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Owing to the high demand for sustainable development, farmers across the globe are increasingly adopting technology-enabled solutions in their farms by integrating big data, technology, and innovation in the production process, which is likely to enhance the quality and quantity of the produced crop.
Fremont, CA: The population across the globe is forecasted to reach 9.1 billion by the year 2050, thereby increasing the demand for food. Farmers are anticipated to boost food production by 70 percent by 2050, as announced by the Food and Agricultural Organization. This has made the farmers worldwide, to highly depend on the agro-technology solutions to enhance the production of food.
The sensors help in identifying the areas that need water and chemical fertilizers and also tracks the quality of crops during harvest. Moreover, Drones are used to monitor the healthy development of the crops, water needs, and also offers to create maps that can depict various conditions in the crop field. The Agro-tech Applications helps in the diagnosis and management of livestock. The Smart vehicles designed for agricultural purpose seek to apply the perfect amount of seeds and fertilizers, thereby reducing the number of inputs used and maximizing the output.
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Data is the core component of technology. According to Tim Close, CEO of AGI, data is an integral part of AGI's approach to crop cycle. The agro-tech based equipments and application cover the crop cycle along with the field activity and marketing the grain produced. Specialized equipments for seeds, fertilizers, and other application and data-based solutions for the post-harvest and crop storage are available in the market, globally. Adoption of such equipments are anticipated to enhance the productivity in less time, thereby maximizing the profit.
As per the U.S. Department of Agriculture (USDA), More than 50% of the planted acres use the agro-tech guidance systems to optimize the rate of seed placement. Data is derived from the equipment to the cloud storage and back, which optimizes the fleet and agronomic settings of the system.
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