Abstract: This article introduces an innovative crop recommendation system that leverages an attention-based cascaded deep learning network (AACNet) optimized by an improved migration algorithm (IMA).

A new AI decision making tool effectively balances various complex trade-offs to recommend ways of maximizing carbon storage, minimizing economic disruptions and helping improve the environment and ...

Below we have compiled a full list of Google algorithm launches ... to tackle ‘parasite SEO’—a tactic where websites use established domains to manipulate search rankings through third ...

Machine Learning Models: Various machine learning algorithms are employed, including decision trees, random forests ... using appropriate performance metrics to ensure accuracy and reliability. Crop ...

Efficient crop selection is crucial for maximizing yield, ensuring sustainability, and improving farmer profitability. This project uses a Random Forest machine learning model to recommend the most ...

Existing algorithm's like decision tree, random forest have limitations in adapting to local variability. To overcome this and to enhance the agricultural activities, this paper presents an innovative ...