Precision agriculture uses information technology (IT) to ensure that crops and soil receive exactly what they need for optimum health and productivity. This also ensures profitability, sustainability and protection of the environment. It considers aspects such as soil type, terrain, weather, plant growth and yield data when managing crops.
Kako bi obavila svoj posao, precizna poljoprivreda oslanja se na specijaliziranu opremu, softver i IT usluge. To uključuje pristup podacima u stvarnom vremenu o uvjetima usjeva, tla i okolnog zraka, zajedno s drugim relevantnim informacijama kao što su hiperlokalna vremenska predviđanja, troškovi rada i dostupnost opreme.
The real-time data is collected via sensors in fields that measure the moisture content and temperature of the soil and surrounding air.
After data is collected, predictive analytics software uses the collected data to provide farmers with guidance about crop rotation, optimal planting times, harvesting times and soil management.
Today, however, mobile apps, smart sensors, drones and cloud computing make precision agriculture possible for farming cooperatives and even small family farms.
Precision agriculture is not without its challenges. One of the biggest challenges is data management. The sheer volume of data collected by precision agriculture sensors can be overwhelming, and it’s difficult to make sense of it all.
Finally, precision agriculture requires a significant investment in technology. The equipment and software required for precision agriculture can be expensive, and it takes time to learn how to use it all effectively.
Sources:
https://www.techtarget.com/whatis/definition/precision-agriculture-precision-farming#:~:text=Precision%20agriculture%20(PA)%20is%20a,specific%20crop%20management%20(SSCM)
https://www.sciencedirect.com/topics/earth-and-planetary-sciences/precision-agriculture
https://climate-adapt.eea.europa.eu/en/metadata/adaptation-options/precision-agriculture