Impact Of Agricultural AI Technologies On The Habitat And Feeding Patterns Of The Nilgai (Boselaphus Tragocamelus) In Hardoi District: A Comprehensive Review

Scientifically, the Nilgai is known as the largest antelope in Asia, which is scientifically referred to as Boselaphus tragocamelus. Such beautiful animals can be found in northern states of India, and, where particularly prevalent, are especially popular in rural areas such as the Hardoi district of Uttar Pradesh. The environment and development of agriculture has changed dramatically over the past few years, in large part because of farming improvements, technology and AI here. These innovations have transformed the agricultural practices and surrounding habitat for the Nilgai. Yet, as farming practices change, new hurdles arise for these lovely animals. Their patterns of doing things are changing, their routes of travel are shifting, and they are discovering food in various manners all inspired by the new kinds of things that are occurring in their habitats. We will discuss recent trends of AI in agriculture drone surveillance, precision farming sensors, automated irrigation, GPS-guided tractors, and AI-based crop protection that are redefining the ecology of the Nilgai. We would like to explore the impact of contemporary farming to wildlife and its larger consequences for these stunning antelopes. In this review, we extract and discuss evidence from diverse ecological studies and reports, including those from the Hardoi region, zoological studies, and interdisciplinary environmental research, with the aim to evaluate the effects of AI-powered agriculture on the habitat and behavior of Nilgai, a large antelope species. We discuss how these advances in technology could influence feeding behaviors, migration patterns, risk perceptions, and interactions with human beings. While AI brings the potential of enhancing throughput and reducing labor costs in agriculture, it poses a series of unexpected ecological problems. These elements include habitat fragmentation, changes in the provision of food over space and time, a reduction in natural food sources, changing wildlife behavior, and escalating conflicts between humans and Nilgai. These interlinks reveal that on the one hand there are great pros and cons to implementing modern farming processes on wildlife and the places they live. The paper concludes that sustainable coexistence will involve the design of AI-enhanced mitigation frameworks, wildlife-friendly precision farming, predictive conflict-monitoring models, and landscape-level ecological planning. Such interfacing of zoology, AI modelling, conservation policy, and traditional ecological knowledge is required to avoid the danger of advancing technologically at the expense of Hardoi's ecological stability and Nilgai survival.