The application of artificial intelligence technology in the field of agriculture will help farmers increase their yields
Agriculture is one of the oldest and most important industries in the world. The world's population is growing rapidly, increasing the demand for food and employment.
As a result, new automated methods are being introduced to meet food demand.
Due to labor shortages, stricter legislation, an increasing global population and a dwindling number of farmers, farmers are forced to seek new solutions.
Technologies such as the Internet of Things, big data and analytics, artificial intelligence (AI), and machine learning (ML) have found their way into almost every industry.
Efforts and research are underway to improve the quality and quantity of agricultural products through "smart agriculture" and make them "connected" and "smart".
1. Artificial intelligence
Artificial intelligence is an interdisciplinary field of research that aims to replicate human intelligence into robots that resemble human cognition and behavior, including learning and problem solving.
Research scientists and extension specialists are now using AI technology to solve problems in agricultural productivity.
AI technology can help farmers increase yields by helping them choose the right crop type, adopt improved soil and nutrient management methods, manage pests and diseases, estimate crop yields, and predict commodity prices.
Leverage cutting-edge approaches such as deep learning, robotics, IoT, image processing, artificial neural networks, wireless sensor networks (WSNs), machine learning, and more to address agricultural challenges.
These AI technologies can now help farmers monitor several items obtained from their farms in real time, such as weather, temperature, water consumption, or soil conditions, to better inform their decisions.
Used to develop smart farming practices that reduce losses for farmers while providing them with high yields.
2. Agriculture needs artificial intelligence
Agriculture is a labor-intensive occupation, and automation is becoming increasingly important as the population and the demands of agricultural production increase.
AI has greatly helped farmers in terms of components, technologies and applications. Predictive analytics and improved farm and crop management systems guarantee crop quality and availability.
With satellite photos and meteorological information, businesses can determine planted acreage and track crop health in real time. Businesses can use big data, artificial intelligence, and machine learning techniques to predict prices, calculate tomato yields and yields, and identify pests and diseases.
They can advise farmers on the level of demand, the crop varieties to be grown for optimal profits, the use of pesticides, and future pricing models.
AI will be a powerful tool to help organizations deal with the increasing complexity of modern agriculture, as it greatly reduces resource and labor shortages.
3. Application of artificial intelligence in agriculture
Artificial intelligence in agriculture can be used for various technological advances. This includes consulting services, data analytics, the Internet of Things, the use of cameras and other sensors, among others.
AI in agriculture will have enough power to generate better predictive insights by examining various data sources such as weather, soil, crop performance, and temperature.
The study investigates risks in agriculture such as interoperability, security, data reliability, and the unintended socio-ecological consequences of using ML models to optimize yields.
AI can be used in agriculture to improve crop management and yield by quickly identifying plant diseases and effectively managing agrochemicals.
ML can help with rapid plant phenotyping, agricultural monitoring, soil composition assessment, weather forecasting, and yield forecasting. More and more farmers are adopting artificial intelligence, the Internet of Things, and other technological advancements to increase the productivity of their land.
4. Future scope
In the future, AI technology will provide innovative and precise solutions to the major agricultural problems facing farmers around the world.
AI will provide solutions for almost everything, from pest control to weather forecasting to agricultural work assistance.
In the coming years, there will be more exciting discoveries of artificial intelligence directly related to agriculture. In the future, AI will help farmers become agricultural scientists, using data to optimize yields for each row of plants.
AI companies are developing robots that can easily complete a variety of tasks in a farm environment.
The robot is designed to pick crops faster and more thoroughly than humans. These robots are taught to harvest and pack crops while checking crop quality and weeds.
These robots can also overcome the difficulties faced by agricultural labor. AI algorithms use satellite photos and historical data to detect if an insect has landed, and what is the insect that landed, such as a grasshopper or a locust.
AI helps farmers with pest management, taking necessary measures and applying appropriate insect control by sending notifications to their phones.
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