Forecast Plant life using Artificial Intelligence

M. Sravanthi, Dr. Bhaludra R Nadh Singh, Ms. Badalgama Sandhya Rani, Ms. ChandaSharanya, Ms. Vulupala, Sri Varsha
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Abstract

India is primarily an agricultural economy, hence accurate diagnosis of plant diseases is crucial to minimizing economic losses. Spending millions of rupees every year to safeguard crops from a wide range of diseases is only possible because of the outdated methods of plant disease diagnosis. Human detection of plant disease is imperfect at best. There is no guarantee of an accurate outcome, even with the help of experts in plant diseases, the time, effort, and knowledge required to diagnose the precise illness. Machine learning and image processing are two such technologies that have proven effective in this regard. By analysing plant photos captured by cameras, we show how machine learning may be applied to a specific issue in plant disease diagnosis.
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利用人工智能预测植物寿命
印度主要是农业经济体,因此准确诊断植物病害对于尽量减少经济损失至关重要。由于植物疾病诊断方法过时,每年花费数百万卢比保护作物免受各种疾病的侵害是唯一可能的。人类对植物病害的检测充其量是不完善的。即使有植物疾病专家的帮助,花费时间、精力和知识来准确诊断疾病,也不能保证得到准确的结果。机器学习和图像处理是在这方面被证明有效的两种技术。通过分析相机拍摄的植物照片,我们展示了机器学习如何应用于植物疾病诊断的特定问题。
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