How is AI in Agriculture Yielding Better Crops?

How is AI in Agriculture Yielding Better Crops?

How is AI in Agriculture Yielding Better Crops?

Information about How is AI in Agriculture Yielding Better Crops?

Kevin David Scam or Legit

Artificial intelligence (AI) is set to revolutionize multiple fields, and the agriculture industry is no exception. Tech has always played a significant role in the farming sector — some examples of new technologies in farming include GPS tech, temperature and moisture sensors and robotics.

As a result of utilizing these technologies, businesses can become more profitable, efficient and environmentally friendly. It’s no secret that the COVID-19 pandemic has accelerated the digitization of many industries, and the effects will likely be long-lasting.

Whether it’s overcoming the unprecedented challenges the pandemic has brought or improving safety in the workplace, tech has been critical in recent years and will continue to be.

The pandemic also highlighted the fragility of the food supply chain — food insecurity is a pressing issue. Farmers face increased demand for produce and other foods, and some have chosen to leverage AI to meet that demand.

Continue reading for more information about how AI is expected to transform the farming industry and potentially yield better crops.

5 AI Applications in Agriculture

There are some ecological limitations farmers have to deal with. For example, depending on the region they’re operating in, it may be difficult to harvest enough of one crop during a particular season. Thankfully, technology can play a significant role in reducing these limitations and helping farmers overcome these various challenges.

For example, one nifty invention helps farmers limit back strain, increase the number of strawberries picked each season and shields farmers from heat or inclement weather. Since the inception of the picking device, farmers have found other ways to use it, for purposes like weeding, planting, harvesting other produce and more.

It’s expected that agricultural technology, also known as agritech, will grow in market size, reaching over $41 billion by 2027.

1. Crop Yield Prediction

Farmers can leverage AI and use predictive analytics to better understand what to expect after their crops are harvested. Deep learning models have recently been used to predict future crop yields, and they will likely make a positive impact on farmers.

Predicting crop yields plays an important role in global food production. For example, seed companies, policymakers, and growers benefit from these predictions.

Seed companies need to know how new hybrids will perform, and policymakers need to understand how they’ll perform to set forth policies to strengthen national food security.

2. Smart Herbicide Spraying

With AI sensors, different crop areas can be better maintained and sprayed with proper herbicides. This can help farmers keep herbicide usage down, leading to reduced costs.

Using these types of smart herbicide sprayers can keep individual weeds from growing, making it less labor intensive for farmers. Leveraging data captured by this type of tech allows smart sprayers to calculate the precise amount of herbicide needed to kill off weeds. The market is lucrative for these technologies and will continue to be ripe for innovation.

3. Predictive Insights with IoT Sensors

Farmers today have more access to data than ever before. The Internet of Things (IoT) is gaining momentum in the tech world, and more agricultural applications are emerging. Precision farming and smart agriculture may seem like buzzwords, but the tech behind them is quite advanced.

Sensors placed in fields provide detailed information about surrounding resources in a given area and offer topography maps. Soil moisture and nutrient content, for example, can also be determined through these IoT sensors.

4. Crop Disease Diagnosis

Last but not least, another vital AI application in agriculture is leveraging it to help farmers diagnose diseases in crops.

Farmers can better manage their crops and plants when they can use proper strategies to mitigate common diseases.No farmer wants to deal with crop disease, so they’ll more than likely use AI to prevent disease in the first place.

These applications for AI in agriculture offer value to farmers. While AI may not yet be widely available for all farmers, the more commonplace it becomes in the industry, the more affordable it will be.

Implementing AI for Precision Agriculture

It’s expected that AI will carve out its place in virtually every industry. In the farming sector, it already has many applications that show how valuable a tool it is. As AI advances, it will continue to evolve, and more agricultural applications will emerge.

The post How is AI in Agriculture Yielding Better Crops? appeared first on Datafloq.

Breaking Story – How is AI in Agriculture Yielding Better Crops?

The Latest News on How is AI in Agriculture Yielding Better Crops?

Source link
Category – Automation

Leave a Reply

Your email address will not be published.