Are you looking to add Precision Agriculture to your arsenal of tools? Maybe for your business or personal use only, whatever it is – it’s always a good idea to know more about the most important Precision Agriculture statistics of 2024.
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How much of an impact will Precision Agriculture have on your day-to-day? or the day-to-day of your business? Should you invest in Precision Agriculture? We will answer all your Precision Agriculture related questions here.
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On this page, you’ll learn about the following:
Best Precision Agriculture Statistics
☰ Use “CTRL+F” to quickly find statistics. There are total 67 Precision Agriculture Statistics on this page 🙂Precision Agriculture Usage Statistics
- Soil sampling, for example, could include a number of methods although 75% of those reporting the use of soil sampling did indicate the usage of grid sampling procedures. [0]
Precision Agriculture Market Statistics
- A look at the distribution of precision farming worldwide shows North America as the major player with market value estimated at to 1.2 billion Euros in 2014. [1]
- In this segment, sensors will dominate the precision agriculture market in 2025 with a share of over 18%. [2]
- The high precision positioning systems held a dominant share of over 27% of the precision farming market in 2018 due to the extensive use of GPS and GNSS systems. [2]
- The yield monitoring application segment held a major portion of over 24% of the market in 2018. [2]
- The North America precision farming market is expected to hold a market share of over 32% by 2025 owing to mechanization and heavy dependence on technology for aiding agribusinesses. [2]
- North America is expected to hold a market share of over 32% by 2025 owing to mechanization and heavy dependence on technology for aiding agribusinesses. [2]
- The market size of the Precision Agriculture Systems & Services industry is expected to increase 6.6% in 2024. [3]
- The market size of the Precision Agriculture Systems & Services industry in the US has grown 3.7% per year on average between 2017 and 2024. [3]
Precision Agriculture Software Statistics
- As to data management practices, 47% of the farms collecting data use one or more data software products/services; 63% of farmers with 5000 acres or more use at least one data software product/service. [4]
Precision Agriculture Adoption Statistics
- Yield monitors and maps and GPS guidance systems were the next most common practices with more than 80% adoption rates. [0]
- In spite of the fact that VRT fertilizer was part of classic PA introduced commercially in North America in the early 1990s, adoption at the regional level rarely exceeds 20% of farms. [4]
- The VRT adoption estimates for specific groups of farmers may exceed 50% and approach the standard practice level. [4]
Precision Agriculture Latest Statistics
- The share of agricultural retailers in the United States that offer yield monitor data analysis is expected to grow from 51 percent in 2015 to 58 percent in 2018. [1]
- PDF Request Free Sample Industry Trends Precision Farming Market size in 2018 was over USD 4 billion and is estimated to grow at around 15% CAGR from 2019 to 2025. [2]
- Forecast Period2019 to 2025 Forecast Period 2019 to 2025 CAGR15%. [2]
- The industry share of precision farming is anticipated to grow at 15% CAGR between 2019 to 2025. [2]
- In terms of global production, China currently accounts for around 70%, while in Europe, Poland is the biggest producer with almost 300,000 tons [9], followed by the Netherlands. [5]
- Current cultivation methods can achieve an estimated yield of approximately 30 kilos per square meter, see details at http//www.mushroomidea.co.uk/aboutmushrooms/factsandfigures/index.cfm?articles_id=F1AE27D34AA44373B699. [5]
- Three main genera constitute approximately 75% of the world’s mushroom supply [8]. [5]
- Agaricus Bisporus , constitutes about 30%, while Pleurotus accounts for approximately 27%. [5]
- Lentinula edodes contributes another 17%. [5]
- They found that a partial least squares model considering additionally ammonia, carbon, hydrogen, Cu etc was able to explain almost 90% of this variation. [5]
- Fig 2 shows the density for YieldTotalkgsqm—a two sample t test provides no evidence at the 5% level for a difference in means. [5]
- Of these covariates, only Compostfilledkgsqm was found to be significant at the 5% level. [5]
- Fig 9 presents the estimated coefficient surface across the t, T dimensions for the VDFR with the oxygen functional covariate. [5]
- The regression with the Oxygen functional covariate has a high adjusted R2 of over 20%, and we have seen from the explanation above that its effect on yield is interpretable throughout the growing process. [5]
- Asterisks indicate that the covariate was found to be significant at the 5% level in the model, while the symbol. [5]
- Asterisks indicate that the covariate was found to be significant at the 5% level, whereas the daggers indicate significance at the 10% level. [5]
- The reports also went on to tell us that my colleague’s farm was below the bottom 25% of farms in our county in terms of yield. [6]
- Taste Tester Taste Tester 15% Taste Tester 85% Feed Research Aide Feed Research Aide 13% Feed Research Aide 87%. [7]
- The most common ethnicity among Precision Agriculture Specialists is White, which makes up 67.4% of all Precision Agriculture Specialists. [7]
- Comparatively, there are 14.5% of the Hispanic or Latino ethnicity and 7.4% of the Black or African American ethnicity. [7]
- White, 67.4% Hispanic or Latino, 14.5% Black or African American, 7.4% Asian, 6.7% Unknown, 2.5% American Indian and Alaska Native, 1.5%. [7]
- Using the Census Bureau data, we found out how the percentage of each ethnic category trended between 2010 2019 among Precision Agriculture Specialists. [7]
- Interestingly enough, the average age of Precision Agriculture Specialists is 40+ years old, which represents 43% of the population. [7]
- 61% of Precision Agriculture Specialists earn that degree. [7]
- A close second is Associate Degree with 27% and rounding it off is Master’s Degree with 5%. [7]
- Bachelors, 61% Associate, 27% Masters, 5% High School Diploma, 3%. [7]
- Other Degrees, 4% Precision Agriculture Specialist Wage Gap By Education Precision Agriculture Specialist Employment Statistics Company Size. [7]
- By looking over 112 Precision Agriculture Specialists resumes, we figured out that the average Precision Agriculture Specialist enjoys staying at their job for 3 4 years for a percentage of 23%. [7]
- Poultry Inseminator 12.45% Cotton Program Technician 10.08% Biologist 9.60% Chemical Laboratory Assistant 8.91% Environmental Scientist 8.32% Precision Agriculture Specialist 6.06% Profession. [7]
- Some aspects of it – soil sampling, autoguidance, yield mapping – are used in probably more than 10% of food production. [8]
- A seven year research programme in Brazil saw maize yields increase by an average of 14% and soybean by 10%. [8]
- According to NASA’s Landsat 7 Science Team , an optimum remote sensing system for precision farming would provide data as often as twice per week for irrigation scheduling and once every two weeks for general crop damage detection. [8]
- The areas with sand content less than 43% are where the clay content is greater than 25%, and they relate closely to the topography of the field. [8]
- The estimated coefficient surface from… Fig 9. [9]
- The estimated coefficient surface from… Fig 13. [9]
- The estimated coefficient surface from the VDFR with a single functional regressor . [9]
- Cuts through this surface of the estimated coefficient surface from the VDFR with… Fig 14. [9]
- Cuts through the estimated coefficient… Fig 15. [9]
- Cuts through the estimated coefficient surface for airtemperature from the VDFR with two… Fig 15. [9]
- Cuts through the estimated coefficient… Fig 16. [9]
- Cuts through the estimated coefficient surface for oxygen from the VDFR with two… Fig 16. [9]
- Of those acres, 47% were owneroperated, 26% were cash rented, 22% were crop. [0]
- Most of the responses (79%). [0]
- Producers responding to the survey have widely adopted many commonlyavailable technologies, including soil sampling (98%) and computer high speed internet access (94%). [0]
- Variable rate technology is also widely adopted at 68% among survey respondents although uses vary and include planting , fertilizer and lime , or irrigation. [0]
- Nearly 80% of survey respondents indicated that they managed their farm data although that does not necessarily suggest they do so exclusively. [0]
- Of those survey respondents who indicated they did not manage their data, more than 40% said their local cooperative or a consultant managed their data, while more than 5% said their equipment dealer or their seed dealer managed their data. [0]
- Nearly 95% of respondents indicated the investment in precision agriculture was worth it. [0]
- Many survey respondents were comfortable sharing their data with trusted partners, such as University researchers or educators (45%), relatives (39%), and local cooperatives (39%). [0]
- But more respondents trusted their data with “no one” (23%) than with equipment dealers (18%), equipment manufacturers (17%), or neighbors (13%). [0]
- In fact, 100% of respondents to the survey said they think the data belongs to the farmer. [0]
- Results indicate that a large proportion of farmers with 2000 or more operated acres collect yield monitor (approximately 75%), soil sample (approximately 85%) and imagery (close to 90%). [4]
- And the respondents appear to be very satisfied with the results – 72% report a positive yield impact from data driven seeding rate decisions; 81% from fertilizer decisions and 85% from drainage decisions. [4]
- In terms of data sharing, over 70% share their farm data with at least one service provider. [4]
I know you want to use Precision Agriculture Software, thus we made this list of best Precision Agriculture Software. We also wrote about how to learn Precision Agriculture Software and how to install Precision Agriculture Software. Recently we wrote how to uninstall Precision Agriculture Software for newbie users. Don’t forgot to check latest Precision Agriculture statistics of 2024.
Reference
- unl – https://agecon.unl.edu/cornhusker-economics/2015/precision-agriculture-usage-and-big-agriculture-data.
- statista – https://www.statista.com/topics/4134/smart-agriculture/.
- gminsights – https://www.gminsights.com/industry-analysis/precision-farming-market.
- ibisworld – https://www.ibisworld.com/industry-statistics/market-size/precision-agriculture-systems-services-united-states/.
- purdue – https://ag.purdue.edu/commercialag/home/resource/2021/02/the-value-of-data-information-and-the-payoff-of-precision-farming/.
- plos – https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0181921.
- precisionag – https://www.precisionag.com/digital-farming/data-management/opinion-benchmarking-in-precision-agriculture-is-big-statistics/.
- zippia – https://www.zippia.com/precision-agriculture-specialist-jobs/demographics/.
- wiley – https://rss.onlinelibrary.wiley.com/doi/full/10.1111/j.1740-9713.2013.00646.x.
- nih – https://pubmed.ncbi.nlm.nih.gov/28961254/.
How Useful is Precision Agriculture
One of the key aspects of precision agriculture is the ability to collect and analyze vast amounts of data on a field-by-field or even plant-by-plant basis. This granular level of information allows farmers to make well-informed decisions on when to irrigate, fertilize, apply pesticides, and harvest, based on the specific needs of their crops at any given point in time. By tailoring their practices to the unique conditions of each field, farmers can improve crop yields, reduce input costs, and minimize environmental impact.
Precision agriculture also enables farmers to better monitor and manage variability within their fields. Fields are rarely uniform in terms of soil type, moisture levels, nutrient levels, or pest pressures, and a one-size-fits-all approach to management may not be the most effective. By mapping and analyzing the variability within their fields, farmers can adopt a site-specific approach to managing their operations, adjusting practices to account for differences within the same field. This can lead to improved productivity and resource use efficiency.
Another benefit of precision agriculture is the ability to remotely monitor and control agricultural equipment and operations. For example, farmers can use drones to survey their fields and assess crop health and growth, allowing them to target problem areas for further investigation or treatment. Similarly, farmers can use automated systems to apply inputs like fertilizer or pesticides precisely where and when they are needed, reducing waste and minimizing the risk of over-application.
Overall, precision agriculture has the potential to revolutionize the way we produce food and manage our natural resources. By harnessing the power of technology and data analytics, farmers can optimize their practices to achieve higher yields, lower costs, and reduced environmental impact. However, the adoption of precision agriculture is not without its challenges.
One of the main barriers to widespread adoption of precision agriculture is the cost and complexity of implementing these technologies. Many farmers, especially small-scale or resource-constrained operations, may not have access to the necessary hardware, software, or expertise required to implement precision agriculture practices. Additionally, the rapid pace of technological advancement in the agriculture sector means that farmers may struggle to keep up with the latest developments and best practices in precision agriculture.
Furthermore, there are concerns about data privacy and ownership in precision agriculture. As farmers collect and share increasing amounts of data on their operations, including sensitive information like field boundaries, soil test results, and yield maps, there is a risk that this data could be misused or exploited by third parties. Farmers must carefully consider the implications of sharing their data, and ensure that they retain control over how it is used and protected.
In conclusion, while precision agriculture has tremendous potential to transform the agricultural sector and address the challenges of feeding a growing global population, there are still significant barriers to its widespread adoption. Farmers and policymakers must work together to address these challenges, ensuring that the benefits of precision agriculture are realized in a way that is both sustainable and equitable for all stakeholders.
In Conclusion
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