Pest control using farming awareness: impact of time delays and optimal use of biopesticides [PDF]
Chaos Solitons Fractals 146 (2021), Art. 110869, 11 pp, 2021 We investigate a mathematical model in crop pest management, considering plant biomass, pest, and the effect of farming awareness. The pest population is divided into two compartments: susceptible pest and infected pest. We assume that the growth rate of self-aware people is proportional to the density of healthy pests present in the crop field ...
arxiv +1 more source
Farming awareness based optimum interventions for crop pest control [PDF]
Math. Biosci. Eng. 18 (2021), no. 5, 5364--5391, 2021 We develop a mathematical model, based on a system of ordinary differential equations, to the upshot of farming alertness in crop pest administration, bearing in mind plant biomass, pest, and level of control. Main qualitative analysis of the proposed mathematical model, akin to both pest-free and coexistence equilibrium points and stability analysis ...
arxiv +1 more source
Controlling crop pest with a farming awareness based integrated approach and optimal control [PDF]
Comput. Math. Methods 3 (2021), no. 6, Paper e1194, 1--24, 2021 We investigate a mathematical model in crop pest controlling, considering plant biomass, pest, and the effect of farming awareness. The pest population is divided into two compartments: susceptible pests and infected pests. We assume that the growth rate of self-aware people is proportional to the density of susceptible pests existing in the crop arena.
arxiv +1 more source
Dynamics of a Double-Impulsive Control Model of Integrated Pest Management Using Perturbation Methods and Floquet Theory [PDF]
Axioms 12 (2023), no. 4, Art. 391, 14 pp, 2023 We formulate an integrated pest management model to control natural pests of the crop through the periodic application of biopesticide and chemical pesticides. In a theoretical analysis of the system pest eradication, a periodic solution is found and established. All the system variables are proved to be bounded.
arxiv +1 more source
Trap-Based Pest Counting: Multiscale and Deformable Attention CenterNet Integrating Internal LR and HR Joint Feature Learning [PDF]
arXiv, 2023 Pest counting, which predicts the number of pests in the early stage, is very important because it enables rapid pest control, reduces damage to crops, and improves productivity. In recent years, light traps have been increasingly used to lure and photograph pests for pest counting.
arxiv
Climate change alters diffusion of forest pest: A model study [PDF]
Journal of the Korean Physical Society 70, 108-115 (2017), 2017 Population dynamics with spatial information is applied to understand the spread of pests. We introduce a model describing how pests spread in discrete space. The number of pest descendants at each site is controlled by local information such as temperature, precipitation, and the density of pine trees.
arxiv +1 more source
Detect caterpillar, grasshopper, aphid and simulation program for neutralizing them by laser [PDF]
arXiv, 2021 The protection of crops from pests is relevant for any cultivated crop. But modern methods of pest control by pesticides carry many dangers for humans. Therefore, research into the development of safe and effective pest control methods is promising. This manuscript presents a new method of pest control.
arxiv
Automated Pest Detection with DNN on the Edge for Precision Agriculture [PDF]
, 2021 Artificial intelligence has smoothly penetrated several economic activities, especially monitoring and control applications, including the agriculture sector. However, research efforts toward low-power sensing devices with fully functional machine learning (ML) on-board are still fragmented and limited in smart farming.
arxiv +1 more source
T(w)o patch or not t(w)o patch: A novel additional food model [PDF]
arXiv, 2023 A number of top down bio-control models have been proposed where the introduced predators' efficacy is enhanced via the provision of additional food (AF). However, if the predator has a pest dependent monotone functional response, pest extinction is unattainable.
arxiv
BOLLWM: A real-world dataset for bollworm pest monitoring from cotton fields in India [PDF]
ICLR 2023 workshop on Practical Machine Learning for Developing
Countries, 2023 This paper presents a dataset of agricultural pest images captured over five years by thousands of small holder farmers and farming extension workers across India. The dataset has been used to support a mobile application that relies on artificial intelligence to assist farmers with pest management decisions.
arxiv