In the economic sector, agriculture plays an important role. Agricultural automation is the most critical issue and the world's developing topic. Worldwide, agriculture is a $5 trillion industry. By 2050, the global population will reach more than nine billion; this requires a 70% increase in agricultural production to meet the demand. The farmers' traditional practices were not sufficient to meet these objectives. As a result, new automated procedures were developed. These new methods met food demands while simultaneously providing work opportunities for billions of people. Thus, artificial intelligence in agriculture has ushered in a new era of agriculture.

This article will explore the issues that farmers experience by employing traditional farming methods and how Artificial Intelligence makes a farm revolution by replacing conventional approaches with more efficient processes and making the world better.


Farmers' challenges through conventional agriculture practices

1) In the agriculture lifecycle, climate elements such as rainfall, humidity, and temperature play a crucial impact.
Climate change is caused by increasing deforestation and pollution. Therefore, soil preparation, sowing seeds, and harvesting are complicated for farmers to decide.

2) Each crop needs particular soil nutrition.
The soil requires three major nutrients: nitrogen (N), phosphorus (P), and potassium (K). The nutrient deficit can lead to low crop quality.

3) Weed protection


Artificial Intelligence Applications in Agriculture

Artificial intelligence technologies are being used by industry to support healthier crops, control pests, monitor land and growing conditions, organize farmers' data, assist with labor loading, and improve an extensive array of farming-related jobs along the supply chain.

1) Monitoring system for soil and crops

The soil type and soil nutrients play a significant role in cultivating the crop type and crop quality. However, as the soil quality is growing, deforestation is degrading, and the soil quality is challenging to detect.

An AI-based application, named Plantix, has been developed by the German-based tech startup PEAT to identify nutrient deficits in soil, including plant pests and illnesses, through which growers may also obtain an idea of using fertilizer to increase harvest quality. The software uses technology based on image recognition. The farmer can capture plant pictures through smartphones. In short movies on this program, we can also witness soil restoration processes using tips and other treatments.

Trace Genomics is another machine, learning-based firm that assists farmers with soil analyses. This type of application helps farmers check soil and crops' health and generate healthy and productively productive harvests.

2) AI-enabled pest detection system

Pests are one of the most destructive enemies of farmers' crops.
AI systems analyze satellite photographs and compare them to previous data to determine whether any insects have landed and, if so, what species of insect has landed (locust, grasshopper, etc.). And send notifications to farmers' smartphones to take the necessary measures and use the essential pest management, allowing AI to assist farmers in their pest control efforts.

3) Agricultural Robotics

AI firms are working on robots that can do a variety of activities in farming fields. Compared to people, this type of robot is trained to suppress weeds and harvest crops faster with more significant volumes. In addition, these robots are programmed to inspect crop quality and detect weeds while picking and packing crops simultaneously. These robots can also deal with the difficulties that agricultural labor faces.

4) Weather forecasting

With the changing climate and increasing pollution, it is difficult for farmers to determine the best time to sow seed. However, with the help of Artificial Intelligence, farmers can analyze weather conditions by using weather forecasting, which helps them plan the type of crop that can be grown and when seeds should be sown.

5) Drones for agricultural health analysis

SkySqurrel Technologies has introduced drone-based Ariel imaging tools for agricultural health monitoring. In this technology, the drone collects data from fields, which is then sent to a computer through a USB drive and examined by professionals.

This company analyzes the taken photographs with algorithms and provides a full report on the farm's current health. In addition, it assists farmers in identifying pests and germs, allowing them to utilize pest management and other measures to take the necessary action on time.

Artificial intelligence in agriculture not only assists farmers in automating their farming. Also, changes to careful cultivation for increased crop production and quality while using fewer resources.

Companies involved in enhancing machine learning or manufacturing artificial intelligence products or services such as training data on agriculture, drone, and automatic machinery will be given more technological advancements to help the world deal with problems of food production for the growing population.