What Is Digital Farming?


Author: Richelle
Published: 24 Nov 2021

The Future of Quality Control

It is not just about the people. Consumers at home and abroad are becoming more aware of the products they buy. They want to know where their products come from and they demand high quality.

Smart Farming: A Software-Managed Process

The entire process of smart farming is software-managed and sensor-monitored, which reduces overall prices, increases overall yield, and increases quality of availability. Production efficiency, quality improvements, and sustainable practices have been made possible by automation.

The Use of Digital Technologies for Policy in Agriculture

Digital technologies can support trade in agriculture and food products by connecting private sector suppliers to new markets, and by enabling new ways for governments to monitor and ensure compliance with standards, which are essential for perishable products. The benefits and challenges of using technologies for policy in agriculture are examined by the work of the Organization for Economic Co-operation and Development. There are more issues that include how the regulatory environment can influence sustainable and inclusive use of digital technologies, how technologies might affect skills needs in the sector, and how tracebility technologies can improve agricultural value chain transparency, enhance food safety and combat fraud.

A Digital Farmer's Guide

The owners of a farm in Tennessee are changing how they grow food. The Crafton farms in Portland, Tennessee, use drones, satellite imagery, and precision farming to improve costs, yield, and other key factors. A digital farm is more sustainable than its predecessors.

On a smart, digital farm, crops are likely grown using precision agriculture, tractor self-driving, the harvest could be determined by digital imagery of the fields, and the farmer is typically working with an agronomist to provide technology know-how. Land O'Lakes teaches its co-op farmers how to use WinField United's Answer Plot system to store crop information. The R7 tool is part of the system and it collects data from 200 fields around the US in order to provide data on which hybrid crops will do best in a given area.

Andrew Laney, senior technology manager lead for WinField and Land O'Lakes, said that response is common in farming. Farmers are not likely to change their farming methods if they see a neighbor doing something that works, but they are more likely to adopt the same method if they see someone else doing something. Austin, who runs the farm with his dad, Johnny Crafton, sits down with a cup of coffee in the morning and looks at satellite imagery to see which fields need attention that day.

Crafton can narrow it down to a few fields by knowing which fields might have problems. If you look at a satellite image, you can see a red spot in the middle of the field, and you can know where you are in the field. Laney said that the agronomy takes over.

The farmer can decide if to try to repair the damage or stop spending money on it after a problem is identified. It's better to avoid spending money on a field that isn't going to produce a healthy crop since it's expensive to usefertilizer. Crop modeling is used for precision agriculture.

Digital Agriculture: The Challenges of Sustainable Food Production

A revolution is a sudden and dramatic change in practices that have a significant impact on a function of society and on the operation of society as a whole. Producers are aware of the need for sustainable resource management. They make calculations that are balanced, weighing up the use of chemical inputs with yield forecasting and long-term management of natural capital.

Climate variability, population growth, and ever-changing consumer preferences are some of the challenges modern food systems face. Digital agriculture uses technologies and data science to make on-farm production and supply chains more responsive to real-time consumer demand. Digital information farming practices will see a dollar value on sustainable practices.

Digital technologies in agriculture

Widespread use of automated steering systems, data-driven targeted application of pesticides, field robots and drones, and soil analysis sensors are all part of the advancement of agriculture as elsewhere. The increasing adoption of digital technologies in agriculture is a question that is being asked by farmers and society in general. The economic potential is huge and does not exclude ecological benefits.

The conditions for successful agricultural practices are created by the use of digital technology. The pace of digital transformation is rapid. In 2015, 30 percent of the value created with agricultural machinery worldwide came from software, electronics and sensors, which is three times more than the value created in the automotive industry.

It is essential for farmers and the environment that processes are adapted to a digital technology concept because innovative processes can potentially lead to efficient and resource-friendly sustainable farming. Agriculture is a series of interdependent processes. A good yield can be achieved by organised agricultural work.

The triangle formed by the farmer, technology and service- and consulting concept is what makes a product successful. Precision farming is an agricultural concept that uses new production and management methods to use databout a specific location and crop. Sensor technologies and application methods are used to improve production processes.

Digital data can increase resource and cost efficiency and reduce environmental impact. Digital technologies can beneficial for small farms. Farmers can use digital field records and information stored in them to cut out steps during the planting and harvesting process, transportation of produce from plot to barn, documentation, operational analysis and funding applications.

The Digital Footprint of Farming

Digital farming leaves behind a digital footprint that can be analysed to find future enhancements. The number of internet of things devices in agriculture will increase from 30 million in 2015 to 75 million by 2020. Connected farmers are expected to generate as many as 4.1 million data points each day in the year 2050, up from 190,000 in the year of 2015.

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