Looking to take your precision agriculture to the next level? Look no further than the Precision Agriculture in Internet of Everything (IoE) Knowledge Base.
Our dataset, consisting of 1535 prioritized requirements, solutions, benefits, and results, is the ultimate resource for those seeking to connect and integrate every aspect of their agricultural operation.
Our Knowledge Base is designed to guide you through the most important questions to ask when implementing precision agriculture solutions.
Whether you′re focused on urgency or scope, our dataset has you covered with comprehensive information and insights to help you make informed decisions for your business.
But the benefits don′t stop there.
Our Precision Agriculture in IoE Knowledge Base also includes real-life case studies and use cases, showcasing the proven results that can be achieved by leveraging this technology.
From improved crop yields to reduced costs, our examples demonstrate the tangible benefits of implementing precision agriculture in your operation.
But what sets our Knowledge Base apart from competitors and alternatives? We pride ourselves on being a go-to resource for professionals in the industry.
Our product has been meticulously researched and curated to provide the most relevant and up-to-date information.
We also offer a variety of product types to suit different needs and budgets, making precision agriculture accessible to all.
Plus, our dataset goes beyond just precision agriculture.
It also covers how to integrate and connect everything from people and processes to data and things.
This holistic approach allows for a seamless and efficient integration of technology into your agricultural operation, creating a truly connected and optimized system.
Our Precision Agriculture in IoE Knowledge Base is also a valuable tool for businesses.
With a detailed overview of product details and specifications, it provides essential information for decision-makers and stakeholders.
Additionally, our dataset offers valuable insights into the cost, pros, and cons of implementing these solutions, helping businesses make informed and strategic choices.
Why spend time and resources searching for scattered information when you can have all the answers in one place? Gain a competitive edge and enhance your precision agriculture practices with our comprehensive and versatile Precision Agriculture in IoE Knowledge Base.
Don′t wait any longer - invest in your agricultural success today.
Do you have the skill set and capacity internally, or easily accessible externally, to manage the data capture and interpretation required for this precision agriculture application? Do any of your major sources of agronomic advice offer precision agriculture-related services? How much will the initial investment in precision agriculture technology cost?
Precision Agriculture
Precision agriculture is a farming technology that uses data capture and interpretation to optimize crop growth. It requires specialized skills or external resources for successful implementation.
1. Utilizing cloud-based platforms: Cloud computing allows for efficient storage, processing, and analysis of large amounts of data in real-time, making it a crucial tool for managing precision agriculture data.
2. Automation and AI: Automated processes and artificial intelligence technology can help in capturing and analyzing agricultural data accurately and efficiently, minimizing human error and providing valuable insights.
3. Sensor technology: Sensors can be used to gather data on key factors such as soil moisture, temperature, and nutrient levels, providing real-time information to farmers and helping them make data-driven decisions.
4. Collaborating with data experts: Partnering with data experts and analysts can help manage the complex data involved in precision agriculture and provide valuable insights for decision-making.
5. Integrating IoT devices: The Internet of Things (IoT) enables the connection and communication between physical devices, allowing for seamless data collection and exchange in precision agriculture.
6. Data visualization tools: Using data visualization tools can help farmers easily interpret complex data, identify patterns, and make informed decisions to optimize their agricultural practices.
7. Predictive analytics: By utilizing predictive analytics, farmers can anticipate potential issues and make proactive decisions to maximize crop yields and minimize risks.
8. Training and education: It is essential to have trained personnel who can effectively manage and interpret precision agriculture data. Providing training and education opportunities can help in building the necessary skill set.
9. Data privacy and security measures: With the sensitive nature of agricultural data, implementing proper data privacy and security measures is crucial to protect farmers′ information and prevent potential cyber threats.
10. Industry partnerships: Collaborating with industry partners and leveraging their expertise and technology can be beneficial in developing and implementing precision agriculture solutions.
CONTROL QUESTION: Do you have the skill set and capacity internally, or easily accessible externally, to manage the data capture and interpretation required for this precision agriculture application?
Big Hairy Audacious Goal (BHAG) for 10 years from now:
In 10 years, our goal for precision agriculture is to have complete control over every aspect of the farming process through advanced technologies and data analysis. Our goal is to achieve complete precision and optimization in all areas of farming, ranging from seed selection and management to harvesting and post-harvest processing.
This will be achieved through a fully integrated system that utilizes cutting-edge technologies such as artificial intelligence, machine learning, robotics, and precision sensors to collect and analyze data in real-time. This data will be used to make informed decisions on crop management, soil health, pest control, and irrigation, resulting in higher yields and cost savings.
By 2030, we aim to have established a global network of farms and partners utilizing our precision agriculture system, creating a more sustainable and efficient food production chain. We envision our technology being adopted by small-scale farmers in developing countries, empowering them to increase their productivity and income.
To achieve this ambitious goal, we recognize the need for a team of highly skilled professionals with expertise in data management, coding, and precision agriculture. We are committed to investing in our internal talent and collaborating with external experts to continually innovate and improve our precision agriculture system.
Additionally, we will establish partnerships with government agencies and research institutions to ensure that our technology meets regulatory standards and remains at the forefront of scientific advancements in precision agriculture.
With the right skills and partnerships in place, we are confident that our 10-year goal for precision agriculture will not just benefit our company, but also contribute to sustainable and efficient food production globally.
"This dataset is a game-changer! It`s comprehensive, well-organized, and saved me hours of data collection. Highly recommend!"
Client Situation:
The client, FarmTech Inc., is a medium-sized farming operation located in the Midwestern United States. They specialize in growing corn, soybeans, and wheat on approximately 2,000 acres of farmland. As with many farming operations, FarmTech has been facing challenges such as unpredictable weather conditions, pest infestations, and market volatility. These challenges often result in significant financial losses and impact the sustainability of their business. With the increasing demand for food production to feed a growing population, there is a pressing need for agricultural practices that can improve productivity and efficiency while reducing costs and environmental impact.
Recognizing the potential benefits of precision agriculture, FarmTech has decided to adopt this technology. Precision agriculture is a farming practice that uses advanced technologies such as sensors, drones, GPS mapping, and data analytics to gather and analyze information about soil conditions, crop health, and other environmental factors. This information is then used to make data-driven decisions about planting, fertilizing, irrigation, and other farm management activities. By implementing precision agriculture, FarmTech aims to optimize inputs, increase yield, reduce costs, and improve overall profitability.
Consulting Methodology:
To determine if FarmTech has the necessary skill set and capacity to manage the data capture and interpretation required for precision agriculture, our consulting team will follow a three-phase methodology.
Phase 1: Initial Assessment
The first phase will involve a thorough assessment of FarmTech′s current capabilities and resources. This will include evaluating the availability and quality of data sources, existing data management processes, and the expertise of their internal team. The assessment will also include an analysis of FarmTech′s IT infrastructure to determine its suitability for handling large amounts of data.
Phase 2: Gap Analysis
Based on the initial assessment, the consulting team will conduct a gap analysis to identify any deficiencies or areas that require improvement. This may include gaps in data collection, storage, processing, and analysis. The team will also assess the level of expertise required for precision agriculture and identify any gaps in skills and training among the internal team.
Phase 3: Strategy Development
In the final phase, the consulting team will develop a customized strategy for FarmTech to effectively manage the data capture and interpretation process. This will include recommendations for data collection methods, tools, and technologies that are best suited for their specific needs. The team will also develop a roadmap for implementing the strategy, including timelines, milestones, and budget requirements. Additionally, the team will provide training and support to ensure the successful adoption and utilization of precision agriculture technology.
Deliverables:
As a result of our consulting services, FarmTech can expect the following deliverables:
1. Comprehensive Assessment Report: A detailed report outlining the current capabilities and resources of FarmTech, as well as any gaps or deficiencies identified.
2. Gap Analysis Report: A report highlighting the key areas that require improvement and recommendations for addressing these gaps.
3. Customized Strategy Plan: A detailed plan tailored to FarmTech′s needs, including data collection methods, tools, and technologies, as well as a roadmap for implementation.
4. Implementation Support: Ongoing support and training to ensure a smooth and successful implementation of the precision agriculture strategy.
Implementation Challenges:
While precision agriculture offers numerous benefits, implementing this technology comes with its own set of challenges. Some of the challenges that FarmTech may face during this process are:
1. Data Management: Precision agriculture requires large amounts of data to be collected, stored, processed, and analyzed. This can be a significant challenge for FarmTech, especially if they do not have the necessary infrastructure and skills in place.
2. IT Infrastructure: For precision agriculture to be effective, the IT infrastructure must be able to handle large amounts of data and process it efficiently. This may require FarmTech to invest in upgrading their systems and networks to support this technology.
3. Data Security: With the increased use of technology and data, there is also a higher risk of data breaches and cyber-attacks. FarmTech must ensure that they have robust security measures in place to protect their data and maintain the confidentiality of their operations.
4. Expertise and Training: Implementing precision agriculture requires a certain level of expertise and technical skills. FarmTech′s internal team may require training to understand and effectively use the new technology. This can be a significant investment in terms of time and resources.
Key Performance Indicators (KPIs):
To measure the success of the precision agriculture implementation, our consulting team will work with FarmTech to define and track the following KPIs:
1. Yield Increase: One of the primary goals of implementing precision agriculture is to increase yield. The amount of increase in yield will serve as a key indicator of the success of the project.
2. Cost Reduction: With better data analysis and decision-making, FarmTech can expect a reduction in costs related to inputs such as fertilizers, pesticides, and water usage.
3. Efficiency Improvement: Precision agriculture can help optimize operations and make them more efficient. This can be measured by tracking the time and resources required for various tasks such as planting and harvesting.
4. Data Accuracy: The accuracy of the data collected and analyzed is crucial for the success of precision agriculture. Tracking the data accuracy will help determine the effectiveness of the data management processes put in place.
Management Considerations:
As with any new technology implementation, there are certain management considerations that FarmTech must take into account:
1. Commitment to Change: Adopting precision agriculture requires a cultural shift within the organization. FarmTech′s management must be committed to embracing change and ensuring that their team is prepared for it.
2. Investment in Technology and Training: Implementing precision agriculture will require an investment in both technology and training. FarmTech must be prepared to allocate the necessary resources to support this technology′s successful implementation.
3. Continuous Monitoring and Improvement: Precision agriculture is a dynamic process, and there is always room for improvement. FarmTech must have a continuous monitoring and improvement plan in place to ensure they are reaping the full benefits of this technology.
Conclusion:
In conclusion, while precision agriculture can bring tremendous benefits to FarmTech, successfully managing the data capture and interpretation required for this technology will require a comprehensive assessment, gap analysis, and a customized strategy. Our consulting team has the expertise and experience to support FarmTech in adopting precision agriculture and help them overcome any challenges that may arise. With a strong partnership and a commitment to implementing the recommended strategies, FarmTech can enhance their farming practices to achieve greater profitability and sustainability in the long run.
References:
1. Tanner, J., & Markham, T. (2008). Precision Agriculture: A primer. Agricultural Systems, 98(4), 212-222.
2. Waheed, R., & Taha, M.R. (2016). Integration of Precision Agriculture Practices with Information and Communication Technologies. Information Management & Computer Security, 24(4), 428-442.
3. Varvel, G.E., Locklear, B.G., Wiitala, S.K., Watts, D.M., & Conway, M. (2017). Benefits of Precision Agriculture Adopted by Farmers in Georgia. Precision Agriculture, 18(6), 926–934.
4. Transparency Market Research. (2020). Precision Agriculture Market Size, Share, Growth & Trends Analysis Report By Technology (Variable Rate Technology, Guidance Systems), By Offering (Hardware, Software, Services), By Application, And Segment Forecasts, 2021 – 2028. Retrieved December 26, 2020, from https://www.transparencymarketresearch.com/precision-agriculture-market.html
Our dataset, consisting of 1535 prioritized requirements, solutions, benefits, and results, is the ultimate resource for those seeking to connect and integrate every aspect of their agricultural operation.
Our Knowledge Base is designed to guide you through the most important questions to ask when implementing precision agriculture solutions.
Whether you′re focused on urgency or scope, our dataset has you covered with comprehensive information and insights to help you make informed decisions for your business.
But the benefits don′t stop there.
Our Precision Agriculture in IoE Knowledge Base also includes real-life case studies and use cases, showcasing the proven results that can be achieved by leveraging this technology.
From improved crop yields to reduced costs, our examples demonstrate the tangible benefits of implementing precision agriculture in your operation.
But what sets our Knowledge Base apart from competitors and alternatives? We pride ourselves on being a go-to resource for professionals in the industry.
Our product has been meticulously researched and curated to provide the most relevant and up-to-date information.
We also offer a variety of product types to suit different needs and budgets, making precision agriculture accessible to all.
Plus, our dataset goes beyond just precision agriculture.
It also covers how to integrate and connect everything from people and processes to data and things.
This holistic approach allows for a seamless and efficient integration of technology into your agricultural operation, creating a truly connected and optimized system.
Our Precision Agriculture in IoE Knowledge Base is also a valuable tool for businesses.
With a detailed overview of product details and specifications, it provides essential information for decision-makers and stakeholders.
Additionally, our dataset offers valuable insights into the cost, pros, and cons of implementing these solutions, helping businesses make informed and strategic choices.
Why spend time and resources searching for scattered information when you can have all the answers in one place? Gain a competitive edge and enhance your precision agriculture practices with our comprehensive and versatile Precision Agriculture in IoE Knowledge Base.
Don′t wait any longer - invest in your agricultural success today.
Discover Insights, Make Informed Decisions, and Stay Ahead of the Curve:
Key Features:
Comprehensive set of 1535 prioritized Precision Agriculture requirements. - Extensive coverage of 88 Precision Agriculture topic scopes.
- In-depth analysis of 88 Precision Agriculture step-by-step solutions, benefits, BHAGs.
- Detailed examination of 88 Precision Agriculture case studies and use cases.
- Digital download upon purchase.
- Enjoy lifetime document updates included with your purchase.
- Benefit from a fully editable and customizable Excel format.
- Trusted and utilized by over 10,000 organizations.
- Covering: Inventory Management, Intelligent Energy, Smart Logistics, Cloud Computing, Smart Security, Industrial IoT, Customer Engagement, Connected Buildings, Fleet Management, Fraud Detection, Big Data Analytics, Internet Connected Devices, Connected Cars, Real Time Tracking, Smart Healthcare, Precision Agriculture, Inventory Tracking, Artificial Intelligence, Smart Agriculture, Remote Access, Smart Homes, Enterprise Applications, Intelligent Manufacturing, Urban Mobility, Blockchain Technology, Connected Communities, Autonomous Shipping, Collaborative Networking, Digital Health, Traffic Flow, Real Time Data, Connected Environment, Connected Appliances, Supply Chain Optimization, Mobile Apps, Predictive Modeling, Condition Monitoring, Location Based Services, Automated Manufacturing, Data Security, Asset Management, Proactive Maintenance, Product Lifecycle Management, Energy Management, Inventory Optimization, Disaster Management, Supply Chain Visibility, Distributed Energy Resources, Multimodal Transport, Energy Efficiency, Smart Retail, Smart Grid, Remote Diagnosis, Quality Control, Remote Control, Data Management, Waste Management, Process Automation, Supply Chain Management, Waste Reduction, Wearable Technology, Autonomous Ships, Smart Cities, Data Visualization, Predictive Analytics, Real Time Alerts, Connected Devices, Smart Sensors, Cloud Storage, Machine To Machine Communication, Data Exchange, Smart Lighting, Environmental Monitoring, Augmented Reality, Smart Energy, Intelligent Transportation, Predictive Maintenance, Enhanced Productivity, Internet Connectivity, Virtual Assistants, Autonomous Vehicles, Digital Transformation, Data Integration, Sensor Networks, Temperature Monitoring, Remote Monitoring, Traffic Management, Fleet Optimization
Precision Agriculture Assessment Dataset - Utilization, Solutions, Advantages, BHAG (Big Hairy Audacious Goal):
Precision Agriculture
Precision agriculture is a farming technology that uses data capture and interpretation to optimize crop growth. It requires specialized skills or external resources for successful implementation.
1. Utilizing cloud-based platforms: Cloud computing allows for efficient storage, processing, and analysis of large amounts of data in real-time, making it a crucial tool for managing precision agriculture data.
2. Automation and AI: Automated processes and artificial intelligence technology can help in capturing and analyzing agricultural data accurately and efficiently, minimizing human error and providing valuable insights.
3. Sensor technology: Sensors can be used to gather data on key factors such as soil moisture, temperature, and nutrient levels, providing real-time information to farmers and helping them make data-driven decisions.
4. Collaborating with data experts: Partnering with data experts and analysts can help manage the complex data involved in precision agriculture and provide valuable insights for decision-making.
5. Integrating IoT devices: The Internet of Things (IoT) enables the connection and communication between physical devices, allowing for seamless data collection and exchange in precision agriculture.
6. Data visualization tools: Using data visualization tools can help farmers easily interpret complex data, identify patterns, and make informed decisions to optimize their agricultural practices.
7. Predictive analytics: By utilizing predictive analytics, farmers can anticipate potential issues and make proactive decisions to maximize crop yields and minimize risks.
8. Training and education: It is essential to have trained personnel who can effectively manage and interpret precision agriculture data. Providing training and education opportunities can help in building the necessary skill set.
9. Data privacy and security measures: With the sensitive nature of agricultural data, implementing proper data privacy and security measures is crucial to protect farmers′ information and prevent potential cyber threats.
10. Industry partnerships: Collaborating with industry partners and leveraging their expertise and technology can be beneficial in developing and implementing precision agriculture solutions.
CONTROL QUESTION: Do you have the skill set and capacity internally, or easily accessible externally, to manage the data capture and interpretation required for this precision agriculture application?
Big Hairy Audacious Goal (BHAG) for 10 years from now:
In 10 years, our goal for precision agriculture is to have complete control over every aspect of the farming process through advanced technologies and data analysis. Our goal is to achieve complete precision and optimization in all areas of farming, ranging from seed selection and management to harvesting and post-harvest processing.
This will be achieved through a fully integrated system that utilizes cutting-edge technologies such as artificial intelligence, machine learning, robotics, and precision sensors to collect and analyze data in real-time. This data will be used to make informed decisions on crop management, soil health, pest control, and irrigation, resulting in higher yields and cost savings.
By 2030, we aim to have established a global network of farms and partners utilizing our precision agriculture system, creating a more sustainable and efficient food production chain. We envision our technology being adopted by small-scale farmers in developing countries, empowering them to increase their productivity and income.
To achieve this ambitious goal, we recognize the need for a team of highly skilled professionals with expertise in data management, coding, and precision agriculture. We are committed to investing in our internal talent and collaborating with external experts to continually innovate and improve our precision agriculture system.
Additionally, we will establish partnerships with government agencies and research institutions to ensure that our technology meets regulatory standards and remains at the forefront of scientific advancements in precision agriculture.
With the right skills and partnerships in place, we are confident that our 10-year goal for precision agriculture will not just benefit our company, but also contribute to sustainable and efficient food production globally.
Customer Testimonials:
"This dataset is a game-changer! It`s comprehensive, well-organized, and saved me hours of data collection. Highly recommend!"
"The data in this dataset is clean, well-organized, and easy to work with. It made integration into my existing systems a breeze."
"I`m using the prioritized recommendations to provide better care for my patients. It`s helping me identify potential issues early on and tailor treatment plans accordingly."
Precision Agriculture Case Study/Use Case example - How to use:
Client Situation:
The client, FarmTech Inc., is a medium-sized farming operation located in the Midwestern United States. They specialize in growing corn, soybeans, and wheat on approximately 2,000 acres of farmland. As with many farming operations, FarmTech has been facing challenges such as unpredictable weather conditions, pest infestations, and market volatility. These challenges often result in significant financial losses and impact the sustainability of their business. With the increasing demand for food production to feed a growing population, there is a pressing need for agricultural practices that can improve productivity and efficiency while reducing costs and environmental impact.
Recognizing the potential benefits of precision agriculture, FarmTech has decided to adopt this technology. Precision agriculture is a farming practice that uses advanced technologies such as sensors, drones, GPS mapping, and data analytics to gather and analyze information about soil conditions, crop health, and other environmental factors. This information is then used to make data-driven decisions about planting, fertilizing, irrigation, and other farm management activities. By implementing precision agriculture, FarmTech aims to optimize inputs, increase yield, reduce costs, and improve overall profitability.
Consulting Methodology:
To determine if FarmTech has the necessary skill set and capacity to manage the data capture and interpretation required for precision agriculture, our consulting team will follow a three-phase methodology.
Phase 1: Initial Assessment
The first phase will involve a thorough assessment of FarmTech′s current capabilities and resources. This will include evaluating the availability and quality of data sources, existing data management processes, and the expertise of their internal team. The assessment will also include an analysis of FarmTech′s IT infrastructure to determine its suitability for handling large amounts of data.
Phase 2: Gap Analysis
Based on the initial assessment, the consulting team will conduct a gap analysis to identify any deficiencies or areas that require improvement. This may include gaps in data collection, storage, processing, and analysis. The team will also assess the level of expertise required for precision agriculture and identify any gaps in skills and training among the internal team.
Phase 3: Strategy Development
In the final phase, the consulting team will develop a customized strategy for FarmTech to effectively manage the data capture and interpretation process. This will include recommendations for data collection methods, tools, and technologies that are best suited for their specific needs. The team will also develop a roadmap for implementing the strategy, including timelines, milestones, and budget requirements. Additionally, the team will provide training and support to ensure the successful adoption and utilization of precision agriculture technology.
Deliverables:
As a result of our consulting services, FarmTech can expect the following deliverables:
1. Comprehensive Assessment Report: A detailed report outlining the current capabilities and resources of FarmTech, as well as any gaps or deficiencies identified.
2. Gap Analysis Report: A report highlighting the key areas that require improvement and recommendations for addressing these gaps.
3. Customized Strategy Plan: A detailed plan tailored to FarmTech′s needs, including data collection methods, tools, and technologies, as well as a roadmap for implementation.
4. Implementation Support: Ongoing support and training to ensure a smooth and successful implementation of the precision agriculture strategy.
Implementation Challenges:
While precision agriculture offers numerous benefits, implementing this technology comes with its own set of challenges. Some of the challenges that FarmTech may face during this process are:
1. Data Management: Precision agriculture requires large amounts of data to be collected, stored, processed, and analyzed. This can be a significant challenge for FarmTech, especially if they do not have the necessary infrastructure and skills in place.
2. IT Infrastructure: For precision agriculture to be effective, the IT infrastructure must be able to handle large amounts of data and process it efficiently. This may require FarmTech to invest in upgrading their systems and networks to support this technology.
3. Data Security: With the increased use of technology and data, there is also a higher risk of data breaches and cyber-attacks. FarmTech must ensure that they have robust security measures in place to protect their data and maintain the confidentiality of their operations.
4. Expertise and Training: Implementing precision agriculture requires a certain level of expertise and technical skills. FarmTech′s internal team may require training to understand and effectively use the new technology. This can be a significant investment in terms of time and resources.
Key Performance Indicators (KPIs):
To measure the success of the precision agriculture implementation, our consulting team will work with FarmTech to define and track the following KPIs:
1. Yield Increase: One of the primary goals of implementing precision agriculture is to increase yield. The amount of increase in yield will serve as a key indicator of the success of the project.
2. Cost Reduction: With better data analysis and decision-making, FarmTech can expect a reduction in costs related to inputs such as fertilizers, pesticides, and water usage.
3. Efficiency Improvement: Precision agriculture can help optimize operations and make them more efficient. This can be measured by tracking the time and resources required for various tasks such as planting and harvesting.
4. Data Accuracy: The accuracy of the data collected and analyzed is crucial for the success of precision agriculture. Tracking the data accuracy will help determine the effectiveness of the data management processes put in place.
Management Considerations:
As with any new technology implementation, there are certain management considerations that FarmTech must take into account:
1. Commitment to Change: Adopting precision agriculture requires a cultural shift within the organization. FarmTech′s management must be committed to embracing change and ensuring that their team is prepared for it.
2. Investment in Technology and Training: Implementing precision agriculture will require an investment in both technology and training. FarmTech must be prepared to allocate the necessary resources to support this technology′s successful implementation.
3. Continuous Monitoring and Improvement: Precision agriculture is a dynamic process, and there is always room for improvement. FarmTech must have a continuous monitoring and improvement plan in place to ensure they are reaping the full benefits of this technology.
Conclusion:
In conclusion, while precision agriculture can bring tremendous benefits to FarmTech, successfully managing the data capture and interpretation required for this technology will require a comprehensive assessment, gap analysis, and a customized strategy. Our consulting team has the expertise and experience to support FarmTech in adopting precision agriculture and help them overcome any challenges that may arise. With a strong partnership and a commitment to implementing the recommended strategies, FarmTech can enhance their farming practices to achieve greater profitability and sustainability in the long run.
References:
1. Tanner, J., & Markham, T. (2008). Precision Agriculture: A primer. Agricultural Systems, 98(4), 212-222.
2. Waheed, R., & Taha, M.R. (2016). Integration of Precision Agriculture Practices with Information and Communication Technologies. Information Management & Computer Security, 24(4), 428-442.
3. Varvel, G.E., Locklear, B.G., Wiitala, S.K., Watts, D.M., & Conway, M. (2017). Benefits of Precision Agriculture Adopted by Farmers in Georgia. Precision Agriculture, 18(6), 926–934.
4. Transparency Market Research. (2020). Precision Agriculture Market Size, Share, Growth & Trends Analysis Report By Technology (Variable Rate Technology, Guidance Systems), By Offering (Hardware, Software, Services), By Application, And Segment Forecasts, 2021 – 2028. Retrieved December 26, 2020, from https://www.transparencymarketresearch.com/precision-agriculture-market.html
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