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Agriculture Mechanization – An Overview

Agriculture Mechanization increases the rapidity and speed of work with which farming operations can be performed. It raises the efficiency of labour and enhances farm production per worker. By its nature, it reduces the quantum of labour needed to produce a unit of output.

Agriculture Mechanization increases the rapidity and speed of work with which farming operations can be performed. It raises the efficiency of labour and enhances farm production per worker. By its nature, it reduces the quantum of labour needed to produce a unit of output.

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standardization with the farmer in mind as a user of ICT. Recently, several organizations have been

working to develop standards, and some improvements have already been developed or are in process

(ICT Standards Board, 2006; U.S. Access Board, 2010).1

Centers that store machine, agronomic, and social knowledge will aggregate data to provide valueadded

services for machinery operation and farm management. Some of these data may be collected by

farmers, and some will be provided by public and private sources of agricultural information. Some data

sources, such as remote sensing, have been mentioned, but a number of others will emerge as the

aggregated knowledge in efficient production agriculture increases.

Centers with machine knowledge can help increase equipment uptime and anticipate machine system

failures based on vehicle state variables in operation. Machine data that provide a better understanding

of machine use can also lead to more efficient system designs that meet the needs of farmers.

Agronomic data will create new opportunities for intensive modeling and simulation that can improve

production efficiency by anticipating the impact of weather and various production methods.

In the future, ICT will enable the development of new platforms that can provide more support to

production agriculture by taking advantage of opportunities to connect farmers, the value chain, and

society in ways that are beyond present capabilities. The German-funded iGreen project, for example, is

working on location-based services and knowledge-sharing networks for combining distributed,

heterogeneous public and private information sources as steps toward future ICT systems (iGreen,

2011). Today, we are extremely close to having true CPS and control systems for measuring the “pulse”

of agricultural productivity on planet Earth.

v. Future of Agricultural Mechanisation Seems Promising

With the involvement of digital technology, the future of agricultural mechanisation seems quite

promising.

With the digital revolution quickly transforming every major sector of the global economy, it is no

surprise the magnitude of impact this revolution is having in the world of agriculture.

Today, we see sophisticated technologies such as temperature and moisture sensors, robots, GPS

technology, precision agriculture, amongst others being used to enhance the productivity and

profitability of farmers across continents, as well as keep expensive assets, such as tractors, safe while

they work on the field, usually very far away from their owner’s line of sight.

Secure food system

Taking a close look at mechanisation specifically, so much is being done, technology wise, to ensure that

we are headed toward a secure food system even as our global population continues to skyrocket.

Companies such as Zenvus, Tro-Tro, Kitovu, ThriveAgric & Farmcrowdy are all enabling the success of

mechanisation one way or another through their offerings which are largely targeted at smallholder

farmers.

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