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About

Ian Goodwin is a leading researcher in precision horticulture, whose work bridges sensor technology and plant physiology to transform fruit crop management. His key research areas include remote sensing for crop health assessment, the physiological factors affecting fruit quality, and the development of orchard-specific management strategies. Goodwin’s major contributions are exemplified by his highly cited work on active and passive electro-optical sensors for health assessment in food crops (54 citations), where he demonstrated how non-destructive, spatialized remote sensing can enable early detection of plant stresses—a critical advance for preventing yield losses. He has also pioneered the use of the Green Atlas Cartographer to investigate relationships between tree geometry, fruit number, clustering, size, and colour in commercial apples and pears, providing growers with data-driven tools for precision management. Additionally, his research on within-tree variation in soluble solids concentration in peaches and nectarines, and on remote sensing of nitrogen deficiencies in apple and pear orchards, has deepened understanding of fruit quality determinants. Goodwin’s work has been presented at major international horticultural congresses, and he has critically examined roadblocks to assessing climate impacts on temperate perennial fruit, highlighting his commitment to addressing real-world agricultural challenges. His research directly supports the goal of sustainable, high-quality fruit production through technological innovation.