Need 10 different conversations (recordings) ?between me and 10 different people? please add additional 10 interviews to interviews22.docx. please dont repeat e

Participant: My name is acted Dr. J. Teddy , M.D., Ph.D. an expert in crop production. I have been in the field for 15 years and published a number of articles about crop production, he must be resourceful in explaining how AI can be used to enhance crop production.

Me: “How can AI be useful in agriculture.”

Participant: “A good number of farmers tend to perceive AI as a method used in the digital economy alone. It has been difficult for the farmers to understand that the method can also be applied in the rural areas and in the ordinary setup of the crop production. They should understand that AI can also be applied in the ordinary physical land.”

Me: What do you think is the rationale behind the farmers reasoning?

Participants: “The major rationale behind the farmers reasoning is because they feel conservative of the land and the method they are after. Lack of proper understanding is the major reason as to why the farmers have not embraced in AI tools.

Me: what is the impact of the emergence in technology?

Participant: “He further added that emergence of new technology tends to look expensive and confusing to the farmers who have limited resources which cannot help the venture into AgriTech. Although AI can be useful, there’s still a lot of work to be done by technology providers to help farmers implement it the right way.”

Me: “How can AI be used in analyzing market demands?”

Participant: “In response to the use of AI in analyzing market demand, the technology can be of great importance because it is capable of identifying the procedures that can be followed for maximum profitability. When it comes to the management of risks, farmers have the option of using artificial forecasting and predictive analytics in coming up with solutions which can be of great importance at a later time. This is crucial in minimizing possible risks that the crops can be subjected to and hence, maximizing the production within a given fixed time.”

Me: Can technology aid minimization of errors?

Participant: “Collection of information through artificial intelligence will minimize the possible errors which can be committed. Computers tend to be accurate in whatever they do when compared to humans. Data comparison using machines is faster and accurate hence, the adoption of AI.”

2nd Recording

Me: My name is <>, a student in the <> university, faculty of <> pursuing a program in <>. My study is based in the use of AI to better agriculture. Having done my research, I realized that there are a number of issues about AI in agriculture that are missing in the peer reviewed articles. Hence the rationale as to why I am undertaking this interview with to get to understand these issues better. I would wish to invite you for a knowledgeable discussion on the use of artificial intelligence in crop production. Welcome to the interview

Participant: Thank you. My name is Dr. Gathi.

Me: “The purpose of AI technology is finding mechanisms through which existing problems in the agriculture sector can be addressed. What are the major ways through which AI can solve issues related with the use of AI in crop production?”

Participants: “How AI can be applied to solve challenges faced in the agriculture sector.” He stated that “There are two major ways through which AI can be applied in solving farming challenges experienced in the low incomes countries. The first one is that AI can enable better decision making amongst farmers and secondly AI can save on costs and address labor shortages.”

Me: AI is known of being more computerized in terms of operations. How is this relevant to the farmers?

Participants: “Farmers have the choice of collecting and processing significantly more data, faster and efficiently with AI than when using ordinary methods. Besides, AI helps in executing market demand analysis forecast the possible prices that will yield maximum profit in the market. Besides, AI also can help the farmers determine the optimal sowing time, that is the right time when the farmers will win the harvest.”

Me: wonderful..

Participant: “ Incorporation AI comes with a number of cost saving activities which include farm management approach precision agriculture can help farmers grow more crops with fewer resources. AI is a poweful tool when it comes to precision agriculture, which is the next big thing in place now. With precision farming, farmers will be in a better position to combine the best soil management techniques with variable technology presently in place. This is also incorporated with the best management practices whose sole goal is ensuring that the farmers have the opportunity to clinch the maximum possible yields out of the work that they have done.”

Me: “How can AI give real-time results to farmers about their agricultural efforts?

Participants: “AI has the ability to provide the farmers with real-time insights from the fields. This significantly enables the farmers understand the need for irrigation, fertilization as well as the need to make use of pesticides in trying to treat any condition that might emerge. Innovative farming practices can be utilized fully if the farmers embrace AI. Such farming practices include vertical agriculture which directly increases the food production while minimizing the use of the available resources.”

4th Recording

Me: My name is <>, a student in the <> university, faculty of <> pursuing a program in <>. My study is based in the use of AI to better agriculture. Having done my research, I realized that there are a number of issues about AI in agriculture that are missing in the peer reviewed articles. Hence the rationale as to why I am undertaking this interview with to get to understand these issues better. I would wish to invite you for a discussion about the role of AI in addressing agricultural labor related issues. Welcome.

Participant: Thank you. My name is Dr. Young, an expert in crop production.

Me: How can AI be used to address labor issues in the agricultural sector?

Participant: . “Agricultural work is hard, and labor shortages in this industry are nothing new. Farmers can solve this problem with the help of automation. Driverless tractors, smart irrigation and fertilizing systems, smart spraying, vertical farming software, and AI-based robots for harvesting are some examples of how farmers can get the work done without having to hire more people. Compared with any human farm worker, AI-driven tools are faster, harder, and more accurate.”

Me: “How can AI address boredom and tediousness of agricultural based work?”

Participant: “Farming work is tedious and hectic. It is a tiresome job which many people would not want to stick with for longer periods. Besides, it is a kind of job which requires a lot of energy from the people. As people age, their energy keeps on decreasing and therefore, there is need to have fresh people who are energetic enough to do the task. Getting enough people to venture into the business has remained a difficult task.”

Me: Waoh… go ahead,..

Participant: “Adoption of AI which offers automated services is among the best ways through which the labor shortage thing can be addressed. It is almost impossible to compare machine capabilities with the human effort. There are features of the machine which humans do not have and therefore, adoption of AI will significantly reduce issues with labor shortages.”

Me: “What is the efficiency of AI when it comes to handling labor?”

Partcipants: “Machine efficiency cannot be compared with human efficiency when it comes to looking at the work output that need to be executed. Machines are far much better the humans because of the following four major reasons. The first one is that Ai equipment are versatile. They can do one task repeatedly without being fatigued or without being bored. This makes the efficiency of the machines very different from that of human beings.”

Me: “What is the second rationale?”

Participant: “The second rationale is that AI equipment are fast and accurate. Accuracy is one paramount thing that many human beings do not possess and for those who possess it, it is subject to few errors. This is different with machines. Provided they have been fed with the right instruction, the outcome will always be accurate whatsoever.”

5th Recording

Me: My name is <>, a student in the <> university, faculty of <> pursuing a program in <>. My study is based in the use of AI to better agriculture. Having done my research, I realized that there are a number of issues about AI in agriculture that are missing in the peer reviewed articles. Hence the rationale as to why I am undertaking this interview with to get to understand these issues better. I wanted to understand what has motivated them to incorporate AI into agricultural practices. Welcome.”

Participant: Thank you. My name is Dr. Guto, an agritech software developer.

Me: “What inspired your dream to revolutionize agriculture and change the future of farming?”

Participant: “I want to solve food-related problems. I talk about starting a revolution, but we need diversity that can be realized in many different countries and territories. What is a diverse revolution? What comes next after tractors? That’s what I have been trying to determine.”

Me: “ Have you gotten it?”

Participant: “The technology that would start a revolution has not yet been introduced; and when it is, cooperation of various companies will be essential so that it can be used in various farming circumstances. Kubota is one of those companies. I hope we can combine our cutting-edge knowledge and technologies to achieve the vision of ‘easier agriculture’ that enables stable, high-yield production of safe and secure food in any country or territory. Among all the crops grown on the globe, why did you settle with wheat crop yet it is not a stable food in many countries?”

Me: “What exact research is the organization concerned with?”

Participant: “ The research being conducted with the Global Wheat Dataset project is part of what is necessary to make agricultural machinery more intelligent in terms of assessing the growth of crops and performing the work needed at each step. This is in line with Kubota’s vision for the future of farming – providing a stable supply of safe and reliable food. The image dataset created for this project along with the models that won the competition will be made open source so they can serve as a common platform that people involved in farming around the world can use to improve agriculture. And the efforts to build this common platform are being supported by Kubota in the form of sponsorship.”

6th Interview

Me: My name is <>, a student in the <> university, faculty of <> pursuing a program in <>. My study is based in the use of AI to better agriculture. Having done my research, I realized that there are a number of issues about AI in agriculture that are missing in the peer reviewed articles. Hence the rationale as to why I am undertaking this interview with to get to understand these issues better. I wanted to understand what has motivated them to incorporate AI into agricultural practices. Welcome.

Participant: Thank you. My name is Dr. Jacob. I strongly believe that this is the right time for low income countries to shine with artificial intelligence.

Me: What do you mean by demystifying AI in agriculture

Participant: “Artificial intelligence still sounds very futuristic and has attracted a lot of hype. For many, this makes it feel out of reach and unapproachable. We need to remove this mystery and strip back to a simpler approach – AI is essentially a tool that can help to solve problems. Put like this, it is much easier to understand. Being clear about the problem you are trying to solve is also part of making it feel more attainable. That might mean describing and making sense of large, overwhelming data sets, or understanding a web of connections that are too complex for us to easily hold in our minds.”

Me: “What are the possible potential if we fully chose to make use of AI?”

Participant: “There is enormous potential to use AI to our benefit, for example to help us get to grips with some complex topics. For instance, it can help us to better understand a network of relationships in biological systems, which our brains alone struggle to cope with.” He further explained that “We need to highlight the many everyday examples of AI within the home or in the field to provide context. These include online shopping algorithms, digital maps and weather prediction software. We see the benefits here, and it doesn’t feel intimidating or threatening.”

Me: “What are you doing as a sector?”

Participant: “As a sector, showcasing examples that make life easier and then demonstrating their true impact provides a great opportunity to gain buy-in. Data alone does nothing, it’s when we use it to gain insight that it starts to provide value. So I think there is a really strong message to be shared around collaborative use of data. Data is everywhere within agriculture and the food chain, but how do we connect those pools together? How do we work together? When we start to think like this, we can identify gaps and opportunities, and find the real issues that need to be resolved in order to make these technologies work for us.”

7th Interview

Me: My name is <>, a student in the <> university, faculty of <> pursuing a program in <>. My study is based in the use of AI to better agriculture. Having done my research, I realized that there are a number of issues about AI in agriculture that are missing in the peer reviewed articles. Hence the rationale as to why I am undertaking this interview with to get to understand these issues better. Welcome.

Participant: Thank you. My name is Dr. Tony, an expert in agricultural sector working with an NGO based in Nigeria.

Me: “With your more than 12 years of experience, It’s clear to see why a corporate organization would want to integrate AI, but what is to be gained for everyone else?”

Participant: “Commercial industries can make obvious gains in terms of improving productivity and efficiency, but there is also huge potential to make wider environmental gains in areas such as improving biodiversity or soil health. The challenge here is that this area will probably have less financial impact for individual companies. The risk is that, despite the potentially huge non-financial impact, it might be seen as lower priority. We shouldn’t neglect this dimension and its value. You only have to look at the Government’s efforts towards COP26 later this year and the financial sector’s increasing focus on Environmental, Social, and Corporate Governance (ESG).”

Me: “I guess the question is how do we, as a society, want to drive this agenda?”

Participant: “ It does need more of a push. About your second question, I can say that he ACG Advisory Group is one of several ways that ACG brings together a diverse range of interests and voices to stimulate discussion. We have a great track record of using these opportunities to stimulate creativity and collaboration, resulting in fresh perspectives which lead to new opportunities for impact. Artificial Intelligence is a great example of a technology that urgently needs a diversity of perspectives to thinking through how we make it work for all. Through ACG’s collaborators and partners, we can open the topic up to a wider range of participants.”

Me: “Are there chances that agriculture sector will work with other sectors for human success?”

Participant: “More broadly than AI, it is time for agriculture as a whole to widen our horizons beyond our own sector and look at what other industries do. This fosters cross-sector learning. We can use the Advisory Group to invite ‘outsiders’ to share their success stories and challenges, allowing agriculture to find ways to build on these prior experiences rather than build everything from scratch. ACG and its partners are therefore well placed to make the most of this this cross-sector expertise and use it to help the industry tackle the many challenges on our to do list.”

8th Recording

Me: My name is <>, a student in the <> university, faculty of <> pursuing a program in <>. My study is based in the use of AI to better agriculture. Having done my research, I realized that there are a number of issues about AI in agriculture that are missing in the peer reviewed articles. Hence the rationale as to why I am undertaking this interview with to get to understand these issues better. Welcome.

Participant: “Thank you. My name is Dr. Telles had been in the fore front in advising farmers through to adopt AI in their daily agriculture operations, particularly farmers in the low-income countries.”

Me: “ What are the possible challenges that a farm or farmers can face while adopting AI”

Participant: , “Considering the benefits of artificial intelligence for sustainable farming, implementing this technology may look like a logical step for every farmer. However, there are still some serious constraints. The first challenge is lengthy technology adoption process. Farmers need to understand that AI is only an advanced part of simpler technologies for processing, gathering, and monitoring field data. AI requires a proper technology infrastructure for it to work. That’s why even those farms that already have some technology in place can find it difficult to move forward. This is also a challenge for software companies.”

Me: How can this challenge be addressed?”

Participant: “They should approach farmers gradually, giving them simpler technology first, such as an agriculture trading platform. Once farmers get used to a less complicated solution, it will be reasonable to step it up and offer something else, including AI features. Second Lack of experience with emerging technologies The agricultural sector in developing countries is different from the agricultural sector in Western Europe and the US. Some regions could benefit from artificial intelligence agriculture, but it may be hard to sell such technology in areas where agricultural technology is not common. Farmers will most likely need help adopting it.”

Me: “What advice would you give growing farmers in Agritech?”

Participant: “Therefore, tech companies hoping to do business in regions with emerging agricultural economies might need to take a proactive approach. In addition to providing their products, they’ll have to provide training and ongoing support for farmers and agribusiness owners who are ready to take on innovative solutions. The third possible problem is Privacy and security issues Since there are no clear policies and regulations around the use of AI not just in agriculture but in general, precision agriculture and smart farming raises various legal issues that often remain unanswered. Privacy and security threats like cyberattacks and data leaks may cause farmers serious problems. Unfortunately, many farms are vulnerable to these threats.”

9th Interview

Me : My name is <>, a student in the <> university, faculty of <> pursuing a program in <>. My study is based in the use of AI to better agriculture. Having done my research, I realized that there are a number of issues about AI in agriculture that are missing in the peer reviewed articles. Hence the rationale as to why I am undertaking this interview with to get to understand these issues better. Welcome.

Participant: Thank you. My name is Professor Loki, who is a specialist in Agritech with 25 years of experience.

Me: “How are other technologies used together with AI to better agricultural productivity?”

Participant: “AI can’t exist without other technologies already in place such as big data, sensors, and software. Likewise, other technologies need AI for them to function properly. For example, in the case of big data, the data itself is not particularly useful. What actually matters is how it’s processed and whether it’s relevant. The time, the place, and the selection criteria all determine whether AI recommendations based on a set of data are going to be helpful.”

Me: “Why should specialists be utilized?”

Participant: “That’s why it’s also important to have good data engineers and data analysts to make AI technology work. Let’s talk about the uses of artificial intelligence in farming in more detail. The first technology AI works hand in hand with is IoT sensors for capturing and analyzing data. Farmers can use IoT sensors and other supporting technology (e.g. drones, GIS, and other tools) to monitor, measure, and store data from fields on a variety of metrics in real time. By combining AI farming tools with IoT devices and software, farmers can get more accurate information faster. Better data means better decisions and less time and money spent on trial and error.”

Me: “ What is the other technology that is incorporated?”

Participants: “ The second technology is big data analytics. The real goal of producing and collecting data is putting it to use. In farming, data analytics can result in massive productivity increases and significant cost savings. By combining AI with big data, farmers can get valid recommendations based on well-sorted real-time information on crop needs. This, in turn, will take away the guesswork and enable more precise farming practices such as irrigation, fertilizing, crop protection, and harvesting. The third technology is automation and robotics. Artificial intelligence combined with autonomous tractors and IoT can solve one of the most common problems in farming: a shortage of labor.”

Me: “What is the cost implication of these technologies?”

Participants: “These technologies are also potentially cost-effective because they’re more accurate and thus reduce errors. Taken together, AI, autonomous tractors, and IoT are the key to precision agriculture. Another less common but rapidly growing technology is robotics. Agricultural robots are already being used for manual work, such as picking fruits and vegetables and thinning lettuce. The advantages of robots over farmworkers are considerable. They can work longer, are more precise, and are less prone to error.”

10th Interview

Me: My name is <>, a student in the <> university, faculty of <> pursuing a program in <>. My study is based in the use of AI to better agriculture. Having done my research, I realized that there are a number of issues about AI in agriculture that are missing in the peer reviewed articles. Hence the rationale as to why I am undertaking this interview with to get to understand these issues better. Welcome.

Participant: Thank you. My name is Professor Khan.

Me: “What is the reality vs the expectation as far as AI is incorporated in agricultural productivity?”

Participant: “With increasing popularity in artificial intelligence in various sectors of the economy, there are chances that the information available can be hyped. Some people might be supplying false information about AI, which might be diluting the real information. In light of this discovery, there is need to have a better understanding of AI reality versus the expectation. That is what has been attained and what is there in comparison to what is expected. Smart farming tools and vertical farming systems can perform small, repeatable, and time-consuming tasks so farm workers can use their time for more strategic operations that require human intelligence. However, it’s important to realize that unlike a tractor, one can’t just buy AI and start it. AI is not something tangible. It’s a set of technologies that are automated through programming.”

Me: What else do you have to add professor?

Participant: “Artificial intelligence is essentially a simulation of thinking; it’s learning and problem-solving based on data. AI is just the next step in the development of smart farming, and it needs other technology to actually work. In other words, to reap all the benefits of AI, farmers first need a technology infrastructure. It will take some time, possibly even years, to develop that infrastructure. But by doing so, farmers will be able to build a robust technology ecosystem that will stand the test of time.”

Me: “What can you advise technology providers?”

Participant: “For now, technology providers need to think about a few things: how to improve their tools, how to help farmers address their challenges, and how to easily and understandably convey that machine learning helps solve real struggles, such as reducing manual work. The future of AI in agriculture is bound to be fruitful. It is further expected that the following technologies will be the driving force and success factors of AI.”

Me: “What are the benefits of AI in agriculture?”

Participant: “The benefits of AI in agriculture are undeniable. Smart farming tools and vertical farming systems can perform small, repeatable, and time-consuming tasks so farm workers can use their time for more strategic operations that require human intelligence. However, it’s important to realize that unlike a tractor, one can’t just buy AI and start it. AI is not something tangible. It’s a set of technologies that are automated through programming. Artificial intelligence is essentially a simulation of thinking; it’s learning and problem-solving based on data. AI is just the next step in the development of smart farming, and it needs other technology to actually work. In other words, to reap all the benefits of AI, farmers first need a technology infrastructure.”

Me: “Is AI in agriculture a short term or long term plan?”

Participant: “ It will take some time, possibly even years, to develop that infrastructure. But by doing so, farmers will be able to build a robust technology ecosystem that will stand the test of time. For now, technology providers need to think about a few things: how to improve their tools, how to help farmers address their challenges, and how to easily and understandably convey that machine learning helps solve real struggles, such as reducing manual work. The future of AI in agriculture is bound to be fruitful.”