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AI Tool Predicts Neem Fruit Metabolite Content

Facts for Prelims (FFP)


Source: TH


Context: Researchers at Jawaharlal Nehru University’s School of Biotechnology have developed an Artificial Intelligence-based tool to predict the metabolite content in neem fruits, specifically azadirachtin, which is used as a biopesticide.

  • The AI model analyses images of neem leaves and fruits to classify them as having either low or high azadirachtin content, eliminating the need for expensive and cumbersome analytical equipment like high-performance liquid chromatography (HPLC).
  • The model, trained using deep learning frameworks and synthetic image augmentation, achieved high accuracy in classifying fruit metabolite content.


An Android app called Fruit-in-Sight has been developed based on the best predictive model, enabling fruit pickers to quickly assess azadirachtin content in neem fruits in the field, empowering them to select fruits with high azadirachtin content efficiently.

This innovation is expected to streamline the neem industry without additional cost, time, or effort.