Precision Farming
- Precision agriculture (PA) is an approach where inputs are utilised in precise amounts to get increased average yields, compared to traditional cultivation techniques such as agroforestry, intercropping, crop rotation, etc.
- Sustainable PA is this century’s most valuable innovation in farm management that is based on using Information and Communication Technologies (ICTs).
- It is based on sustainable agriculture and healthy food production and it consists of profitability and increasing production, economic efficiency and the reduction of side effects on the environment.
FEATURES:
A key component of this farm management approach is the use of information technology and a wide array of items such as:
- GPS guidance
- control systems
- sensors, robotics, drones, autonomous vehicles
- variable rate technology (It enables the variable application of inputs and allows farmers to control the amount of inputs they apply in a specific location)
- GPS based soil sampling (Soil sampling allows growers to consider productivity differences within a field and formulate a plan that takes these differences into account)
- automated hardware, telematics, and software (Computer applications can be used to create precise farm plans, field maps, crop scouting and yield maps)
- Benefits:
- Increases agriculture productivity.
- Prevents soil degradation.
- Reduces chemical application in crop production.
- Efficient use of water resources.
- Disseminates modern farm practices to improve the quality, quantity and reduced cost of production.
- Changes the socio-economic status of farmers.
- Challenges:
- Research suggests educational and economic challenges as the two most important in the application of precision agriculture.
- Among the variables that contribute to educational challenges, lack of local experts, funds, knowledgeable research and extension personnel have more of an impact compared to others.
- PA and initial costs have more of an impact among the economic challenges compared to the other issues.
- Research suggests educational and economic challenges as the two most important in the application of precision agriculture.
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