Precision agriculture (PA) or satellite farming or site specific crop management (SSCM) is a farming management concept based on observing, measuring and responding to inter and intra-field variability in crops. Crop variability typically has both a spatial and temporal component which m…
seeks to use new technologies to increase crop yields and profitability while lowering the levels of traditional inputs needed to grow crops (land, water, fertilizer, herbicides
Herbicides, also commonly known as weedkillers, are substances used to control unwanted plants. Selective herbicides control specific weed species, while leaving the desired crop relatively unharmed, while non-selective herbicides can be used to clear waste ground, industrial and construction sites, r…
and insecticides). In other words, farmers utilizing precision agriculture are using less to grow more.
How is precision agriculture used in agriculture?
In other words, farmers utilizing precision agriculture are using less to grow more. GPS devices on tractors, for instance, allow farmers to plant crops in more efficient patterns and proceed from point A to point B with more precision, saving time and fuel.
What will precision agriculture look like in 10 years?
Lux Research predicts that within 10 years, “precision agriculture will be an industry of fully developed platforms that cover the entire cultivation process.” If so, the result could be a food system with less waste, using fewer chemicals, functioning at lower cost.
What is the difference between variable inputs and precision farming?
Variable application of inputs may not always increase yields, but simply hold them constant whilst reducing input costs. Precision farming enables the farmer to reap increased profit through better management, and the application of more appropriate/reduced chemical treatments also helps to preserve the environment.
How can Nue be improved under precision agriculture?
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 (PA) is an approach to farm management that uses information technology (IT) to ensure that crops and soil receive exactly what they need for optimum health and productivity. The goal of PA is to ensure profitability, sustainability and protection of the environment.
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.
Why is precision agriculture?
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 and how does it help farmers?
What is precision agriculture? 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.
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.
What is precision agriculture and why is it important PDF?
Precision agriculture is a management concept, which relies on intensive data collection and data processing for guiding targeted actions that improve the efficiency, productivity, and sustainability of agricultural operations.
How is precision agriculture done?
Precision farming is practiced by adopting analytical software and the use of technical equipment. Rigorous data collection is done on soil testing, plot measurement, weather pattern analysis, and crop analysis through sensor-equipped devices placed on the fields.
What is precision agriculture PPT?
PRECISION FARMING (Definition) • It is a new method of farming that tailors inputs of fertilizers, pesticides etc. to match the variation in the growing conditions with in a field. The practice is known as Site Specific Management.
What are the advantages and disadvantages of precision agriculture?
For the precision farmers, the most important advantages of this technology are better organization and yield increase (in quantity and in quality) and the increase in profit. The most important disadvantages are the increase of human resource demand and working time.
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 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.
How much will the global demand for calories grow over the next 40 years?
With the global demand for calories expected to grow by almost 50% over the next 40 years, the question on many minds is how to produce enough food to feed the world population. Though crop yields in the United States have grown in the last decade, they must continue to grow — and we don’t have much productive farmland left to expand into.
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 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.
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 the application cycle for spatial management?
The application cycle for PA is observation, evaluation, interpretation, targeted management, and observation.
Is precision farming still used in France?
Precision farming tools and methods are still adopted very unevenly in France. Vigour mapping remains the most important application with limited adoption. However, the value of digital technology and precision agriculture (PA) for improving the profitability of agricultural operations and/or to mitigate their environmental impact has been highlighted by numerous works (Larson et al., 2008, Reichardt et al., 2009 ). Some of them have focused on the adoption of new technologies by farmers in most parts of the world ( Watcharaanantapong et al., 2014; Paustian and Theuvsen, 2017 ), showing that the phenomenon is starting worldwide. More recent work has also focused on the impact of these technologies on the farmer’s work ( Hostiou et al., 2014 ). One of the important changes is of course the extraordinary amount of data that must be processed and aggregated to extract information that is useful for operational decision-making in the specific context of the farm. Another important change is the complexity of the tools and equipment required. This complexity requires new knowledge to enable appropriate implementation, optimal tool settings and technical expertise to ensure optimal interoperability, etc. These constraints explain why farmers are sometimes reluctant to adopt PA technologies on their own farm ( Reichardt et al., 2009; Aubert et al., 2012 ).
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