application of Machine Learning in AgricultureAman Vasisht
With the growing trend of machine learning, it is needless to say how machine learning can help reap benefits in agriculture. It will be boon for the farmer welfare.
Agriculture may be a major business and therefore the foundation of the economy. In 2016, the calculable worth additional by the agriculture business was calculable at but one percent people GDP. The U.S. Environmental Protection Agency (EPA) estimates that agriculture contributes regarding $ 330 billion annually to the economy.
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.
Machine Learning in Agriculture Module 1Prasenjit Dey
Discuss the opportunities of incorporation of machine learning in agriculture. Briefly discuss different machine learning strategies. Briefly discuss the ways of machine learning can be used
Artificial intelligence : Basics and application in AgricultureAditi Chourasia
Agriculture is the mainstay of Indian economy as about 60% of our population depends directly or indirectly on agriculture.Exploration of technology in digital world gave birth to a whole new field of making intelligent machines i.e. Artificial intelligence (AI). AI is making a huge impact in all domains of the industry. Every industry looking to automate certain jobs through the use of intelligent machinery. 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, AI is steadily emerging as part of the Agricultural industry’s technological evolution. The automation in agriculture is the main concern and the emerging subject across the world. AI in agriculture not only helping farmers to automate their farming but also shifts to precise cultivation for higher crop yield and better quality while using fewer resources.Technological advancement in the future will provide more useful applications to the sector helping the world deal with various farming challenges used to be faced in traditional agricultural practices.
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
AI bots in the agriculture field can harvest crops at a higher volume and faster pace than human laborers. By leveraging computer vision helps to monitor the weed and spray them. Thus, Artificial Intelligence is helping farmers find more efficient ways to protect their crops from weeds.
A session on "Digitalization of Agriculture" at Entrepreneurship Conclave organized by Shailesh J. Mehta School of Management, Indian Institute of Technology Bombay.
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.
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.
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.
Application of Machine Learning in AgricultureAman Vasisht
With the growing trend of machine learning, it is needless to say how machine learning can help reap benefits in agriculture. It will be boon for the farmer welfare.
Agriculture may be a major business and therefore the foundation of the economy. In 2016, the calculable worth additional by the agriculture business was calculable at but one percent people GDP. The U.S. Environmental Protection Agency (EPA) estimates that agriculture contributes regarding $ 330 billion annually to the economy.
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.
Machine Learning in Agriculture Module 1Prasenjit Dey
Discuss the opportunities of incorporation of machine learning in agriculture. Briefly discuss different machine learning strategies. Briefly discuss the ways of machine learning can be used
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.
Agriculture technology trends 2021: Collaborating tech with agricultureKaty Slemon
Explore how AI/ML, IoT, Blockchain, Automation, & GIS are disrupting Agriculture technology trends & why you should tread towards expanding your Agro business.
The artificial intelligence is supporting different sectors to boost their productivity. AI have helped overcome the challenges faced by several industries
Artificial intelligence is based on the principle that human intelligence can be defined in a way that a machine can easily mimic it and execute tasks, from the simplest to those that are even more complex. The goals of artificial intelligence include learning, reasoning, and perception.
“We’re at beginning of a golden age of AI. Recent advancements have already led to invention that previously lived in the realm of science fiction – and we have only scratched the surface of what’s possible”– JEFF BEZOS, Amazon CEO
Some examples, vision-recognition systems on self-driving cars, in the recommendation engines that suggest products you might like based on what you bought in the past, speech, and language recognition of the Siri virtual assistant on the Apple iPhone.
AI is making a huge impact in all domains of the industry. Every industry looking to automate certain jobs through the use of intelligent machinery. And a good Agriculture and farming are one of the oldest and most important professions in the world. It plays an important role in the economic sector. Worldwide, agriculture is a $5 trillion industry.
The global population is expected to reach more than nine billion by 2050 which will require an increase in agricultural production by 70% to fulfill the demand. As the world population is increasing due to which land water and resources becoming insufficient to continue the demand-supply chain. So, we need a smarter approach and become more efficient about how we farm and can be most productive
In this presentation, We will cover are challenges faced by farmers by using traditional methods of farming and how Artificial Intelligence is making a revolution in agriculture by replacing traditional methods by using more efficient methods and helping the world to become a better place.
Artificial Intelligence in agriculture not only helping farmers to automate their farming but also shifts to precise cultivation for higher crop yield and better quality while using fewer resources.
Companies involved in improving machine learning or Artificial Intelligence-based products or services like training data for agriculture, drone, and automated machine making will get technological advancement in the future will provide more useful applications to this sector helping the world deal with food production issues for the growing population.
The future of AI in farming largely depends on the adoption of AI solutions. Although some large-scale researches are in progress and some applications are already in the market, yet industry in agriculture is underserved. Moreover, creating predictive solutions to solve a real challenge faced by farmers in farming is still in progress at an early stage.
Agriculture engineering & industry revolution 4.01396Surjeet
Agricultural History and industry revolution 1,2,3 and 4 and what is emerging technology. Career Scope after B.Tech Agriculture Engineering.
so many other technology.
Expert consultation on the application of artificial intelligence in precisio...ExpertsConsult
Precision Agriculture is a modern farming concept that uses information technology to ensure that the crops are well maintained and to optimize their health and overall productivity.
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
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.
We will use 7 emotions namely - We have used 7 emotions namely - 'Angry', 'Disgust'濫, 'Fear', 'Happy', 'Neutral', 'Sad'☹️, 'Surprise' to train and test our algorithm using Convolution Neural Networks.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
1. Submitted By:
(S.No. 57 – Mayank Choudhary)
(Enrolment Number -
35515002818)
AI IN AGRICULTURE
1
AI in Agriculture
2. AI is making a huge impact in all domains of the industry. Every
industry looking to automate certain jobs through the use of
intelligent machinery. And a good Artificial Intelligence Course
Online is all you need to break into any industry. Even Agriculture!
Agriculture and farming are one of the oldest and most important
professions in the world. It plays an important role in the economic
sector. Worldwide, agriculture is a $5 trillion industry.
The global population is expected to reach more than nine billion by
2050 which will require an increase in agricultural production by 70%
to fulfill the demand. As the world population is increasing due to
which land water and resources becoming insufficient to continue the
demand-supply chain. So, we need a smarter approach and become
more efficient about how we farm and can be most productive
In this article, I will cover are challenges faced by farmers by using
traditional methods of farming and how Artificial Intelligence is
making a revolution in agriculture by replacing traditional methods by
using more efficient methods and helping the world to become a better
place.
3. Scope of technology
Artificial intelligence is based on the principle that human intelligence can be
defined in a way that a machine can easily mimic it and execute tasks, from the
simplest to those that are even more complex. The goals of artificial intelligence
include learning, reasoning, and perception.
The technologies which are AI-based help to improve efficiency in all the fields and
also manage the challenges faced by various industries including the various fields in
the agricultural sector like the crop yield, irrigation, soil content sensing, crop -
monitoring, weeding, crop establishment. Agricultural robots are built in order to
deliver high valued application of AI in the mentioned sector. With the global
population soaring, the agricultural sector is facing a crisis, but AI has the potential
to deliver much-needed solution. AI- based technological solutions has enabled the
farmers to produce more output with less input and even improved the quality of
output, also ensuring faster go-to- market for the yielded crops. By 2020, farmers
will be using 75 million connected devices. By 2050, the average farm is expected to
generate an average of 4.1 million data pointsevery day.
4. Applications of Artificial Intelligence in Agriculture
The industry is turning to Artificial Intelligence
technologies to help yield healthier crops, control
pests, monitor soil, and growing conditions, organize
data for farmers, help with the workload, and improve a
wide range of agriculture-related tasks in the entire
food supply chain.
Use of weather forecasting: With the change in
climatic condition and increasing pollution it’s difficult
for farmers to determine the right time for sowing seed,
with help of Artificial Intelligence farmers can analyze
weather conditions by using weather forecasting which
helps they plan the type of crop can be grown and when
should seeds be sown.
5. Soil and crop health monitoring system: The type of soil and nutrition of
soil plays an important factor in the type of crop is grown and the quality of
the crop. Due to increasing, deforestation soil quality is degrading and it’s
hard to determine the quality of the soil.
AI-based application can identify the nutrient deficiencies in soil including
plant pests and diseases by which farmers can also get an idea to use
fertilizer which helps to improve harvest quality. This app uses image
recognition-based technology.
6. Analyzing crop health by drones: SkySqurrel Technologies has brought
drone-based Ariel imaging solutions for monitoring crop health. In this
technique, the drone captures data from fields and then data is transferred
via a USB drive from the drone to a computer and analyzed by experts.
This company uses algorithms to analyze the captured images and provide a
detailed report containing the current health of the farm. It helps the farmer
to identify pests and bacteria helping farmers to timely use of pest control
and other methods to take required action
7. Challenges
Agriculture has been tackling significant difficulties
like absence of irrigation system, change in
temperature, density of groundwater, food scarcity
and wastage and substantially more. The fate of
cultivating depends to a great extent on reception of
various cognitive solutions. While large scale
research is still in progress and some applications are
already available in the market, the industry is still
highly underserved.
When it comes to handling realistic challenges faced
by farmers and using autonomous decision making
and predictive solutions to solve them, farming is
still at a nascent stage. In order to explore the
enormous scope of AI in agriculture, applications
need to be more robust.
8. Future Scope
Artificial Intelligence in agriculture not only helping
farmers to automate their farming but also shifts to
precise cultivation for higher crop yield and better
quality while using fewer resources.
Companies involved in improving machine learning or
Artificial Intelligence-based products or services like
training data for agriculture, drone, and automated
machine making will get technological advancement in
the future will provide more useful applications to this
sector helping the world deal with food production
issues for the growing population.