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What is Precision Agriculture? What is the meaning of Precision Farming? - YouTube
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precision agriculture is a method in
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which farmers optimized inputs such as
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water and fertilizer to enhance
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productivity quality and yield the term
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also involves minimizing pests and
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diseases through spatially targeted
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application of precise amount of
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pesticides it means that you will deal
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with parts of your field in an
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appropriate way in different ways
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because these different parts of the
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field they are different the soil may be
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different a little bit the Sun which is
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being received by that field part of the
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field may be dirt from the slope may be
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different so there is varying factors
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across sectors varying across the a
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particular parcel taking those into
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account in order to maximize the crop
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taking ecological factors into account
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so what exactly is precision agriculture
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and how is it different from traditional
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farming a traditional agriculture where
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everything has started this is actually
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from experience handed over technology
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has also improved to the start of this
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animal in the beginning they built up
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machines tractors and so on and that
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they realized okay if I'm more precise
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on planting harvesting fertilizing and
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actually get also more out of my fields
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and the sexxxy difference where the
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precision makes a difference in the
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efficiency or in the productivity of the
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farm and just where position agriculture
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is actually only a driver or measure
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another level of productivity in
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agriculture precision farming is a
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farming management concept based on
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observing and responding to in travail
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variations it relies on new technologies
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like satellite imagery GPS information
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technology and other geospatial tools
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let's try and understand this better
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suppose you have 20 hectares and you are
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getting 100 tons per hectare of yield a
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remote sensing image of your field shows
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the difference between the yield in
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various parts of the same ground
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areas marked in red to the yield of 20
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tonne per hectare while areas marked in
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blue to yield of 120 ton per hectare
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a difference of 100 tonnes or in other
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words not optimising yield from these
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hundred tonnes is leading to loss in
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productivity observing variability in
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crop is the first step of precision
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agriculture process evaluating all this
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information together can give you a
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better understanding of the causes of
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variability in your farm depending on
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evaluation you can manage your crop
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better sensors in field measure the
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moisture content and temperature of the
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soil and surrounding air satellites and
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robotic drones provide farmers with
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real-time images of individual plants
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information from those images can be
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processed and integrated with sensors
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and other data to yield guidance for
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immediate and future decisions such as
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precisely what fields to water and when
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or where to plant a particular crop for
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example it can give you an idea if you
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need to apply a particular mineral or
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fertilizer in one area of your land
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rather than using it in the entire farm
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thus saving your money resource and time
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geospatial science has a major role to
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play in securing both food and
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nutritional security in agricultural
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systems geospatial technologies such as
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GPS GNSS remote sensing and drones play
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an important role in precise location of
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problems optimizing resources and
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maximizing yield this is higher
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precision GNSS but actually only enables
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or one Kazu centimeter accuracy to
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really bring this possession also down
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to the fields of the crops whether they
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actually needed to get the productivity
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on the other component or the other
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technology Disney is also of course also
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the the Machine together with the tools
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that you have any bag that they are
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adjusted and calibrated to each other
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because the positions that you measure
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on the roof it's not what the farmers
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interested in he is interested in the
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centimeter on the ground down there so
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you have to know what the distance
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between these two points to make it
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really precise after entire thing
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unmanned aerial vehicles or UAVs allow
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farmers to monitor crop and livestock
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conditions consistently by air to find
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problems that would not be visible in
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ground level spot checks and at example
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a farmer can inspect whether his crop is
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not being properly irrigated through
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time-lapse
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but we're also seeing increasing growth
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in agriculture so that's using different
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sensors like multi spectral sensors to
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basically fly over the crops and measure
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the reflectance of the light to see
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whether crops are healthier where
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they're struggling today mobile apps
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smart sensors drones and cloud computing
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make precision agriculture possible for
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farming cooperatives and even small
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family farms
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