Post-harvest practices for fruits and vegetables play a vital role in promoting sustainable food production. After harvesting, plants become exceptionally perishable, such as climacteric fruits, for example. Therefore, the preservation of quality and the reduction of losses during the post-harvest phase are imperative not only to meet the food demands of the population but also to contribute to environmental preservation by adopting low-impact techniques. Even before the harvest, a variety of techniques and studies are implemented to enhance the quality and quantity of these agricultural products. In this endeavor, advancements in plant physiology and related methodologies emerge as pivotal factors in addressing these challenges. Understanding the mechanisms underlying these treatments in plants is also of paramount importance in devising novel approaches. The pursuit of interdisciplinary solutions, engaging diverse fields of expertise, is evidently ushering in innovative strategies to address these issues. One noteworthy example is the integration of artificial intelligence techniques with plant physiology, opening new avenues for problem-solving and sustainable agricultural practices.
This Topic aims to gather articles on recent advances and trends in fruit and vegetable physiology and technology, from knowledge at a smaller scale, at the molecular level, the application of treatments and compounds, to techniques that assess physiology on a larger observational scale. We strongly encourage interdisciplinary approaches that leverage different areas of knowledge and techniques to address the proposed objectives.
This Research Topic welcomes submissions related to plant physiology; food science and technology; different areas of knowledge that delve into the proposed problem, studying and contributing to the understanding of physiology and post-harvest techniques. We will also consider papers that focus on pre-harvest physiology and demonstrate its impact on post-harvest outcomes. Papers involving relevant knowledge about other edible structures will also be considered. Potential key subtopics include, but are not limited to:
• Genomics, transcriptomes, metabolomes, proteomics (omics in general) approaches to enhance the quality of fruits and vegetables
• Compound encapsulation for application in fruits and vegetables
• Machine learning techniques associated with pre- and post-harvest physiology (e.g., disease detection)
• Biofortification
• Plant electrophysiology
• The use of coatings/barriers
• The use of atmospheres and other physical treatments
Keywords:
innovative technologies, machine learning, omics, plant stress, post-harvest losses, ripening, shelf life, storage
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
Post-harvest practices for fruits and vegetables play a vital role in promoting sustainable food production. After harvesting, plants become exceptionally perishable, such as climacteric fruits, for example. Therefore, the preservation of quality and the reduction of losses during the post-harvest phase are imperative not only to meet the food demands of the population but also to contribute to environmental preservation by adopting low-impact techniques. Even before the harvest, a variety of techniques and studies are implemented to enhance the quality and quantity of these agricultural products. In this endeavor, advancements in plant physiology and related methodologies emerge as pivotal factors in addressing these challenges. Understanding the mechanisms underlying these treatments in plants is also of paramount importance in devising novel approaches. The pursuit of interdisciplinary solutions, engaging diverse fields of expertise, is evidently ushering in innovative strategies to address these issues. One noteworthy example is the integration of artificial intelligence techniques with plant physiology, opening new avenues for problem-solving and sustainable agricultural practices.
This Topic aims to gather articles on recent advances and trends in fruit and vegetable physiology and technology, from knowledge at a smaller scale, at the molecular level, the application of treatments and compounds, to techniques that assess physiology on a larger observational scale. We strongly encourage interdisciplinary approaches that leverage different areas of knowledge and techniques to address the proposed objectives.
This Research Topic welcomes submissions related to plant physiology; food science and technology; different areas of knowledge that delve into the proposed problem, studying and contributing to the understanding of physiology and post-harvest techniques. We will also consider papers that focus on pre-harvest physiology and demonstrate its impact on post-harvest outcomes. Papers involving relevant knowledge about other edible structures will also be considered. Potential key subtopics include, but are not limited to:
• Genomics, transcriptomes, metabolomes, proteomics (omics in general) approaches to enhance the quality of fruits and vegetables
• Compound encapsulation for application in fruits and vegetables
• Machine learning techniques associated with pre- and post-harvest physiology (e.g., disease detection)
• Biofortification
• Plant electrophysiology
• The use of coatings/barriers
• The use of atmospheres and other physical treatments
Keywords:
innovative technologies, machine learning, omics, plant stress, post-harvest losses, ripening, shelf life, storage
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.