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By: Mr.Roman Date of post: 21.07.2017

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. The goal of precision agriculture research is to define a decision support system DSS for whole farm management with the goal of optimizing returns on inputs while preserving resources. The interest in the phytogeomorphological approach stems from the fact that the geomorphology component typically dictates the hydrology of the farm field.

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The practice of precision agriculture has been enabled by the advent of GPS and GNSS. This data is then used by variable rate technology VRT including seeders, sprayers, etc. These systems, commonly known to as drones, can be equipt with hyperspectral or RGB cameras to capture many images of a field that can be processed using photogrammetric methods to create orthophotos and NDVI maps. Precision agriculture is a key component of the third wave of modern agricultural revolutions.

The first agricultural revolution came along during the advent of increased mechanizationfrom Each farmer produced enough food to feed about 26 people during this time.

With new technological advancements in the agricultural revolution of precision farming, each farmer will be able to feed people on the same acreage. Timeline of agriculture and food technology. The first wave of the precision agricultural revolution will come in the forms of satellite and aerial imagery, weather prediction, variable rate fertilizer application, and crop health indicators.

The second wave will aggregate the machine data for even more precise planting, topographical mapping, and soil data. Prescriptive planting is a type of farming system that delivers data-driven planting advice that can determine variable planting rates to accommodate varying conditions across a single field, in order to maximize yield.

It has been described as " Big Data on the farm. Geolocating a field enables the farmer to overlay information gathered from analysis of soils and residual nitrogen, and information on previous crops and soil resistivity. Geolocation is done in two ways:. Intra and inter-field variability may result from a number of factors. These include climatic conditions haildrought, rain, etc. Permanent indicators—chiefly soil indicators—provide farmers with information about the main environmental constants.

This information may come from weather stations and other sensors soil electrical resistivity, detection with the naked eye, satellite imagery, etc.

Soil resistivity measurements combined with soil analysis make it possible to measure moisture content. Soil resistivity is also a relatively simple and cheap measurement. Decisions may be based on decision-support models crop simulation models and recommendation modelsbut in the final analysis it is up to the farmer to decide in terms of business value and impacts on the environment. It is important to realize why PA technology is or is not adapted, "for PA technology adoption to occur the farmer has to perceive the technology as useful and easy to use.

It might be insufficient to have positive outside data on the economic benefits of PA technology as perceptions of farmers have to reflect these economic considerations. New information and communication technologies NICT make field-level crop management more operational and easier to achieve for farmers.

Application of crop management decisions calls for agricultural equipment that supports variable-rate technology VRTfor example varying seed density along with variable-rate application VRA of nitrogen and phytosanitary products. Precision agriculture uses technology on agricultural equipment e. The concept of precision agriculture first emerged in the United States in the early s. Inresearchers at the University of Minnesota varied lime inputs in crop fields. It was also at this time that the practice of grid sampling appeared applying a fixed grid of one sample per hectare.

Towards the end of the s, this technique was used to derive the first input recommendation maps for fertilizers and pH corrections. The use of yield sensors developed from new technologies, combined with the advent of GPS receivers, has been gaining ground ever since.

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Today, such systems cover several million hectares. In the American Midwest USit is associated not with sustainable agriculture but with mainstream farmers who are trying to maximize profits by spending money only in areas that require fertilizer.

This practice allows the farmer to vary the rate of fertilizer across the field according to the need identified by GPS guided Grid or Zone Sampling.

Fertilizer that would have been spread in areas that don't need it can be placed in areas that do, thereby optimizing its use.

Around the world, precision agriculture developed at a varying pace. Precursor nations were the United States, Canada and Australia. In Europe, the United Kingdom was the first to go down this path, followed closely by France, where it first appeared in In Latin America the leading country is Argentinawhere it was introduced in the middle s with the support of the National Agricultural Technology Institute.

Brazil established a state-owned enterprise, Embrapato research and develop sustainable agriculture. The development of GPS and variable-rate spreading techniques helped to anchor wpf stock trader farming [19] management practices.

One third of the global population still relies on agriculture for a living. This service assists farmers with mobile payments and receipts make money on youtube without google adsense improve efficiencies. For example, 30, farmers in Tanzania use mobile phones for contracts, payments, loans, and business organization. Precision agriculture, as the name implies, means application of precise and correct amount of inputs like water, fertilizer, pesticides etc.

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Precision agriculture management practices can significantly reduce the amount of nutrient and other crop inputs used while boosting yields. The second, larger-scale benefit of mikado technology and trading joint stock company inputs—in spatial, temporal and quantitative terms—concerns environmental impacts.

Applying the right amount of inputs in the right place and at the right time benefits crops, soils and groundwater, and thus the entire crop cycle. Sustainable agriculture seeks to assure a continued supply of food within the ecological, economic and social limits required to sustain production in the long term. Precision agriculture therefore seeks to use high-tech systems in pursuit of this goal.

A recent article has tried to show that precision agriculture can help farmers in developing countries like India. Precision agriculture is an application of breakthrough digital farming technologies. Self-steering tractors have existed for some time now, as John Deere equipment works like a plane on autopilot. The tractor does most of the work, with the farmer stepping in for emergencies.

Other innovations include a solar powered machine that identifies weeds and precisely kills them with a dose of fertilizer or lasers. Advances in drone and satellite technology benefits precision farming because drones take high quality images, while satellites capture the bigger picture. Light aircraft pilots can combine aerial photography with data from satellite records to predict future yields based on the current level of field biomass.

Aggregated images can create contour maps to track where water flows, determine variable-rate seeding, and create yield maps of areas that were more or less productive. The Internet of Things is the network of physical objects outfitted with electronics that enable data collection and aggregation. IoT comes into play with the development of sensors and farm-management software.

For example, farmers can spectroscopically measure nitrogen, phosphorus, and potassium in liquid manurewhich is notoriously inconsistent. Innovations are not just limited to plants—they can be used for the welfare of animals.

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Cattle can be outfitted with internal sensors to keep track of stomach acidity and digestive problems. Media related to Precision farming at Wikimedia Commons. From Wikipedia, the free encyclopedia. Image of the Day". Future Directions of Precision Agriculture. Precision Agriculture, 6, Definition and Interpretation of potential management zones in Australia, In: Proceedings of the 11th Australian Agronomy Conference, Geelong, Victoria, Feb.

Relationship between six years of corn yields and terrain attributes. Precision Agriculture4, Retrieved December 21, Retrieved 10 February Soil Electrical Conductivity" PDF.

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