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Agriculture is one of the oldest occupations in the world. From the times of Harappan and Mesopotamian civilizations, agriculture and farming have been fulfilling our constant need for sustenance. Early humans used to hunt for food. As society advanced, different methods of food production came into being. Farming was the first step taken by man towards food production and distribution. Earlier, man used to grow food and consume his own food t and live a happy life. Nowadays, food is manufactured in factory units with food processors using artificial Intelligence. This agricultural industry is spread all across the world and generates trillions in revenue. Data management, data processing, and data labeling all need to be performed on a large scale to make sure this process of creation and distribution is carried out smoothly.
The 21st century demands large scale food production. There are 7.8 billion people in the world whose hunger needs satisfying. . This is where artificial intelligence comes in handy and plays a major role in the field of agriculture crop yielding, soil examination, metrics harvesting, managing metrics of crop health, organizing data, and irrigation. It is without a doubt that artificial intelligence is helping farmers increase their ROI.
Let’s dig in to understand the effects of Artificial Intelligence on agriculture.
1. Image recognition
Image recognition is the basic step for machine learning. The image and pattern recognition helps in gaining visual depth. It helps to trace different crops and substances used. It is used in UVs, surveillance, geolocalization, and health. Image recognition helps in finding loopholes that could have easily been missed by the farmers. Thus, it helps in getting a clearer picture of the farm. This image recognition is the most crucial step in AI and is used in almost every AI model.
2. Save Manpower
Maximize work with minimum effort! Artificial Intelligence has helped in achieving this goal. With the help of Artificial Intelligence, farmers can spend more time analyzing their crops rather than doing the manual work themselves. Many repetitive tasks are easily handled by Artificial Intelligence technology. It saves time and increases efficiency. The automated processes have changed the agricultural game and provided a sigh of relief to farmers.
3. Chatbot assistance
Farms are generally located in remote areas. Most farmers just fetch the land passed on by their ancestors. Thus, transferring knowledge and assistance gets difficult. However, Artificial Intelligence chatbots come in handy. They are trained with NLP and help understand even regional languages of farmers. They provide personalized assistance or connect the farmer with a skilled person. The chatbots are equipped with all services, including voice-over, digital transactions, etc.
4. Weed Control
Controlling the growth of weeds and saving crops from getting destroyed is the biggest concern for farmers the world over. A weed infection is contagious and spreads to crops planted in close vicinity to each other. Thus, regulating this infection is the biggest challenge. Artificial Intelligence-led automation and robotics help farmers find effective ways to deal with this problem. Artificial Intelligence technology allows visual monitoring of crops. This helps target pain points precisely while spraying away from the pesticide. This allows farmers to limit the usage of pesticides, while simultaneously removing weeds.
5. Soil examining
Soil is the foundation of agriculture. Repeated cultivation degrades the quality of the land and leaves it barren and uncultivable. Many misinformed farmers don’t pay heed to this and continue plowing the same field continuously. This affects both the land and the crops. Artificial Intelligence technology examines the soil and identifies pain points, gives customized solutions, and analyzes the progress of the soil. It also uses image recognition to trace out soil patterns., The advanced technology works with multiple algorithms and provides results with 95% accuracy. These Artificial Intelligence-led models are a boon to the agriculture sector.
Water is the basic requirement for irrigation. methods of irrigation waste a lot of water. The rapid growth of civilization cannot endure this wastage. Thus, Artificial Intelligence has produced automated irrigation methods. These Artificial Intelligence models schedule water runs, study ph levels and fertility of crops, regulate the amount of water required by individual crops, etc.
7. Crop analysis via Drones
Drones are readily being invested in by multiple industries. The agriculture industry also uses Artificial Intelligence-led drones.-covering vast grounds in minutes! These drones are used on multiple fronts from crop health, irrigation, and monitoring to wildlife and disaster monitoring. The drones help in aiming towards far fetched places, where the naked eye cannot reach. The winter fog makes it impossible to examine the field. Thus, drones come in handy. Farmers can also deploy systems at home and keep a check on their farms. They are also helpful in distributing products to far off places. Crop spraying is an essential practice in all farmlands and drones have made this process seamless. The required amount is sprayed with no wastage. Thus, revenue and health both are taken care of!
8. Weather prediction
Weather is an important aspect of agriculture. Unprecedented weather conditions may lead to a lot of financial loss. Thus, planned sowing seasons are recommended. Artificial Intelligence has come a long way and provides highly accurate weather predictions. The farmer can now be aware of the speeds of the wind, humidity, rainfall, etc. Thus, it helps them to plan the crop season keeping the weather conditions in mind. This Artificial Intelligence-led technology provides detailed weather predictions and helps farmers keep track of the weather conditions for up to two weeks.
Artificial Intelligence-led technologies have been dominating the agriculture sector. It is making work more efficient and secure for farmers. This adoption of AI technology is also conserving water and land resources. These automated processes have changed the agricultural scene entirely. Data science, data monitoring, and data processing are now all done in the least amount of time with maximum profitability and minimum possible time with Artificial Intelligence-led technology. The future of AI in agriculture looks brighter by the day.