Big Data Analytics in Agriculture

Big Data Analytics in Agriculture

Agricultural productivity worldwide needs to improve significantly to provide satisfactorily for the burgeoning population. Little surprise then that agriculturists and researchers alike are harnessing the figurative new gold to enhance yield, cost-effectiveness, improve supply chain management while ensuring environmental sustainability.
GPS equipped tractors, soil sensors, weather data can help farmers gain insights about how to effectively manage resources including seeds, fertilizers, pesticides, and help them plan meticulously what to cultivate under different conditions to the minutest details.
Predictive analytics can even help mitigate damage to produce from diseases and pests and help navigate shifts in environmental conditions. Data-driven precision farming is also improving productivity by continuously monitoring crop health.

Besides, data is enabling stakeholders across the agricultural supply chain to customize their products and services to suit the evolving needs of the global agricultural market. Research suggests the adoption of smarter farming practices has the potential to save billions annually. Isn’t it time data permeates agriculture to provide well for posterity?
#PrecisionFarming #PredictiveAnalytics #AgriculturalInnovation #BigData

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