Climate change, population growth and food security has forced farmers and big cultivators to search for innovative solutions.
In a world where millions of people don’t have access to healthy food, traditional agriculture methods are proving not to be enough. The future of cultivated areas is now in the hands of and Turkish farmers are welcoming the change
When we were kids, we ate the most delicious fruits and vegetables but today none of us can find the same taste. In order to get more efficiency and grow more tasty food, technology is often used in agriculture around the world.
Isn’t it a good idea to increase productivity with a technological method, which analyzes thousands, even millions of pieces of data that people alone can’t handle, to offer the most appropriate choice for all conditions including climate, soil, water and agricultural products? Let’s ask farmers if there is a technology which knows the answers to questions such as: “Which product and seeds are proper for me? When should I plant them? How much fertilizer and when should I use it? How much water should I give? Is there any harm or risk of illness? If there is, which medicine should I use? Is there any unhealthy area on my land? If there is, what should I do?” Good news, the answer is a little something called (). This technology does not only prevent potential losses you might suffer but it also makes you increase the efficiency, finding the most proper and truest agricultural applications for you.
The use of in the agricultural field creates a boosting effect on the income that is earned from agriculture, especially in the U.S. According to the U.S. Environmental Protection Agency (EPA), the contribution of agriculture to the economy in 2016 was $330 billion.
However, climate change, population growth and food security, which has become more popular in recent years, caused farmers and big cultivators to search for innovative solutions.
Artificial intelligence is known to get the best results. The agricultural use of is in three fields: agricultural robots, examining the harvest and soil, and predicting analyses. We are talking about agricultural robots which can sow seeds in larger areas much faster than people, algorithms of , methods that show the condition of the soil and products, combining unmanned air vehicle technology, and analyses that show the effect of environmental factors like the change of temperature during the harvest with . […]