Precision agriculture is the use of data, sensors, and technology to optimize crop production, reduce environmental impact, and increase profitability. It is one of the most promising and innovative fields of agriculture today, with many successful case studies and examples from around the world. Therefore , most impressive and inspiring applications of precision agriculture in different crops and contexts will be discussed are(problems should be focused especially intern of Irrigation mgmt, crop protection and yield, livestock, soil health and urban agriculture).
Precision agriculture is the use of data, sensors, and technology to optimize crop production, reduce environmental impact, and increase profitability. It is one of the most promising and innovative fields of agriculture today, with many successful case studies and examples from around the world. In this article, we will explore some of the most impressive and inspiring applications of precision agriculture in different crops and contexts.
Variable rate irrigation
One of the key challenges of agriculture is to provide the right amount of water to the crops, without wasting it or causing runoff. Variable rate irrigation (VRI) is a technology that allows farmers to adjust the water flow and pressure of each sprinkler or nozzle according to the soil moisture, crop stage, and weather conditions. VRI can save water, energy, and fertilizer, as well as improve crop quality and yield.
Crop sensing and spraying
Another challenge of agriculture is to apply the optimal amount and type of pesticides, herbicides, and fungicides to the crops, without harming the environment or human health. Crop sensing and spraying is a technology that uses sensors, cameras, and drones to detect weeds, pests, and diseases in the crops, and then spray the appropriate chemicals only on the affected areas. This can reduce the use of chemicals, increase the efficiency of spraying, and prevent resistance and contamination.
Yield mapping and forecasting
One of the main goals of agriculture is to maximize the yield and quality of the crops, while minimizing the risks and uncertainties. Yield mapping and forecasting is a technology that uses GPS, sensors, and machine learning to measure and predict the yield and quality of the crops across different locations and conditions. This can help farmers to plan their harvest, marketing, and storage strategies, as well as to identify and address the factors that affect their productivity.
Soil health monitoring
One of the fundamental aspects of agriculture is to maintain and improve the health and fertility of the soil, which is the basis of all crop production. Soil health monitoring is a technology that uses sensors, probes, and analytics to measure and analyze the physical, chemical, and biological properties of the soil, such as moisture, pH, organic matter, nutrients, and microbes. This can help farmers to understand the soil conditions, optimize the soil management practices, and enhance the soil functions.
Livestock tracking and management
One of the growing sectors of agriculture is livestock production, which requires careful and efficient management of the animals, their health, and their resources. Livestock tracking and management is a technology that uses sensors, tags, and software to monitor and control the location, movement, behavior, and performance of the animals, as well as their feed, water, and health status. This can help farmers to improve animal welfare, reduce losses, and increase profits.
Precision urban farming
One of the emerging trends of agriculture is urban farming, which is the practice of growing food in or near urban areas, using vertical, rooftop, or indoor spaces. Precision urban farming is a technology that uses hydroponics, aeroponics, or aquaponics to grow plants without soil, using LED lights, sensors, and automation to control the temperature, humidity, light, and nutrient levels. This can help urban farmers to produce fresh, local, and organic food, while saving water, space, and energy.
Briefly, the big advantages take time to develop due to the combined effects of minimum/zero tillage and controlled traffic
The use of data to make good irrigation and other decisions. Examples lie in many of the papers offered on ResearchGate. Some ideas and the related software are available at https://github.com/SoothingMist. Github has several offerings in the domain of precision agriculture.
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