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How Computer Vision is Changing the World of Harvesting

Fruit of the Future

By IGI Global on Nov 4, 2013
Contributed by Kaitlyn Retherford, Discipline Manager
Fruit Of The Future
Gone are the days of farmers harvesting and sorting apples by hand. Now, technologies such as computer vision and automation are transforming the apple harvesting industry into a lean, mean, production machine. As outlined in the article, “This Isn't Your Granny Smith's Harvesting Technology” by Lindsay Smith (NPR), apple growers in Michigan are now utilizing these advanced processes to not only inspect the quality of their fruit, but to also get the product into the hands of consumers much more efficiently.

For farmers such as Rob Steffens from West Michigan, these innovative and highly advanced technologies are making his job, as well as the jobs of his fellow apple harvesters, much easier. In Steffen’s warehouse, a machine floats apples through a tunnel, where high-resolution cameras then take pictures of the fruit to not only sort them by size and color, but also in order to discard of those with blemishes.

“The automatic inspection of quality in fruits is becoming of paramount importance in order to decrease production costs and increase quality standards,” states C. J. Prabhakar and S. H. Mohana from Kuvempu University in India, authors of the IGI Global chapter titled, "Computer Vision Based Technique for Surface Defect Detection of Apples". The authors go on to discuss the technologies that are being utilized by farmers all over the world, and how, “computer vision techniques are used in the fruit industry for fruit grading, sorting, and defect detection.”

This innovative chapter is part of one of IGI Global’s latest publications, Research Developments in Computer Vision and Image Processing: Methodologies and Applications, edited by Rajeev Srivastava, S. K. Singh, and K. K. Shukla of the Indian Institute of Technology in India. Similar to the way in which computer vision and computer graphics act as the dual fields that connect image processing in modern computer science, the field of image processing can be considered a crucial middle road between the vision and graphics fields. This book brings together various research methodologies and trends in emerging areas of application of computer vision and image processing, ranging from areas such as healthcare and image restoration, to the new age approaches of harvesting apples.

Research Developments in Computer Vision and Image Processing: Methodologies and Applications is part of the Advances in Computational Intelligence and Robotics book series bundle, which encourages scholarly discourse on all topics pertaining to evolutionary computing, artificial life, computational intelligence, machine learning, and robotics.

For similar IGI Global titles, be sure to check out the Computer Vision and Image Processing Topic Collection bundle. This collection includes 19 scholarly titles on bioinformatics, multimedia technology, digital communication, computer vision, and image processing, and it also emphasizes the importance of technology in the multimedia field.
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