Because of the recent advances in drones or Unmanned Aerial Vehicle (UAV) platforms, sensors and software, UAVs have gained popularity among precision agriculture researchers stakeholders for estimating traits such as crop yield diseases. Early detection disease is essential to prevent possible losses on ultimately increasing benefits. However, accurate estimation requires modern data analysis ...

Due to an uneven climatic condition crops are being affected which leads decrease in agriculture yield. It greatly affects global agricultural economy. However, the becomes more worse when diseases identified crops. Agriculture plays a vital role every country’s Thus, there is need identify crop disease before it visible on so that can be avoided by using appropriate measures. The traditional w...

In precision agriculture, detecting productive crop fields is an essential practice that allows the farmer to evaluate operating performance separately and compare different seed varieties, pesticides, fertilizers. However, manually identifying often a time-consuming error-prone task. Previous studies explore methods detect using advanced machine learning algorithms, but they lack good quality ...

In this study, a method for detection of an ssRNA viral pathogen that causes viral flacherie in the silkworm, Bombyx mori (L.) (Lepidoptera: Bombycidae), was used for the detection of B. mori infectious flacherie virus (BmIFV). A combination of nested and reverse transcriptase polymerase chain reaction was used for detection. Although BmIFV has been reported in almost all the sericultural regio...

Diseases in plants cause major production and economic losses as well as reduction in both quality and quantity of agricultural products. Now a day’s plant diseases detection has received increasing attention in monitoring large field of crops. Farmers experience great difficulties in switching from one disease control policy to another. The naked eye observation of experts is the traditional a...

crop productivity, water use efficiency (wue), and microbial biomass c and n in rainfed dry area are influenced by tillage, rotation, and crop residue management. field experiments were conducted during 2005-08 to study the effect of tillage, crop rotation, and crop residue retention on oat fodder yield, water use efficiency, and microbial biomass c (mbc) and n (mbn) under semi-arid conditions ...

agriculture.unl.edu/ RESOURCES Precision farming is an emerging agricultural technology that involves managing each crop input on a site-specific basis to reduce waste, increase profits, and maintain the quality of the environment. Remote sensing is a technology that can be used to obtain various spatial layers of information about soil and crop conditions. It allows detection and/or characteri...

Plants are constantly exposed to potentially pathogenic microbes present in their surrounding environment. Due to the activation of the pattern-triggered immunity (PTI) response that largely relies on accurate detection of pathogen- or microbe-associated molecular patterns by pattern-recognition receptors (PRRs), plants are resistant to the majority of potential pathogens. However, adapted path...

Crop disease detection with remote sensing is a challenging area that can have significant economic and environmental impact on crop disease management. Spectroscopic remote sensing in the visible and near-infrared (NIR) region has the potential to detect crop changes due to diseases. Soybean cyst nematode (SCN) and sudden death syndrome (SDS) are two common soybean diseases that are extremely ...

BACKGROUND The recent U.S. Geological Survey policy offering Landsat satellite data at no cost provides researchers new opportunities to explore relationships between environment and health. The purpose of this study was to examine the potential for using Landsat satellite data to support pesticide exposure assessment in California. METHODS AND RESULTS We collected a dense time series of 24 L...