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Ai in farming
Artificial intelligence has the potential to help address challenges facing the agricultural sector as the global population increases. New technologies like drones, driverless tractors, automated irrigation, and machine learning are helping farmers monitor crops and soils, apply inputs precisely, and increase yields. Startups are developing tools using computer vision, satellites, and deep learning to diagnose plant health, predict weather, and optimize resource use. These AI solutions aim to help farmers "do more with less" and help feed the world's growing population in a sustainable way.
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Introduction to AI in farming, impact of the Fourth Industrial Revolution, and current agricultural challenges.
Explains digital farming and AI's role in innovative practices like drones and automated irrigation.
Focuses on robotics for weed control, emphasizing Blue River Technology's advancements and benefits.
Overview of Harvest CROO Robotics for strawberry harvesting, highlighting economic impacts and innovation.
Introduction of driverless tractors utilizing advanced software and technologies from Case IH and New Holland.
Benefits of automated irrigation systems, including cost efficiency, productivity, and environmental protection.
Technologies like PEAT and Trace Genomics for diagnosing soil health using machine learning.
FarmShots offers satellite monitoring for crops, enabling better fertilizer use and managing crop health.
SkySquirrel’s use of drone technology for crop analysis, focusing on vineyard health and yield improvement.
aWhere uses satellites and machine learning for weather prediction, enhancing crop sustainability.
AI's role in optimizing agriculture, addressing resource scarcity, and empowering farmers.
List of references cited for the presentation.
Thank you note to the audience.
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Ai in farming
- 1. Artificial Intelligence inFarming
- 2. Introduction • The FourthIndustrial Revolution has disrupted industry after industry. Better information flows, lower transaction costs and faster communication have made doing business easier and more efficient, and have proven to be major drivers of economic growth.
- 3. Introduction • Compared toother industries, the agricultural sector has been slow to implement and take advantage of the variety of technologies that are powering the Fourth Industrial Revolution. Fragmented rural markets, poor infrastructure and heavy regulatory burdens have raised costs for food systems, while revenue has been constrained by market dynamics and the increasing disparity between commercial farming and small farm owners.
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- 5. Why is allthis talk about AI necessary? • According to the UN Food and Agricultural Organization (FAO), the global population is set to reach 9.2 billion by the year 2050. – This means that the global agriculture sector is under more strain than ever with 2 billion more mouths to feed within the next 33 years! – With available acreage estimated at just an additional 4%, it seems it is no longer an option to simply plant more crop fields or breed more cattle. What is needed, therefore, is a greater efficiency within current farming methods as farmers will be required to ‘do more with less
- 6. The ways AIis shaping the farms of the future • Drones – Providing new ways of increasing crop yields through in-depth field analysis, long-distance crop spraying and high-efficiency crop monitoring, drone technology is quickly becoming invaluable for farmers. • Driverless tractors – Combining ever-more sophisticated software with ‘off-the-shelf’ technologies such as sensors, radars and GPS systems, farmers will soon be able to hand this century-old machine over to robots. • Automated irrigation systems – Thankfully, though, automated irrigation systems are designed to utilize real-time machine learning to constantly maintain desired soil conditions to increase average yields • Crop health monitoring – Conventional crop health monitoring methods are incredibly time-consuming and are generally categorical in nature.
- 7. : Agricultural Robotics • BlueRiver Technology – Weed Control – The ability to control weeds is a top priority for farmers and an ongoing challenge as herbicide resistance becomes more commonplace. – Today, an estimated 250 species of weeds have become resistance to herbicides. In a research study conducted by the Weed Science Society of America on the impact of uncontrolled weeds on corn and soybean crops, annual losses to farmers are estimated at $43 billion. – Еhe company claims that its precision technology eliminates 80 percent of the volume of chemicals normally sprayed on crops and can reduce herbicide expenditures by 90 percent
- 8. Blue River Technologies Smartsprayer Smart weed-killing robots
- 9. Harvest CROO Robotics– Crop Harvesting • Harvest CROO Robotics – Crop Harvesting – In the Hillsborough County, Florida region which has been described as the “nation’s winter strawberry capital,” between 10,000 and 11,000 acres of strawberries are typically harvested in a season. – Lack of laborers has reportedly led to millions of dollars of revenue losses – Developed a robot to help strawberry farmers pick and pack their crops.
- 10. Harvest CROO Robotics •In June 2017, Florida-based Wish Farms announced its implementation of Harvest CROO Robotics’ strawberry harvester in the summer of 2017.
- 11. AI -Driver LessTractor • Using ever-more sophisticated software coupled with off-the-shelf technology (sensors, radar, and GPS), the system allows an operator working a combine to set the course of a driverless tractor. • Case IH and New Holland both introduced their new autonomous tractors at 2016 Farm Progress Show
- 12. Automated Irrigation systems •EFFECT OF USAGE: – Reducing production costs of vegetables, making the industry more competitive and sustainable. – Maintaining (or increasing) average vegetable yields – Minimizing environmental impacts caused by excess applied water and subsequent agrichemical leaching. – Maintaining a desired soil water range in the root zone that is optimal for plant growth. – Low labor input for irrigation process maintenance – Substantial water saving compared to irrigation management based on average historical weather conditions.
- 13. Crop and SoilHealth Monitoring • PEAT – Machine Vision for Diagnosing Pests / Soil Defects Berlin-based agricultural tech startup PEAT, has developed a deep learning application called Plantix that reportedly identifies potential defects and nutrient deficiencies in soil. Analysis is conducted by software algorithms which correlate particular foliage patterns with certain soil defects, plant pests and diseases. The company claims that its software can rapidly achieve pattern detection with an estimated accuracy of up to 95 percent
- 14. Crop and SoilHealth Monitoring • Trace Genomics– Machine Learning for Diagnosing Soil Defects – Similar to the Plantix app, California-based Trace Genomics, provides soil analysis services to farmers. – Lead investor Illumina helped develop the system which uses machine learning to provide clients with a sense of their soil’s strengths and weaknesses. – After submitting a sample of their soil to Trace Genomics, users reportedly receive an in-depth summary of their soils contents.
- 15. Trace Genomics What’s Included?Disease Risk Test Fertility Test Comprehensive Test (Includes Disease Risk and Fertility) Bacterial Pathogen Fungal Pathogen Pathogen Detection Disease Risk Report Nutrient Cycling (N, P, & K) Fertility Indicators Fertility Report
- 16. Monitoring Crop Healthand Sustainability • FarmShots – Satellites for Monitoring Crop Health and Sustainability – Based in Raleigh, North Carolina, FarmShots is another startup focused on analyzing agricultural data derived from images captured by satellites and drones. – Specifically, the company aims to “detect diseases, pests, and poor plant nutrition on farms.” – The company claims that its software can inform users exactly where fertilizer is needed and can reduce the amount of fertilizer used by nearly 40 percent.
- 17. FarmShots • Hyperspectral imagingand 3D Laser Scanning, are capable of rapidly providing enhanced information and plant metrics across thousands of acres with the spatial resolution to delineate individual plots and/or plants and the temporal advantage of tracking changes throughout the growing cycle.
- 18. Drones – SkySquirrel TechnologiesInc. is one of the companies bringing drone technology to vineyards. – The company aims to help users improve their crop yield and to reduce costs. – Users pre-program the drone’s route and once deployed the device will leverage computer vision to record images which will be used for analysis. – SkySquirrel uses algorithms to integrate and analyze the captured images and data to provide a detailed report on the health of the vineyard, specifically the condition of grapevine leaves. • SkySquirrel Technologies Inc. – Drones and Computer Vision for Crop Analysis
- 19. Predictive Analytics • aWhere– Satellites for Weather Prediction and Crop Sustainability – aWhere, a Colorado based company uses machine learning algorithms in connection with satellites to predict weather, analyze crop sustainability and evaluate farms for the presence of diseases and pests. – Company provides its users with access to over a billion points of agronomic data on a daily basis. – Data sources include temperature, precipitation, wind speed, and solar radiation, “along with comparisons to historic values for anywhere on the agricultural earth.”
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- 21. Conclusion • AI canbe appropriate and efficacious in agriculture sector as it optimizes the resource use and efficiency. • It solves the scarcity of resources and labour to a large extent. Adoption of AI is quite useful in agriculture. • Artificial intelligence can be technological revolution and boom in agriculture to feed the increasing human population of world. • Artificial intelligence will complement and challenge to make right decision by farmers.
- 22. References 1. The futureof food and agriculture: Trends and challenges - Food and Agriculture Organization of the United Nations, ISSN 2522-722X, Rome, 2017 2. Blue River Technology: See & Spray Agricultural Machines - http://www.bluerivertechnology.com/ 3. Harvest Croo – Agricultural Robotics - https://harvestcroo.com/ 4. Plantix | Best Agriculture App - https://plantix.net 5. Trace Genomics - https://tracegenomics.com/ 6. FarmShots - http://farmshots.com/ 7. SkySquirrel Technologies - https://www.vineview.ca/ 8. aWhere: Agronomic Data & Agricultural Data Management - http://www.awhere.com/
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