Artificial Intelligence in the Agriculture Sector
There are numerous ways to use AI in agriculture to increase productivity and efficiency. Some of these are demonstrated by the examples we've compiled.
Evaluating consumer demand
Market demand analysis is an essential component of contemporary agriculture. Farmers may choose the best crop to cultivate or sell with the aid of AI. A New Mexico-based startup called Descartes Labs provides farmers with an AI-powered platform to assess market demand. The business creates machine learning algorithms to evaluate meteorological and satellite pictures, giving useful information on when to plant and which crops are best to grow. Descartes Labs can assist farmers in maximizing their profitability by forecasting the market demand for particular crops through the analysis of data patterns.
RISK MANAGEMENT
Farmers can reduce the likelihood of crop failures by using forecasting and predictive analytics. For instance, a new Indian business called Intello Labs use artificial intelligence (AI) to assist farmers in assessing the quality of their crops and minimizing food waste.
The business creates software applications that evaluate fruits and vegetables and provide information on their quality, freshness, and size using artificial intelligence (AI) and computer vision techniques. In addition to identifying flaws and illnesses in crops, these AI tools allow farmers to take preventative action before the crops are impacted.
FERMENTING SEEDS
Artificial Intelligence (AI) can assist in the production of crops that are more weather- and disease-adapted by gathering data on plant growth. Scientists can use AI to find the best-performing plant kinds and crossbreed them to make even more superior hybrids.
Indeed, the agricultural industry has long employed the practice of generating hybrids. But using AI technologies, such as Seed-X's, to collect genetic data from seeds can expedite the procedure and raise the possibility of success.
REGULATORY SOIL HEALTH
AI systems are capable of reliably estimating missing nutrients and performing chemical soil analysis. One such is the AI-powered gear and software produced by the Dutch agritech business Agrocares.
One of their products, Nutrient Scanner, gathers information from soil samples and gives farmers precise estimations of the nutrients that are lacking and the general condition of the soil. This enables farmers to optimize crop growth and minimize environmental impact by modifying irrigation schedules and fertilizer applications.
Furthermore, AgroCares offers farmers tailored soil management advice to support them in preserving the long-term health of their land.
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