What is precision agriculture technology


Precision agriculture is a farming management concept based on observing, measuring and responding to variability in crops. These variabilities contain many components that can be difficult to compute and as a result technology has advanced to off-set these difficulties.


What can precision agriculture do for You?

Precision agriculture can actively contribute to food security and safety. Producing more agricultural food crops with lesser input with precision agriculture technologies compared to traditional methods has reduced food insecurity. Such technologies make farming transparent by improving record keeping, food traceability and documentation.

Which cameras can be used for precision agriculture?

Which cameras can be used for precision agriculture. There are two major types of cameras that can be used for estimating the health of plants: multispectral and modified cameras. Pix4Dmapper can process both types of imagery, the choice of filter/band depends entirely on the intent.

What is precision agriculture all about?

Precision agriculture is an approach to farming that employs data sensors, connected devices, remote control tools, and other advanced technologies to give farmers more control over the field and the team.

How does precision agriculture work?

  • Sensors. They have the capacity to detect a range of biomolecular, chemical, optical, thermal, electrical, radiation, and biological metrics to get a 360-degree view on the health of crops. …
  • Precision farming software. Controller tools are widely used in IoT-based precision agriculture technology. …
  • Connectivity protocols. …
  • Location monitoring tools. …

What is precision agriculture examples?

Some examples of precision agriculture include drones, Global Positioning Systems (GPS) and irrigation technologies. The goal of precision agriculture is to learn new management practices to increase the profitability of agriculture production. “The core of my research assists farmers to maximize their profitability.

What are the benefits of precision agriculture Tech?

Precision agriculture leverages technologies to enhance sustainability through more efficient use of land, water, fuel, fertilizer and pesticides. Essentially, farmers who use precision agriculture technologies use less to grow more, reducing both cost and environmental impact.

How is precision agriculture used?

This technology allows growers to observe the yield health using satellite images. They provide up-to-date information on moisture stress, disease, structural anomalies, and nutrient levels. Modern precision agriculture satellite imagery has a high spectral resolution, allowing growers to get the most accurate data.

Who uses precision agriculture?

That much was made clear in the USDA’s recent survey, where only four states saw precision-ag adoption on more than half its farms: Iowa (52% adoption), Nebraska (51%), North Dakota (54%) and South Dakota (53%), all major corn or wheat producers that rely heavily on state-of-the-art, GPS-equipped combines.

How does precision agriculture help farmers?

Precision agriculture gives farmers the ability to more effectively use crop inputs including fertilizers, pesticides, tillage and irrigation water. More effective use of inputs means greater crop yield and(or) quality, without polluting the environment.

What is precision agriculture PDF?

Precision agriculture is the term given to crop management methods which recognise and manage within-paddock spatial and temporal variations in the soil–plant–atmosphere system.

How can lasers help farmers?

The result can be a boon for farmers and holds great potential for making agriculture more sustainable and increasing food availability. Big Data Down on the Farm.

Why do farmers use drones?

Aside from crop dusting, drones will be able to take continuous shots of crops so farmers can monitor plant health without sending scouts out into the fields. This would allow for more controlled, precise fungicide and insecticide application. Japan has already started using drones to spray their rice fields. By 2010, drones sprayed 30 percent of Japanese rice fields with pesticides. “The Japanese farm hectares sprayed by manned helicopters dropped from 1,328 in 1995 to 57 in 2011, as unmanned helicopter spray rose to 1,000 hectares that year,” according to Wired. The consensus seems to be that American farming will adopt drones rapidly as well if they are approved for widespread use.

How is precision agriculture used?

Precision agriculture is a technology and information-based system used to manage farm inputs and to identify, analyze, and manage spatial and temporal variability in all aspects of agricultural production system within fields to maximize sustainability, profitability, and environmental safety (McBratney et al., 2005 ). N nutrition can be managed through precision farming methods using modern technological approaches and sensors. Local or remote N sensors could be helpful in sophisticated management practices to assess plant needs for supplemental N ( Schmidt et al., 2002 ). Precision agriculture that allows effective timing and precise application of N has the potential to save N and improves efficiency. Availability of several soil-crop simulation models paved the way to effective N management and assessment of NUE and N loss. These models integrate the effect of soil, weather, cultivar, pest, and other management practices on the growth and yield of crop. Site-specific nutrient recommendations are also made through the use of geographic information system (GIS) and global positioning system (GPS). N recommendation that takes into consideration of soil nitrate or any other N sources such as N credit by previous crop reduces the amount of needed N and improves efficiency. Other agronomic management practices that increase the yield and total N uptake can contribute to higher NUE of either indigenous or applied N sources as prescribed by simulation models. These management practices include insect and weed control, time of planting, planting density, supply of nutrients other than N, and selecting adapted cultivar or hybrid suited for the region and better N uptake.

What are the most rapidly adopted agricultural technologies?

Farmers, agricultural companies, and research institutions, especially in developed countries, are moving toward sustainable use of the Earth’s resources, conservation of water, and reducing, if not eliminating, soil erosion while continuing to increase production. Genetically modified crops , the most rapidly adopted agricultural technology ever developed (see Chapter 8 ), are the latest contribution of chemistry to the continuing transformation of agriculture that enables further progress toward, but alone cannot achieve, the ultimate goal of feeding all.

How can PLF technology be used in dairy cattle?

PLF technologies that have been developed for intensively-managed dairy cattle could, with some adaptation, be applied to intensify various aspects of sheep production, particularly for dairy sheep. Indeed, dairy sheep already benefit from EID-facilitated milk metering, individual feeding and automated sort gates. Oestrus detection systems based on behaviour monitoring (as discussed earlier) could facilitate artificial insemination to improve sheep genetics, and robotic milking systems could be adapted for use with dairy sheep. Neck and/or ear mounted accelerometers are also able to detect rumination and eating behaviour in cattle, and these should in principle work with sheep. Note that eating time is not very well correlated with food intake as animals spend variable amounts of time searching through mixed feeds as they select specific dietary components. However, time spent ruminating is closely linked with fibre intake, so can be used to help estimate intake. As well as helping to optimise feeding, these data can also help to detect the changes in behaviour such as a reduction in food intake associated with the early stages of many diseases. Leg-mounted accelerometers can detect changes in cow activity associated with the early onset of lameness in dairy cattle ( Thorup et al., 2015) and could be adapted to detect foot health problems in sheep. Physiological monitoring (e.g. boli to detect rumen pH) can also be used to help and optimise the diet and detect rumen disorders. However, PLF technologies could also be applied to more extensive sheep systems, not to make them more intensive but to make them more efficient, and these possibilities are covered in the remainder of this section.

What is PA in agriculture?

PA is an information and technology-based agricultural management system (e.g., using remote sensing, geographic information systems, global positioning systems, and robotics) to identify, analyze, and manage soil spatial and temporal variability within fields for optimum profitability, sustainability, and protection of the environment ( Bongiovanni and Lowenberg-Deboer, 2004; NRC, 1997; Gebbers and Adamchuk, 2010; Schrijver, 2016 ). PA is believed to be able to reduce the amount of inputs required, and better protect crops and soil.

What is the application cycle for spatial management?

The application cycle for PA is observation, evaluation, interpretation, targeted management, and observation.

Why are demonstration farms important?

Some works and reports ( Erickson and Widmar, 2015) have highlighted the essential role of demonstration ‘digital’ farms in promoting the appropriate adoption of precision farming by farmers . The role of these demonstration ‘digital’ farms is also essential to support farmers in making the appropriate technical choices and investments on their own farms. However, the establishment of such digital farms is not easy. Indeed, to maintain the trust of farmers, it cannot be a purely commercial showroom run only by a few companies. Farmers must also have a clear understanding of the specific contexts in which the demonstration farm operates and be able to assess the constraints they themselves face on their own farms (production profitability, interoperability with existing digital tools and services, employee skills and support, etc.) and be able to identify new commercialized solutions that are of potential interest. Meeting all these conditions is not easy and this is certainly why, to our knowledge, there are few examples of digital demonstration farms in the world.

How is remote sensing used in agriculture?

In agriculture, remote sensing has been in use since long for estimating land cover, land use, and crop biomass, and it has now been utilized to estimate the spatial crop N status in season ( Henebry et al., 2005; Osborne et al., 2002 ). For adjustment of N supply to meet crop requirement, use of proximal plant canopy sensors could also be a potential option. Schepers et al. (1992) proposed a need-based sensing tool to adjust N input according to the demand of maize in field conditions and to reduce the environmental contamination from excess nitrate. For this purpose, SPAD chlorophyll meter values are used to estimate crop N status against a standard color and then adjusting N application accordingly. The major problem of this technique is the physical collection of readings from many leaves and standardization of N-sufficient plants from N-deficient plants. Studies have confirmed a positive linear relationship between SPAD chlorophyll meter reading and chlorophyll content ( Sharma and Bali, 2017; Ulrich, 1952 ). Under precision agriculture, soil testing approach prior to crop planting, in-season nutrient management based on sensors, and split application of N fertilizers could be opted for improving NUE. For this purpose, sensor technologies and algorithm development need further research attention to develop more stable and reliable models.

What is precision agriculture?

Precision agriculture is the practice of maximizing profitability and crop yields by using precise inputs in farming practices. With the help of precision agriculture equipment and technology, this practice can boost the efficiency, sustainability, and profitability of farmlands.

How can precision agriculture help farmers?

By utilizing precision agriculture technology to understand the conditions of the environment and ecosystem, farmers can improve crop management and maximize their yields in a relatively short span of time.

Why is it important for farmers to have information?

When farmers have such important information in-hand at all times, they are capable of making educated decisions to help maximize the profitability of their yields. More often than not, a given stretch of farmland will not produce consistent levels of yield across the surface area.

What are the different types of precision farming?

Apart from the three major branches of precision farming covered in the sections above, some of the other noteworthy systems in precision agriculture technology includes: 1 Data Integration Systems 2 Water Management Systems 3 Variable Rate Technology 4 Flow and Application Control

What is yield monitoring?

Yield monitoring systems are another important variant of monitoring technologies that were developed alongside GPS systems. When implemented on the ground level, this technology is capable of providing important insights into facets such as grain loads, moisture levels, and auto-cut width.

What is GPS technology?

Today, this technology is driving the progress of various PA systems such as GPS-guided seeders, tractors, and sprayers.

What is soil information system?

Modern sampling tools such as Soil Information Systems are a classic example of technology that’s developed to help farmers better understand the soil beneath their feet. These systems allow you to comprehensively decipher the precise nature of the soil health. This can be done by examining various components such as soil fertility, soil texture, moisture retention capability, and root zone depth.

What is precision agriculture?

Precision agriculture can be defined as “the application of modern information technologies to provide, process and analyze multisource data of high spatial and temporal resolution for decision making and operations in the management of crop production ” (National Research Council, 1997).

How can precision irrigation be used?

New uses relating to precision irrigation could include applications for mobile devices operating in the cloud to spatially monitor soil moisture, crop growth, and irrigation in real-time via in-field sensor arrays. Other cloud uses include providing data to refine planting and harvest operations, by integrating GPS and GIS data or managing equipment performance (pressures, flow rates, abstractions) at district or catchment scales. RFID tags, which automatically download data, are also becoming more widespread in agriculture. For example, tagging systems have been developed to collect data on the moisture content of straw bales, weight, and in-field position (GPS); in the future, similar cheap, possibly biodegradable, microtags could be deployed across fields to measure seasonal changes in soil moisture, organic content, crop canopy development, and canopy stress, or for monitoring and optimizing energy needs across pressurized irrigation distribution networks ( Carrillo Cobo et al., 2011 ). However, data security issues relating to confidentiality, integrity, availability, and accountability still need to be resolved before cloud technology can be fully integrated into precision irrigation.

What is the purpose of satellites in agriculture?

Satellite- and UAV-based applications of remote sensing in precision agriculture generally use multispectral measurements to estimate high-spatial resolution information related to soil properties, plant health, and crop yields. Reflectance spectra from soils provide information related to a variety of soil properties including soil moisture and organic matter content ( Ben-Dor et al., 2008 ). Depending on the spectral resolution of the instrument, specific constituents including clay minerals, calcium carbonates, and iron oxides that affect soil fertility and moisture holding capacity can also be measured ( Thomasson et al., 2001; Rossel et al., 2006 ). Each of these soil constituents have specific spectral regions where reflectance (or absorption) is strongest ( Ben-Dor, 2002; Ben-Dor et al., 2008 ), and narrowband or hyperspectral imagery, in combination with techniques such as spectral unmixing algorithms ( Huete and Escadafal, 1991) or derivative spectra ( Demetriadesshah et al., 1990; Li et al., 1993) are often required to identify these soil constituents. A key challenge in exploiting this capability is that current space-based instruments have limited spectral bands and resolution relative to the narrow and hyperspectral imagery used in many of the studies described earlier.

What are the driving forces behind digitalization?

In many countries, government policies and frameworks are one of the driving forces behind digitalization. The need for national e-agriculture strategies has been acknowledged by many stakeholders, but fully developed national strategies on digital agriculture are rare ( Trendov et al., 2019 ). The Hungarian DAS, which was adopted in Government Decree 1470/2019 (VIII. 1.), is among the first ones ( DJP, 2019 ). As part of the DAS, a monitoring system will be established to reveal the development of ICT use among the country’s farmers. It will include the extension of the FADN system (“Smart-FADN”) to collect data relevant to digital transformation of agriculture. The Research Institute of Agricultural Economics will have a significant role in the development of the monitoring system and has a contribution to statistical data collection, as well.

What is agricultural remote sensing?

Agricultural remote sensing is a big data source that can be used to monitor soil properties and crop stress. Agricultural remote sensing big data technology has been, since recently, gradually merging into precision agricultural schemes so that these big data can be analyzed rapidly in time for decision support in fertilization, irrigation, and pest management for crop production. Agricultural remote sensing is one of the backbone technologies for precision agriculture since it will produce spatially-varied data for subsequent precision agricultural operations. Agricultural remote sensing big data, which are acquired from different sensors and at different intervals and scales, have all the characteristics of big data. The acquisition, processing, storage, analysis, and visualization of these big data are critical to the success of precision agriculture.

How is remote sensing used in agriculture?

Large-scale data could discover the general trends, whereas the local data provides specific features of the farm and fields with the weather information. As a part of remote-sensing data supply chain management, agricultural remote-sensing big data architectures need to be built with the state-of-the-art technology of data management, analytics, and visualization. Real-time big data analytical architecture for precision agriculture are being developed. With the development of neural networks in deep learning, agricultural remote-sensing will use deep learning algorithms in remote-sensing data processing and analysis to develop unique research and development for precision agriculture.

What is cloud computing in agriculture?

Put simply, cloud computing involves using networks of remote servers hosted on the internet to store, manage, and process data, rather than hosting information and data on local servers. They generally rely on wireless data transfer and mobile web applications, in combination with other tools and spatial technologies including GPS and GIS. Cloud technology is well established within data-intensive industries, but only recently emerging in agriculture where various applications are being marketed. For example, in the USA, cloud services provide on-farm support from agribusinesses and consultants, for agrochemical application management. Other precision-related tools are now emerging.

What has led to the growth of precision agriculture?

Technology advancements over the past few decades have led to strong growth in precision agriculture, which is enabling farmers to increase yields and productivity

How does precision agriculture affect the world?

Precision agriculture is a key component to increasing the world’s food supply and reducing greenhouse gas emissions. The World Economic Forum estimates that if 15 to 25% of the globe’s farms were to adopt precision agriculture techniques, then global crop yields could increase by 10 to 15% and greenhouse gas emissions and water would decrease by 10% and 20%, respectively.

What is GPS used for?

GPS is an essential part of precision farming — it enables precise recording of coordinates (latitude and longitude) to accurately map and pinpoint areas of interest. GPS is widely used on drones, sensors, tractors, and other farm machinery. GPS enables machinery to operate autonomously — for instance, a farmer can plugin GPS coordinates for a path that a drone or tractor can follow. The drone or tractor then can navigate the course by itself using GPS.

How do remote sensors help farmers?

Remote sensors can also detect animals, plants, soils, and notice other elements on the farm. They can be very helpful in identifying pests because they can sense different emissions from pest-infected crops in comparison to healthy crops. Some other things for which remote sensors can be used include monitoring weather conditions, estimating moisture in the land, mapping resources on the farm, and estimating crop yield.

Why is remote farming important?

With remote sensors, farmers can better identify crops and make good decisions.

What is an analogy of data processing?

A good analogy of data processing is an apple and apple pie. When you collect the data it is like collecting apples. If you want a sweet, delicious dessert then you will need to process those apples to make apple pie. The act of processing the apples includes washing and cutting them, combining them with other ingredients such as crust and sugar, then baking. The same concept applies to your precision agriculture data.

What company takes pictures of farmland?

One such company is Planet Labs. These high-res images can be taken at regular intervals (daily, weekly or monthly), and then analyzed.

What Are the Main Advantages of Precision Agriculture?

Precision farming and VRA applications benefit all stakeholders in agricultural operations in just about every way, but mainly through the provision of more metrics for agricultural monitoring, the improved ability to make informed and efficient decisions, the creation of highly accessible farm records, the ability to better protect crops and investments, streamlined irrigation management, and superior land stewardship and sustainable practices.

Advanced metrics for agricultural monitoring

The most notable benefit of systems that employ precision agriculture technologies or practices is the vast amount of specific metrics they collect and use to monitor their operations.

Improved decision-making efficiency

Data-based decision-making means that previously complicated cost-benefit analyses and guesswork are taken out of the equation and clear statistical calculations are utilized to provide highly precise results in just a fraction of the time.

Important Technologies for Precision Ag

The smooth operation of precision farming is dependent on technologies that have the capabilities to efficiently collect data, automate systems, create advanced communication networks across the board, and apply inputs at variable rates.

The Future of Precision Ag: Onwards and Upwards

So what’s next? Based on the explosive innovation that has occurred in farming over just the past decade, and the predicted increase in food demands over the next several decades, we can be sure that technology will only become more and more integrated into our farming systems.


What Is Precision Agriculture?

  • Precision farming uses modern technologies such as satellite imagery or field mapping to improve crop quality and profitability. Moreover, it optimizes the use of traditional resources. Therefore, this agricultural management system contributes to the development of sustainable agriculture, allowing to solve both economic and ecological problems, w…

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Precision Agriculture Technologies and Methods

  • Precision farming requires special equipment and software to collect and analyze all the information. Since precision agriculture technology uses hardware and software, specialists are needed to implement them. However, with further work, farmers can cope on their own. The precision farming technology can be conditionally divided into ground, aerial, and satellite. The f…

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Precision Agriculture and Its Application Fields

  • This agriculture system constantly evolves, permitting growers to optimize production and exploitation of resources. Therefore, farmers can improve soil qualityand productivity. Here are the most popular application fields.

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Challenges of Precision Agriculture

  • Along with significant benefits, precision agriculture has several problems. Consider the main ones: 1. This concept does not guarantee increased income as agriculture remains dependent on the weather. Therefore, it is necessary to carefully analyze the economic viability of precision agriculture. 2. Most technologies provide soil and plant data but do not offer ready-made manag…

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Precision Agriculture to Maintain Sustainability

  • The goal of sustainable agriculture is to meet the current needs of society, primarily in food, without endangering the environment. Precision agriculture conserves resources by allowing farmers to cultivate crops and soil with maximum efficiency. For example, VRT reduces the dependence of production on chemicals, which contributes to the long-term productivity of the fi…

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