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Timely and robust diagnosis of plant diseases and nutrient deficiencies play a major role in management of crop yield. Automation is a low cost alternative to human experts and can help to detect early onset of crop diseases which aids faster decision making and in giving recommendations to farmers to curb yield loss. We have developed a smart-phone based participatory sensing application for agriculture...
Early information on crops spatial extent is useful from food security standpoint. Growing number of remote sensing satellites are making it easier to map the crop areas in a rapid and cost-effective way. Grape being an commercial fruit crop of India, it is useful to map the grape areas for acreage estimation and monitor its health continuously to get optimum yield. The main contribution of this paper...
A wireless sensor network (WSN) typically involves deploying multiple nodes in an area to measure environmental parameters. WSNs are getting enveloped within the realm of IoT which significantly increases their scale of deployment. The end-objective of deploying a sensor network is to get valuable data about a region irrespective of the physical configuration used for measurement. We propose an Adaptive...
Cultivation of tea is characterized by a number of activities spread over many months in which plucking is a major activity. In north-eastern and southern parts of India where tea is a major crop, plucking involves picking of two leaves and a bud with bare hands which after careful processing is converted into the tea beverage. However, no precise ways to characterize and quantify such activities...
Phythophthora disease, Gummosis, in Citrus crop results in huge yield losses every year. The purpose of this study is to detect the Gummosis disease infested fields using remote sensing and meteorological data. We present the use of participatory sensing framework to collect the reliable ground truth data about the disease incidences. Various vegetation, soil and water indices have been derived from...
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