Our team at Agricultural Robotics is so excited to congratulate Maisa Pereira on her thesis submission, delivering outstanding work as a CQUniversity Elevate Scholarship recipient, supported by Freelance Robotics. Her dedication to advancing machine vision capability for fruit sizing in mangoes has resulted in valuable insights for predicting harvest weights and improving crop management.
During her research, Maisa explored weekly mango weight trends throughout the season, using a logistic model to accurately forecast fruit weight at harvest. She demonstrated that, unlike simple linear projections, the logistic model offers impressive accuracy, with error margins decreasing to just 1% when used one week before harvest. Her model has shown promise even under varying growth conditions, providing a reliable tool for mango producers to predict and enhance harvest outcomes.
Maisa’s innovative work also involved correlating fruit weight with lineal measurements of length, width, and thickness, allowing for accurate weight predictions while the fruit is still on the tree. This relationship has held consistently across different mango cultivars and growing conditions, with remarkable stability, particularly after the critical stage of stone hardening.
Maisa’s contributions exemplify how data-driven insights and advanced technology can drive agriculture forward. We’re proud to have supported her journey and look forward to seeing her continued impact in the field. Congratulations, Maisa!
