Abstract
The ability to manage fields not as a single unit but by dividing them into separate areas distinguishes precision farming from traditional agriculture. Technologies and techniques used to improve the crop farming is the main domain we are working under precision agriculture.Optical sensors that use the reflectivity of light placed on growing plants to monitor and record the data about soil and crops in real time are available. Electrochemical sensors,are those that monitor plant, soil, and external factors that have a direct impact on plant growth.. A prototype of an intelligent Agriculture Robot tailored exclusively for seed sowing tasks is exhibited. It is a four-wheeled vehicle driven by an LPC2148 microcontroller. Its operation is based on precision agriculture, which allows for effective seed planting at appropriate depths and distances within crops and rows that are specific to each crop species.This work presents a system for diagnosing cotton leaf diseases in India using image processing. The system uses SVM to classify diseases based on color and texture of images obtained from cotton fields using a digital camera. The images undergo pre-processing, including segmentation and feature extraction. The goal is to reduce loss of yield and productivity by early disease identification.
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