Precision agriculture means using exact science and methods to produce more for less, this includes observing multiple changes in the environment and its effect on the growth stage of the crop in all previous experiments, see el technology was limited to the amount of data points.
before a farmer could see that some produce was not being fed or not getting enough sunlight, it was too late to reverse the damage, but in the 21st century we now have sensors, with which we can now measure all components.
All the environments and instruments that can make sense of all the data we receive and show us the next best course of action, the result is a higher quality and quantity of product while producing much less waste, and the best part of these systems are the AI Systems they learn from past experiments, which means that all future experiments will be even better in precision agriculture, which involves using agricultural technologies to measure big data.
Systems including the health and temperature of the soil, the amount of oxygen and air temperature, the amount of water, the amount of sun, the use of insects and pesticides on the slopes on the ground, other types of prodigies in even proximity, even the age of the soil, the spatial even the age of the soil, spatial variability carbon levels and different colors of sunlight, all affect growth development at different stages of crop growth, by knowing exactly where it is and where it needs to be, at which stage of development management is more informed.
Can make decisions to bring nearly twice.
It yields almost twice as much if there was enough sunlight and nutrients in the soil, so by introducing this one element we can double the yield instead of doubling all the elements individually.
Producing more quality products for less
Some other examples of precision agriculture are A follows the crop yield, the crop uses stationary sensors to measure the soil nutrient water and the surrounding air, uses Ai to produce the best procedure and transmits this information to the farmer, which can mean that the amount of fertilizer should be increased on a part of the land instead of the entire farm.
Saving the farmer money and time
Agricultural management finds this type of data collection increasingly valuable as we enter a phase where we need to produce more food to feed the world while wasting less to get more.
Check the yield on the link below, it varies. dosing technology or vrt, also known as oral dosing application, which allows water and other agricultural materials to be irrigated with lime-gypsum in the field at different rates, so that farmers do not have to manually adjust the dosage settings on the equipment or make multiple passes.
In a certain area, input costs are low, which allows significant savings for the farmer, but also allows Less polluted oil, the third is GIS technologies, such as gps gen ss remote sensing and drones, which all play an important role in the location of problems in identifying, optimizing resources and maximizing yield, including the use of satellite images to determine which areas of the economy get the most.
You can take day- or drone-timed photos for the farmer to see which crops are growing or shrinking and why they are fourth after harvest, and brings it all through an Ai system and brings it all through an Ai system that can measure the condition of the crop in real time and predict up to 9 months in advance whether the crop when they are ripe, there are also 24/7 crop damage alerts that allow cold storage operators to step in only when something is really wrong, there are many companies focused on producing more for less, and precision agriculture is everything.
from software to hardware to optimize the farm-to-table process , there are 50 fewer farmers today than 10 years ago, with growing evidence in the US that there will be another 50 fewer in the next five years Learn how waste less, and precision agriculture is the way we’re going to do it.
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