This course provides an overview of the issue of postharvest loss of grains by exploring essential physical, technical, and social dimensions of postharvest supply chains and loss prevention methods globally.

Global Postharvest Loss Prevention: Fundamentals, Technologies, and Actors
Ends soon! Save on skills that make you shine with 40% off 3 months of Coursera Plus. Save now

Global Postharvest Loss Prevention: Fundamentals, Technologies, and Actors

Instructor: Dr. Prasanta Kalita
11,558 already enrolled
Included with
178 reviews
Skills you'll gain
- Food and Beverage
- Stakeholder Engagement
- Waste Minimization
- Loss Prevention
- Stakeholder Management
- Production Process
- Food Quality Assurance And Control
- Sustainable Development
- Market Dynamics
- Economic Development
- International Relations
- Knowledge Transfer
- Education and Training
- Supply Chain Systems
- Supply Chain Management
- Economics
- Supply Chain
Details to know

Add to your LinkedIn profile
See how employees at top companies are mastering in-demand skills

There are 5 modules in this course
Instructor

Offered by
Explore more from Environmental Science and Sustainability

University of Illinois Urbana-Champaign

Rutgers the State University of New Jersey

University of Illinois Urbana-Champaign

University of Copenhagen
Why people choose Coursera for their career

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.
Learner reviews
- 5 stars
74.71%
- 4 stars
24.15%
- 3 stars
0.56%
- 2 stars
0.56%
- 1 star
0%
Showing 3 of 178
Reviewed on Nov 17, 2020
The online course is good for students and even professionals. This will help upskill the student and review past knowledge for the professionals. Thank you so much
Reviewed on Jan 28, 2022
It is a fruitful course to the agriculture student and addresses the real world issues of food challenges
Reviewed on Nov 27, 2016
A wonderful piece and a great eye opener on issues of post harvest losses and food security in general. Thanks for the course , nice move.
¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.




