Grapes have proved to be one of the most cost-effective and profitable crops for cultivation in India. This crop however is affected by numerous diseases which cause significant yield losses every year. Early detection proper identification their severity will help take decisions on usage pesticides terms type quantity, eventually maintaining health. In this work, we propose a system classifying three affecting grapes — Anthracnose, Powdery Mildew Downy identifying these using image...

Precision farming technologies are essential for a steady supply of healthy food the increasing population around globe. Pests and diseases remain major threat large fraction crops lost each year due to them. Automated detection crop health from images helps in taking timely actions increase yield while helping reduce input cost. With an aim detect pests with high confidence, we use convolutional neural networks (CNN) boosting techniques on Corn leaf different states. The queen cereals,...

Timely and robust diagnosis of plant diseases nutrient deficiencies play a major role in management crop yield. Automation is low cost alternative to human experts can help detect early onset which aids faster decision making giving recommendations farmers curb yield loss. We have developed smart-phone based participatory sensing application for agriculture used by scout their fields events interest, especially those related health. Recently, deep convolutional neural networks (CNN) emerged...

Carbon (δ13CPDB) and oxygen (δ18OSMOW) isotopic compositions of auriferous quartz-carbonate veins (QCVs) gold deposits from Sangli, Kabuliyatkatti, Nagavi, Nabapur Mysore mining areas developed on the Central Lode system Gadag Gold Field (GGF) in Neoarchaean schist belt Dharwar Craton, southern India have been examined for first time to understand origin mineralising fluids. In majority samples (46 out 49), δ13Cpdb carbonates QCVs fall range − 2.2‰ 9.7‰ δ18O values 12.0‰ 30.5‰ SMOW. The...

In a Wireless Sensor Network (WSN), it is often necessary to know the accurate location of one or more nodes. Various localization methods have been proposed, namely: TDOA, TOA, AOA, GPS and RSSI. All except RSSI require added hardware which increases cost WSN. Moreover, value received radio signals easily available on most sensor We propose set three techniques (mean+filter, mode, mode+filter) for evaluating indoor localization. The are developed with help rigorous experimental data...

Low-cost precise localization is crucial for wireless sensor networks. RSSI based cost effective when compared to TOA, AOA, TDOA, ultrasonic and acoustic as it does not require any extra hardware, power or bandwidth. The radio of nodes provides information about both the LQI a received signal. Localization error can be decreased by simultaneously observing LQI. We propose two novel techniques localizing target node using RSSI+LQI. They are Recursive Bayesian-RSSI-LQI (RB-RSSI-LQI) Maximum...

Timely and accurate recognition of health conditions in crops helps to perform necessary treatment for the plants. Automatically localizing these an image estimating their spread severity, thus saving on precious resources. Automated disease detection involving as well localization identifying multiple diseases from one can be a small step forward robotic farm surveying spraying. Recent developments Deep Neural Networks have drastically improved identification accuracy objects. We leverage...

Economical, low-power, and easy to deploy indoor localization schemes have always been a challenge. We propose technique that utilizes the analog output of pyroelectric (or passive) infrared (PIR) sensors for localization. two models distance estimation based on characterization sensor in terms peak value its relationship with from sensor. The proposed are bijective functions: M <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">bh</sub> using...

Precision sensing through IoT plays an integral role at various stages of crop cultivation to measure the ambient environment and take appropriate action maximise yield. For become pervasive, deployments on farm have overcome multiple limitations around cost, connectivity, flexibility. The solutions be affordable justify their value, transparent flaky connectivity in remote areas, suit modalities associated with different crops. We developed a portable platform edge involving mobile...

Clustering in wireless sensor networks improves lifetime of the network by load distribution, data aggregation and use clusterheads to efficiently route messages central gateway. Parameters governing creation optimal clusters are often numerous domain-specific. The challenges increase with mobile nodes due faster temporal change one or more parameter values like speed distance We propose a Genetic Algorithm based algorithm GAROUTE that performs energy-efficient mobility-aware clustering for...

With the growing population and rapidly increasing demand for food production, delivering greater yields with finite often small cultivable lands is a demanding ask from farmers. Precision crop monitoring Internet of Things (IoT) has potential to dramatically impact digitally revolutionize farming ecosystem. Especially keeping needs developing regions in view, we have developed reliable affordable IoT framework cater pressing farmer. A deployment based on was used monitor Okra during Kharif...

A wireless sensor network based precision animal management system developed by us called Moosense is presented. deployed in the Livestock Research Centre (LRC) of National Dairy Institute (NDRI) Karnal. It spread across a cluster networks where each has set specialized systems, installed on ground or mounted animals, which are responsible for live-monitoring variety cattle-health parameters. Each gateway to devices connected either directly through relay nodes. The gateways central station...

Wisekar - the WIreless SEnsor Knowledge ARchive is presented. It a centralized web repository for collection, management and distribution of events from sensor-enabled devices towards realization Internet Things (IOT). offers flexible multimodal event contribution methods adapted to variety user skill requirement levels. Along with rich visualization capabilities, it versatile in terms its ability extend decorate XML based meta-data images. This allows enforcement rigorous...

Monitoring micro-climatic conditions of a farm is key to achieving Precision Agricultureas it helps in making accurate disease forecasts for better crop protection and improves yieldefficiency towards higher production. This fine-grained costeffective pervasive sensing thefarm enabled with Wireless Sensor Networks (WSN) that have evolved into the modern realm ofInternet Things (IoT). nodes installed as part WSN installation regularly send their measurements gateway aggregates this...

REE composition of the carbonates auriferous quartz carbonate veins (QCVs) Neoarchean Ajjanahalli gold deposit, Chitradurga schist belt, Dharwar Craton, is characterized by U-shaped chondrite normalized patterns with both LREE and HREE enrichment a distinct positive Eu anomaly. As anomaly associated low oxygen fugacity, we propose that fluids responsible for mineralization at could be from an depleted fluid. The observed interpreted to suggest derivation mantle reservoir. location deposit in...

Demand for food is increasing with the growing world population. Cultivable land however decreasing by day due to rapid urbanization, and farm-yield needs increase meet ever-increasing food-security needs. Rapid strides in Internet of Things (IoT) have made it possible carry out a comprehensive monitoring farm at various levels help achieve this while optimally utilizing essential resources. To highly granular view farm, we deployed an IoT based precision farming system consisting cluster...

In organised precision agriculture setups, one has to take time-bound action aligned with the crop phase over a large area of cultivation fixed set resources. A significant fraction this is often human resources that need be deployed for various daily activities. For crops such as tea, quality harvested leaf usually better hand-plucking than mechanised-harvesting. order ensure are utilized effectively, it essential plan movement and quantum work keeping constraints in view like working hours...

Rugged soil moisture sensors with stable measurement profiles are usually expensive for a common farmer. The readings frugal, inexpensive, and often resistive, jittery where the sensor health tends to degrade over period of time. Failing catch reduced reliability due degraded would lead imprecise irrigation decisions. We propose calibration management system that adds layer distributed IoT-edge solution involving frugal help make its adoption pervasive precision farming applications. Our...