Precision Farming

Precision Farming

What is Precision Agriculture


In simple language,  the Precision of Farming/Agriculture is using the Best Suitable solution we should use  for the optimum outcome from Agriculture, 
So in order to identify the best solution, we have to use technologies like IOT, Remote Sensing, GPS, and Advance Machinery.

 
Some Technologies Used In Precision Farming 

Overview 

The world is on the verge of a third modern agricultural revolution and Precision farming is an important part of it. The first revolution that took place from 1900 to 1930, mechanized agriculture left each farmer able to produce enough for 26 people. Not long after that it was the 1990s when the second revolution took place known as the Green revolution. As a result of scientific progress, a new set of pest-resistant and water-resistant plants was developed, leaving the farmer with the ability to feed 155 people. The world's population is expected to reach 9.6 billion by 2050 and food production should double its existing levels to feed everyone. Improved analytical skills and improved IoT consistency will be key factors in the third transformation, enabling each farmer to feed 256 people.

Precision Agriculture (PA) is a farm management system that uses information technology (IT) to ensure that crops and soil get exactly what they need for high quality and productivity. The goal of PA is to ensure profitability, sustainability and environmental protection.


Why Precision Farming 

In developing countries, 32 percent of food losses occur during food production as analyzed by McKinsey in FAO data.
Typical farming methods are localized. There is a general collection of plants grown throughout the universe. All farmers in the area follow the same procedures regarding sowing, feeding, watering and harvesting. Leading to these practices: uncertainty, overuse of resources and uncontrolled waste disposal.
Before using technology in agriculture, a farmer's chances of producing a good product were like throwing a coin and wishing for a head. Since farmers had no knowledge of their farms, there was no way to learn the causes of crop losses. This practice pushed farmers into losses and debt. Advances in data analytics, IoT and accessible satellite imagery have created confidence in the agricultural sector, thereby combating the problem of insecurity.


Sensor Test Example


                                                               Copyright © Agrix 2022



Sources :-
Cropin.com ,ScienceDirect.com , istock