Annual crop planning (ACP) is an NP-hard type optimization problem in agricultural
planning. It involves finding the optimal solution for the seasonal hectare allocations of a …

Annual Crop Planning (ACP) is an NP‐hard‐type optimization problem in agricultural
planning. It involves finding optimal solutions concerning the seasonal allocations of a …

The article reviewed the four major Bioinspired intelligent algorithms for agricultural
applications, namely ecological, swarm-intelligence-based, ecology-based, and multi …

Flower pollination algorithm (FPA) is a computational intelligence metaheuristic that takes its
metaphor from flowers proliferation role in plants. This paper provides a comprehensive …

Flower pollination algorithm (FPA) is a nature-inspired meta-heuristics to handle a large
scale optimization process. This paper reviews the previous studies on the application of …

The techniques for solving complex optimization problems using nature inspired
metaheuristic algorithms are widely accepted. Nature inspired methods use nature derived …

The crop growth and crop yield in agriculture depend upon many factors such as weather
conditions, soil type, and application of fertilizers. The crop net return can be increased by …

Industries tend to manufacture higher quality products with a low cost due to the competitive
environmental loop and dynamic customers' demand. The integration of intelligent …

The journey of a modern man from a troglodyte is due to human nature to try to unfold the
mysteries of nature to improve the lives of human beings. A few years back we even can't …

As inferred from its biological nature, agriculture is a key consumer of water resources in
many countries. Hence, today, water management plays an important role in the use of …