You Can't Spell Agriculture without AI

  • 7th Aug'21
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 Agriculture is the age-old technique of growing food in farms using traditional conditioning of soil. It is one of the oldest occupations that use several labor-intensive methods, from sowing to the final product. Today with the digital transformation, the face of agriculture has enhanced itself. As automation has already begun taking over every aspect of life, it's time to see how it has reached the depths of the soil and is working out more accessible ways to fertilize crops, cultivate them, store and distribute them.   

Artificial Intelligence is the system that has sourced machines to perform intelligently and work like humans. We are aware of several applications reflecting the use of AI Governance through voice and vision recognition. Examples include Siri Assistant, Google Maps, Self Driving Cars, etc. In Agriculture, too, it has empowered our farmers by giving them insights into technical aspects like crop monitoring, optimum plantation, and weather prediction. Honestly, you can't spell agriculture without AI because it is only a matter of time before it takes over the entire farming formula.

 

Agriculture without AI

 

Need For AI in Agriculture

We cannot deny that the world's population is growing faster. With a bit of land available, it is mandatory to look out for innovative ways to enhance food cultivation. Limited resources, unpredictable weather conditions, and networking issues of farmers add to the problems we face in agriculture. The need of the hour is a quick solution to all of these. Through AI and machine learning models, we can obtain valuable insights about the nutrient level of soil, the right time to sow seeds, better yields, weed control techniques, etc. 

 

Agriculture

 

The Power-Packed Impact on Agriculture

Agriculture follows a cyclical structure for every kind of plantation. It starts with texturing the soil, distributing seeds, adding manures and fertilizers, proper irrigation, pest and weed control, and ends with collection and storage. The traditional methods of farming had several limitations, such as

 

Weather Turn

The effects of urbanization destroyed forests which took a weather turn, and predicting temperatures became tougher every day. In such a situation, the dependency on rainfall, humidity, and temperature for the sowing of seeds needed a better way of analysis.

 

Weed Protection

The unwanted plants that grow in and around the fields, decreasing the yield and deteriorating the soil texture, needed a quick fix.

 

Scarce Resources

The essential agriculture item is the soil packed with nutrients, mainly nitrogen, phosphorous, and potassium. Any deficiency can destroy the efforts of a whole year so, there was a need to obtain better fertilizer.

 

Unskilled Farmers

The farmers have limited access to modern farming techniques, and it was time to resort to some skillful tricks to enhance the cultivation process.

 

AI Agriculture

 

How AI can Micromanage Every Given Issue

 

Predictions

With access to satellite imagery from the fields, farmers can now make predictions of the right time to sow and the produce. They can monitor crop health and make price forecasting based on the information they receive from advanced technology platforms.

 

The Use of Drones and Satellites

Drones and satellites can help capture the farm fields for a check on soil, crops, wind, or irrigation. Experts can easily detect what's wrong with the product and issue advisory to the farmers likewise.

 

Forecasting Weather Conditions

As already discussed, it's essential to know the right time to sow the seeds to harvest a good crop. With transparent information about weather changes, farmers can decide which crop to grow when.

 

Employing Robots

Robotics have influenced industries greatly and are slowly taking over humans' jobs in some form or the other. Employing them in fields over farmers can save time, labor and also favor testing times such as the pandemic or a plague.

 

Pest Detection

With technology advancements, farmers can quickly access sophisticated techniques to control weeds, pests, and other crop insects. Also, analysts can work on past data, refer to cases and use AI algorithms to find solutions. 

 

Technology at a Cost

Some may argue that Artificial Intelligence (AI) is expensive, and connecting the dots to get better at agriculture will cost a lot. The US is the world's largest exporter of agricultural products, and the world's economy emanates from the agro-industry. Anchoring through AI and cloud computing to gather advisories for sowing, pricing, harvesting, and storing is a vital initiative aiming to provide a stable structure and increase the farmer's income widely. 

With companies already investing in the research and development of enabling AI into agriculture, we are heading toward making technology accessible to all and eradicating the food problems worldwide.

 

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About the author:

Supriti Tripathy, OpenGrowth Content Team

A believer of good things and pursuer of diverse avocation, she is a fiction lover and a simple writer. Supriti has a number of professions to her list and she feels challenges are the only answers to failures.


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