… for addressing agriculturalsustainability concerns … agricultural production systems. This research proposed novel technique in agricultural farm monitoring and crop diseaseprediction …
… sustainable solutions for issues related to agriculture … and mitigation of sustainableagriculture Illustrates through case … to address a variety of agriculturaldiseases that are currently on …
D Rajasekar, V Moorthy, P Rajadurai… - … Food and Agriculture, 2024 - Wiley Online Library
… In the agricultural sector, the early identification of plant diseases presents a pressing … vulnerable to an array of diseases. Failure to detect these diseases at their early stages can …
V Udutalapally, SP Mohanty, V Pallagani… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
… CONCLUSION AND FUTURE WORKS In this paper, a solar enabled smart agriculture system coupled with crop diseaseprediction is proposed to aid the farmer in making agriculture …
… agriculture, such as monitoring soil, irrigation, crop disease, … Crop disease management strategies and other … its quality can be enhanced by crop prediction. For this, awareness about …
S Singh, P Jain - Agro-biodiversity and Agri-ecosystem Management, 2022 - Springer
… Accurate prediction of disease has been a breakthrough in smart precision agriculture. AI and ML techniques have better ability to analyse heterogeneous and noisy data with high …
… The statistics indicate that ML is mostly used in the pre-production phase for various applications such as predicting weather conditions, soil properties, weed detection, and disease …
… ) to know how much they accurately predict the potato yields. The … are good at potato yield prediction, GNNs and LSTMs not only … predictive models to support sustainableagricultural …
RJ Cook, CJ Gabriel, A Kelman, S Tolin, AK Vidaver - BioScience, 1995 - JSTOR
… and principles available to understanding and predicting the predator-prey relationships … disease epidemics has provided much of the theory available for understanding and predicting …