Artificial intelligence (AI) revolutionizes food analysis through the provision of fast, accurate, and non-destructive evaluation of the quality, safety, authenticity, and nutritional content of food products. AI methods such as machine learning, deep learning, computer vision, spectroscopy, biosensors, and internet of things (IoT) make it possible to identify food adulteration, contamination, spoilage, and quality issues in real-time while minimizing manual labor and time of analysis. AI also makes it possible to have personalized nutrition, smart packaging, supply chain optimization, and predictive quality management and thus plays an important role in improving food security and sustainability. This article explores the use of artificial intelligence in food composition and quality analysis, the workflow of AI based food analysis, and the different food types that can be analyzed using this technology including dairy products, fruits and vegetables, cereals, meats, seafood, spices, oils, coffee, tea, and processed foods. The advantages, industrial applications, and some of the challenges posed by AI are also discussed in this article.

Mithun (Bos frontalis) is an important livestock resource closely associated with the sociocultural and economic life of tribal communities in Northeast India. Traditional free-range rearing is increasingly challenged by shrinking grazing resources, animal health risks and limited herd monitoring. Scientific management, including semi-intensive rearing, improved feeding, preventive healthcare and systematic herd management, can help address these constraints (Khan & Mitra, 2021; Vikram et al., 2021). Tenning village of Peren district, Nagaland, provides an encouraging example of this transition. With technical guidance and continued field-level support from ICAR?National Research Centre on Mithun (ICAR?NRC on Mithun), farmers gradually adopted semi-intensive Mithun rearing, strengthened animal health management and revived collective action through a farmers? society. The community Mithun herd increased from 12 animals before the intervention to 128 animals by 2025. The experience demonstrates the potential of combining scientific knowledge, traditional community institutions and sustained extension support for strengthening Mithun-based livelihoods.

A kalingada is one of the most important crops of arid and semi-arid regions of Gujarat and desert area of Rajasthan. Traditionally it was already in cultivation. Now a day, due to its rich nutritional composition and balanced profile of various amino acid, it is considered as a potential crop. It?s cultivation is increasing day by day along with exploration of germplasm collection and development of improved varieties with quality parameters. Locally/traditionally, it was in cultivation for vegetable only. But in recent day, it is cultivated for seed, vegetables, oil and protein content. It is cultivated with low requirement of nutrient, irrigation water and other management practices. It is less affected by various biotic and abiotic stress, giving high net return comparison to other major crops, thus better to be known as climate-resilient crop. Apart from these, each part of this crop is useful for humankind and animals also. So, it is noteworthy to say that this crop is ?Kalpataru? or ?Wonder crop?.