Implementation of AI in Agriculture

Digisailor
3 min readNov 9, 2021

A number of startups in agriculture are adapting AI-enabled approaches to increase efficiency with smart drones, autonomous tractors, soil sensors, and so on. Artificial intelligence in agriculture has revolutionized farming efforts, with a majority of startups adopting AI-powered approaches to increase production efficiency. Let’s dive deep into the future of AI in agriculture.

1. Predicting the weather

There has been a drastic increase in pollution and unpredictable climatic conditions over the years. Farmers have had difficulty determining the right time to sow seeds due to climate change, but artificial intelligence can help them. Artificial intelligence can provide insight into how weather, sun exposure, wind speed, and rain will affect crop planting cycles. Forecasts of the weather can help farmers decide when to plant seeds.

2. Monitoring soil and crop in real-time

Soil is one of the most essential determinants of a plant’s development and health. The crop’s quality is determined by the soil’s nutritional status. Soil quality deteriorates as a result of deforestation, making it harder for farmers to know which soil is ideal for which crop.

3. Using drones for data collection

Crop yield can be improved using real-time sensor data and visual analytics data from drones, thanks to AI and machine learning in agriculture. Drones can provide real-time video surveillance and analysis of agricultural growth patterns.

Smart sensors, on the other hand, can provide information on moisture, fertilizer, and natural nutrient levels. However, one cannot deny that drones are a viable instrument for obtaining data on how various fertilizers, irrigation patterns, and pesticide treatment approaches enhance crop yields.

4. Precision farming

AI in agriculture has resulted in apps that give farmers advice on water management, crop rotation, timely harvesting, optimal planting, and pest attacks, among other things. We can forecast meteorological conditions, control nutrition, and assess crop sustainability using machine learning algorithms and photos obtained by satellites and drones.

Precision farming is a method of increasing crop yields by utilizing data inputs in precise amounts. Farmers can acquire a tailored plan for their farms using their cellphones and AI software. Farmers can fulfill the demands of our current and future worlds with IoT and AI-driven technologies like these.

5. AI-powered robots

Companies using artificial intelligence are developing robots that can do a variety of farming jobs. These robots will be taught to manage the spread of weeds and to collect crops. They’ll be taught how to pick and bag crops as well. When compared to humans, the goal is to automate such manual operations and complete them at a considerably faster rate with bigger volumes.

6. AI-enabled surveillance systems

In agriculture, AI technology allows for the comparison of satellite photos with historical data to detect animal or human intrusions. This eliminates the threat of any domestic or wild animal destroying crops. AI systems can even detect anything as little as a locust, grasshopper, or other bugs. When infiltration is detected, farmers receive warnings on their cellphones, allowing them to take the necessary safeguards.

Benefits of AI in Agriculture

Using artificial intelligence in agriculture can be a more efficient way to produce, harvest, and sell essential crops. Farmers can use AI-enabled approaches to respond smartly to climate change by implementing AI-based approaches. By detecting defective crops and pests, Artificial Intelligence improves crop health and yields. With the help of Artificial Intelligence, it is impossible for wild or domestic animals, or thieves, to ruin your harvest. Technology helps improve crop management practices. Using fewer resources, farmers can increase crop yields while improving crop quality. Artificial intelligence reduces the labor challenge and automates manual labor, accelerating the food transformation.

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