Enhancing crop recommendation with deep residual networks optimized by chronological sparrow search algorithm
International Journal of Advanced Technology and Engineering Exploration · 2025
Agriculture has been part of human survival and evolution for decades [1].The collaboration of farmers with artificial intelligence (AI) transformed conventional agriculture into a novel format that provides more benefits for the survival of humans.In recent times, the gross domestic product (GDP) of many nations heavily depends on agriculture and the production of agricultural goods, highlighting its importance as a key industry.Due to the involvement of machinery and technologies, the majority of the labour in agriculture is substituted to a huge extent, hence improving quality and efficacy and encouraging several people to contribute to agriculture for its livelihood [2]. *Author for correspondenceIndia is recognized as one of the leading producers of agricultural products globally.Agriculture provides livelihoods for 58% of the population and contributes approximately 19% to the GDP [3].The yield of a crop is based on different parameters like conditions of soil, accessible sunshine, rainfall, fertilizer application, irrigation, and preparation of land.The main complication that the majority of Indian farmers endure is that they choose crops based on inherited experience and which are cultivated around, not based on soil properties and weather conditions [1-3].Precision agriculture (PA) is regarded as a promising field in India, with the potential to revolutionize farming practices.PA refers to the use of advanced technologies to achieve 'site-specific' farming.It