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The new challenges posed every day compel farmers to continuously track various agricultural data points, like soil conditions, water resources, weather patterns, growth rates, and the impact of climate change. One way to make this possible is by participating in networks that hare and analyze this kind of data.
Fremont, CA: The Earth is composed of 60 percent water, and the remaining 40 percent is expected to house 9 billion inhabitants by the year 2050. And what do they all need in common? Food! Approximately 40 percent of the Earth's land is used for the production of food, and yet one-third of the food produced is wasted. To feed this ever-increasing number of inhabitants, there is a need for excellent coordination between professionals across different fields and farmers across the globe. One of the technologies helping them meet the current and future demands is big data.
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The new challenges posed every day requires farmers to continuously track various agricultural data points, like soil conditions, water resources, weather patterns, growth rates, and the impact of climate change. One way to make this possible is by participating in networks that hare and analyze this kind of data.
Crowdsourcing Big Data in Agriculture
Big data in agriculture is aimed at collecting and analyzing large data sets that identify valuable trends for farmers and decision-makers. Post collection, mathematical models are used for the evaluation of potential scenarios by incorporating present conditions, climate change, future requirements, and the application of technology in farming. The results from this can be helpful for farmers and decision-makers in critical factors like where to invest time, money, and effort. Furthermore, these data can be shared with the public sector to advice policy or research initiatives. With adequate coordination and appropriate data sharing, these results can hold the key to improving research processes and increase awareness of agricultural impacts.
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Agricultural Big Data in Action
One of the critical factors to a fruitful crop yield is the proper knowledge of soil conditions. A better and thorough understanding of nitrogen and potassium levels can enable farmers to understand soil conditions better and make necessary adjustments to ensure crop growth. In the U.S., robots that can determine the optimal position of corn seeds are being tested. Meanwhile, Germany has reached the trail stages of a weed removal robot. Farmers today have become more open to accepting and investing in new technology. They have begun leveraging big data to optimize yields and, at the same time, reduce guesswork.
Agriculture need not be limited to plants alone; it also includes animals. Dubbed as the Internet of Cows, farmers have incorporated sensor technology to farm animals to collect vital health data for each animal. This also includes information that can help to identify the estimate birth date for a pregnant cow. Big data is enabling farmers to manage their crops and animals better. Crop insurance is an integral component of the financial system for farmers. Farmers can now take pictures of their crops every week and provide reports on planting and pesticide usage with support from geo-tagged data. This helps to report on crop damage and also has verifiable evidence proactively.
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