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The agricultural sector is at a crossroads challenged by various hurdles. The world population keeps rising while food production must increase to feed people on the planet; meanwhile, water and arable land resources are limited. On the other hand, climate change introduces weather hitches into the equation that puts more pressure on farmers to be more innovative. Fortunately, there is hope in a realistically approaching new age of agriculture. Agriculture & technology are converging to create a powerful force for change: Precision Agriculture. Artificial Intelligence or AI is at the core of this revolution; it has several viable solutions that could solve agricultural problems that were unsolvable before. This blog aims to explain how AI is transforming the practice of farming and the ability of AI to plant seeds for a prosperous farming future. Intelligence can be explained as computer applications containing the abilities to study, preempt, and self-organize to achieve pre-described goals. In the case of decision-making for agriculture, this provides a completely new level of control and knowledge for the farmer using AI. Here's how: Data-Driven Decision Making: AI can retrieve a lot of information from different sources like; weather, and state of the soil, and crops through sensors. It assists in defining some pivotal characteristics in farming, for instance, when it is the best time for planting something; when it is possible to water the fields; and what concentrations of fertilizers have to be used. Enhanced Crop Monitoring and Disease Detection: Some examples of the application of AI technologies in the progressive methods of agriculture would be image identification through imagery captured by drones or satellites that signals the early signs of diseases or pests. This becomes possible for the management of pests and thereby minimizes crop losses, as well as the utilization of wide-spectrum insecticides. Precision Irrigation Techniques: Today there are some possibilities to regulate irrigation systems with the assistance of real measurements of humidity and local prognosis of the weather. This is an advantage since it ensures that crops will only require the right amount of water to grow and this reduces wastage of this resource.Unveiling the Power of AI in Precision Agriculture
Yield Prediction and Risk Management: AI models are in a position to help you analyze the data and the condition to predict the yield outcome. It enables farmers to organize themselves more effectively, especially in the storage, transportation, and marketing of the produce. Also, it makes it possible to determine probable risks, which are connected with weather events, and make recommendations, which would help to minimize the impact of possible risks.