Big Data Technologies in Agriculture Sector

Big Data Technologies in Agriculture SectorFarming is a basic and traditional occupation, since long back. The big data in agriculture regarding farming ethics and land has been passed from one generation to another like ancestral property.

Like every other industry, even agriculture is witnessing lot many advancements, especially from the mid-1990s. All thanks to the technology, which is bringing ease in performing various tasks related to agriculture. Farmers in recent times, need not do all the things manually, rather they take help of technology like satellite GPS, imagery, sensors, big data analytics to build connected farms.

Connected farms are known for enhanced productivity, efficiency, profitability. This is revolutionizing the farming industry and is making it possible to track each and every aspect of farming starting from soil moisture to know the number of seeds planted, and the crop yields. This kind of tracking is helping the farming industry in data gathering because the tracking is done with the help of sensors. This data which is thus gathered becomes plays a vital role in making necessary decisions.

This helps in measuring various aspects of farming like the type of seeds planted, running time of the tractor, yield data during the harvest, fuel consumption, and many more. The best part is that all these data is one need not manually enter it into the computers, rather the entire data is sent to cloud-based software automatically. This feature helps the farmers to avoid spending more time on farms.

Agricultural technology is turning into a huge business where people are investing billions of investment in farming technology. Especially, the investments are made on cloud-based software which has become the latest trend these days in the farming industry. The advantages of using cloud-based software fall wide range and it includes measuring various factors like climate, soil moisture, pests, sunlight, thus, in turn, helping the farmers in making appropriate plans for the coming years to make maximum yield.

Sensors used in this technology is considered as the backbone of the connected farm, yet the importance of the ability to parse the data automatically cannot be ignored. Today, many companies are working on creating platforms which will simplify the data aggregation of the farmers, its analysis and presentation. Recently, Ova, which is an IoT is been developed which works for detecting the light, moisture, motion, and humidity, thereby simplifying the lives and helps in making smart decisions.

Companies which are involved in handling big data sets like plots of different crops across various states are having custom-made tools for calculating the expected yield. This helps the farmers in gaining knowledge and awareness about the true worth of the crop. These custom-made tools serve for analyzing the data for understanding the link between topography, weather, soil, precipitation. This data is further used in making an algorithm for estimating the yield from the field in the country.

The use of data-based operations is allowing the farmers in findings ways to approach new companies, which don’t fall under the agriculture sector. It is good to know that many B2B companies are making a move towards B2Farms services, this helps farmers in managing, gathering, storing and analyzing the data.

Usage of mobile apps also serves very usefully. Big data app development helps the farmers to stay aware of things constantly. If you are looking for developing mobile apps using big data, then reach FuGenX, one of the best mobile app development company in Dubai.

Bottom line:

Technology is advancing, so in such a scenario, farmers need to make a move towards the connected farms for staying strong in this competitive market. This is very much important because, these days the farmable land is becoming limit, whereas the population in growing big, so there is a definite need to grow more smartly than ever before.

Undoubtedly, it is very useful to provide the farmers with as much data as possible regarding the various procedures, how to operate them, how to farm in the challenging environmental conditions, diseases and pest challenges, and the variability in the market.

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