Details of Precision Agriculture and its Detailed Procedure

Precision Agriculture is a concept of farming management based on measuring, observing, and responding to intra- and inter-field variability among crops. The concept is also sometimes referred to as satellite agriculture, which uses information technology to ensure that soil and crops receive what they need for productivity and optimum health.

In this blog, we will discuss the overall process of Precision AG.
So, keep scrolling.

Discussing the Steps of Precision Agriculture in Detail

Precision Agriculture commonly has four interconnected steps, Sensing Layer, AI or Machine Learning Process, Human Involvement, and Smart Interventions leading to artificial intelligence.

Let’s discuss the procedures in detail:

Sensing Layer

The Sensing Layer of Precision Agriculture commonly refers to the physical components like sensors used for collecting data regarding crop and environmental conditions. The form of data collected in the Sensing Layer are:

• Image Data: Images of the crops to analyze information regarding the soil, crops, and pests.
• Sound Data: This is acoustic information gathered through sensors that can be used to monitor different aspects of crop fields.
• Ambient or Physical Data: These are physical measurements collected to understand soil conditions and plant health in detail.

Artificial Intelligence and Machine Learning Process

The next step in Precision Farming is the use of Artificial Intelligence and machine learning. The AI technology helps farmers to make a proper analysis of the crops and to deal with the plant’s health. The artificial intelligence process includes machine learning models, Data analytics, and certain pattern recognition making farmers easy to understand crop conditions.

Human-in-the-Loop

The next step that has to be followed in Precision AG is involving a human or an expert in dealing with plant health. This is a step where a human verification of the crop occurs and expert feedback is also taken after analyzing all the data collected through technology like drones, GPS, and satellite imagery. A precise analysis is done by the experts and then proper management decision-making occurs regarding the crops.

Smart Interventions

Certain smart intervention orders are used in Precision agriculture to optimize the variable rate application of fertilizers, have easy real-time pest detection, and enhance the procedure of automated crop monitoring. These interventions are:

• Animal Deterrent (AI CoExist)
• Plant Health Metrics & Recommendations
• Farm to Market (Supply Chain Integration)

Smart Interventions are directly interconnected with AI and ML Processing as well.

#precisionagriculture #precisionAG #precisionfarming