| |MAY 20229need of the hour which can certainly help overcome these challenges and will make the entire process error-free and effective.Application of AI in Agriculture:Crop & Soil monitoring Agriculture is all about the natural process. The soil and crop are two variables of the business. Continuous monitoring of both variables is extremely critical. Recently, the sector is witnessing the massive application of IoT and AI technologies as these technologies help in automating and accelerating the otherwise lengthy monitoring process thus providing increased efficiency and accuracy.Predictive agricultural analyticsRisk prediction and time-keeping during the process of agriculture are a must. AI is proving its worth in the vital parts of this field. Sowing seeds, watering the crops, pest attacks, and many more events are automated and are accurately predicted and executed. This reduces a lot of human efforts thereby providing a lot of comfort in the entire process.Demand & Supply change analyticSKeeping tabs on the demands and supply chain is a must. Analytics will only help the cause and is perfectly efficient to maintain the flow of the business. Companies are using real-time data to enhance profitability. Yield MappingAI provides the comfort of yield mapping before even starting your agribusiness. Yield mapping is a prediction tool that helps in identifying the location which will provide the maximum yield together with the quantity of this yield in the given conditions. Agricultural specialists can now predict the potential soil yields for a given crop through all the necessary data through yield mapping.Bringing in more investmentsLooking at the current growth prospects in agriculture, there is a greater need to bring in more investments in this sector and acting upon them with maximum efforts. More and more companies and brands are venturing into this sector. The use of advanced technologies like AI and ML are making the whole process effective and efficient thus making the agribusiness field more attractive than ever before.AI in agribusiness can enhance the abilities of farmers to maximize their potential. It supports the flow of traditional to innovative farming. Also, AI looks into the prime objective of managing the risks to help farmers in an effective manner. Implementing AI in agribusiness on a global scale seems a bit far-fetched dream right now. But it is the way forward with the new and promising opportunities in the field of agriculture. the sector is witnessing the massive application of IoT and AI technologies as these technologies help in automating and accelerating the otherwise lengthy monitoring process thus providingincreased efficiency and accuracy
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