ADMATC: Agricultural Technology: Application, Adoption and Ethics

Module code: ADMATC

Module provider: School of Agriculture, Policy and Development

Credits: 20

Level: Postgraduate Masters

When you'll be taught: Semester 2

Module convenor: Professor Paul Hadley, email: p.hadley@reading.ac.uk

Pre-requisite module(s):

Co-requisite module(s):

Pre-requisite or Co-requisite module(s):

Module(s) excluded:

Placement information: NA

Academic year: 2024/5

Available to visiting students: Yes

Talis reading list: No

Last updated: 20 May 2024

Overview

Module aims and purpose

Explore different agricultural technologies and their contribution to sustainability (productivity, environment, society), and consider how we can encourage their adoption on farm. Through lectures, seminars, field trips, and industry engagement, examine technologies such as Artificial Intelligence, robotics, drones, and gene editing. Discuss the ethics of new agricultural technologies, exploring different visions of future innovation, and various issues associated with the proposed ‘fourth agricultural revolution’, e.g. trust in food production, data ownership, security and privacy, animal welfare, the nature of farm employment, farmer physical and mental health. 

Module learning outcomes

By the end of the module, it is expected that students will be able to: 

1. Critically analyse agricultural technology  
2. Identify barriers to adoption of technology and investigate how these can be overcome 
3. Evaluate ethical challenges relating to technology use 

Module content

The module will explore global sustainability challenges facing agriculture and critically evaluate the role of agricultural technology in solving them. We will learn lessons from previous technology revolutions and explore which new technologies can make a difference in agriculture, focusing on arable, livestock and horticultural sectors. These new technologies will include AI, robotics, drones, remote sensing, amongst others. The module will provide a practical introduction to these technologies, but also consider social science approaches to adoption and behaviour change on-farm and also the ethics of their use – e.g. data security, trust, animal welfare. 

Structure

Teaching and learning methods

This module will use a range of teaching and learning methods including lectures, seminars, field trips, industry engagement and online material. 

Study hours

At least 44 hours of scheduled teaching and learning activities will be delivered in person, with the remaining hours for scheduled and self-scheduled teaching and learning activities delivered either in person or online. You will receive further details about how these hours will be delivered before the start of the module.

Please note the independent study hours above are notional numbers of hours; each student will approach studying in different ways. We would advise you to reflect on your learning and the number of hours you are allocating to these tasks.

Semester 1 The hours in this column may include hours during the Christmas holiday period.

Semester 2 The hours in this column may include hours during the Easter holiday period.

Summer The hours in this column will take place during the summer holidays and may be at the start and/or end of the module.

Assessment

Requirements for a pass

Students need to achieve an overall module mark of 50% to pass this module.

Summative assessment

Penalties for late submission of summative assessment

The Support Centres will apply the following penalties for work submitted late:

Assessments with numerical marks

• where the piece of work is submitted after the original deadline (or any formally agreed extension to the deadline): 10% of the total marks available for that piece of work will be deducted from the mark for each working day (or part thereof) following the deadline up to a total of three working days;
• the mark awarded due to the imposition of the penalty shall not fall below the threshold pass mark, namely 40% in the case of modules at Levels 4-6 (i.e. undergraduate modules for Parts 1-3) and 50% in the case of Level 7 modules offered as part of an Integrated Masters or taught postgraduate degree programme;
• where the piece of work is awarded a mark below the threshold pass mark prior to any penalty being imposed, and is submitted up to three working days after the original deadline (or any formally agreed extension to the deadline), no penalty shall be imposed;
• where the piece of work is submitted more than three working days after the original deadline (or any formally agreed extension to the deadline): a mark of zero will be recorded.

Assessments marked Pass/Fail

• where the piece of work is submitted within three working days of the deadline (or any formally agreed extension of the deadline): no penalty will be applied;
• where the piece of work is submitted more than three working days after the original deadline (or any formally agreed extension of the deadline): a grade of Fail will be awarded.

The University policy statement on penalties for late submission can be found at: /cqsd/-/media/project/functions/cqsd/documents/qap/penaltiesforlatesubmission.pdf

You are strongly advised to ensure that coursework is submitted by the relevant deadline. You should note that it is advisable to submit work in an unfinished state rather than to fail to submit any work.

Formative assessment

Formative assessment is any task or activity which creates feedback (or feedforward) for you about your learning, but which does not contribute towards your overall module mark.

• Formative feedback on one chapter of the dissertation, date to be agreed with supervisor
• Formative feedback on one draft of the scientific poster

Reassessment

Additional costs