Abstract
The dynamic change in global environment along with natural hindrances leads to several economic losses by causing several outbreaks and epidemics all over the world resulting in major threat to plants and human health quantitatively and qualitatively. To mitigate all these challenges, it is necessary to break the chain of these co-epidemic conditions which can be successfully accomplished by prior detection of the upcoming risk. Several advanced techniques have been emerged to face these extremities. Smart agriculture concept mainly deals with the modernisation of conventional detection and management tactics which would increase chances of early detection, precision monitoring, and occurrence of pest and diseases. Combination of two or more techniques such as remote sensing with artificial intelligence helps to diagnose characterises and monitors diseases and pest across different spatial scales. Besides remote sensing, there are other myriad techniques such as hyperspectral imaging, UAVs, information and communication, Internet of Things (IoTs), and imaging are available to cope with several disease and pests. Genetic engineering methodologies including CRISPR-Cas, RNAi, and nanotechnology-based proper application of fertilisers and agrochemicals control the plant disease and pest emergence before crossing their respective thresholds. This chapter provides a new perspective for sustainable agriculture from the current researches, new technology for observation of several crops, and their habitat since it not only helps to manage the pests and diseases but also aids in biophysical control on their emergence.
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Ahale, S., Rakhonde, G., Bhateja, S., Kuppuraj, J., Mishra, S. (2024). Disease and Pest Control Through Advance Technology. In: Pandey, K., Kushwaha, N.L., Pande, C.B., Singh, K.G. (eds) Artificial Intelligence and Smart Agriculture. Advances in Geographical and Environmental Sciences. Springer, Singapore. https://doi.org/10.1007/978-981-97-0341-8_21
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