Adoption of an unmanned helicopter for low-altitude remote sensing to estimate yield and total biomass of a rice crop.

  title={Adoption of an unmanned helicopter for low-altitude remote sensing to estimate yield and total biomass of a rice crop.},
  author={Kishore Chandra Swain and Steven J. Thomson and Hemantha P. W. Jayasuriya},
  journal={Transactions of the ASABE},
A radio-controlled unmanned helicopter-based low-altitude remote sensing (LARS) platform was used to acquire quality images of high spatial and temporal resolution in order to estimate yield and total biomass of a rice crop (Oriza sativa L.). Fifteen rice field plots with five N treatments (0, 33, 66, 99, and 132 kg ha-1) having three replicates each were arranged in a randomized complete block design for estimating yield and biomass as a function of applied N. Images were obtained by image… 

Figures and Tables from this paper

Unmanned aircraft system-derived crop height and normalized difference vegetation index metrics for sorghum yield and aphid stress assessment

Abstract. A small, fixed-wing unmanned aircraft system (UAS) was used to survey a replicated small plot field experiment designed to estimate sorghum damage caused by an invasive aphid. Plant stress

Application of an unmanned aerial system for monitoring paddy productivity using the GRAMI-rice model

It was concluded that the UAS-based remote sensing techniques proposed in this study could represent an innovative way of projecting reliable spatiotemporal crop productivities for precision agriculture.

Feasibility of Drone Imagery for Monitoring Performance of a Modified Drill in a Conservation Farming System

In this paper, performance of a no-till corn planter in a soil covered with previous wheat residue was evaluated. Three levels of crop residue cover (CRC): 30, 45 and 60%, two planting schemes; onbed

Estimation of nitrogen status and yield of rice crop using unmanned aerial vehicle equipped with multispectral camera

Abstract. Nitrogen is one of the essential nutrients required for crop growth, and hence should be applied efficiently for attaining optimum yield. To fulfil nitrogen need, absorbed nitrogen in the

Unmanned aerial systems-based remote sensing for monitoring sorghum growth and development

The observed high correlations between UAS-derived NDVI and the crop growth parameters (fc, LAI and grain yield) suggests the applicability of UAS for within-season data collection of agricultural crops such as sorghum.

Mapping wheat response to variations in N, P, Zn, and irrigation using an unmanned aerial vehicle

ABSTRACT The ability to identify the vulnerable regions within the crop fields assist the farmers in executing the counter plans precisely. In this regard, the unmanned aerial vehicles (UAVs)

Unmanned Aerial Vehicle to Estimate Nitrogen Status of Turfgrasses

UAV imagery can adequately assess the N status of turfgrasses and its spatial variability within a species, so for large areas, such as golf courses, sod farms or race courses, UAV acquired data can optimize turf management.

Low altitude remote sensing technologies for crop stress monitoring: a case study on spatial and temporal monitoring of irrigated pinto bean

Site-specific crop management is a promising approach to maximize crop yield with optimal use of rapidly depleting natural resources. Availability of high resolution crop data at critical growth



Crop Status Monitoring using Multispectral and Thermal Imaging Systems for Accessible Aerial Platforms

Agricultural aircraft and unmanned aerial vehicles (UAVs) are easily scheduled and accessible remote sensing platforms. Canopy temperature data for crop stress analysis were obtained with an

Estimation of cropped area and grain yield of rice using remote sensing data

Abstract Studies for estimating cultivated area and yield of rice using remote sensing data acquired from the Landsat Thematic Mapper (TM) system with six bands (1, 2, 3,4, 5,7) were conducted. Three

Measuring wheat nitrogen status from space and ground‐based platform

The objective of the research was to compare multispectral images of the Ikonos high resolution satellite with optical data collected with a continuously moving ground‐based platform. A Cropscan,

Usefulness of remote sensing for the assessment of growth traits in individual cereal plants grown in the field

Biomass determination usually involves destructive and tedious measurements. This study was conducted to evaluate the usefulness of the Normalized Difference Vegetation Index (NDVI) and the Simple

Crop Yield Assessment from Remote Sensing

Monitoring crop condition and production estimates at the state and county level is of great interest to the U.S. Department of Agriculture. The National Agricultural Statistical Service (NASS) of

Development of autonomous unmanned helicopter based agricultural remote sensing system

This study discusses the development of agricultural remote sensing system using autonomous unmanned helicopter to acquire the crop field image at the right time and right place with high image resolution.

Detecting Crop Growth by a Multi-Spectral Imaging Sensor

The objective of this study is to develop a monitoring system of crop status for precision farming. A Multi-Spectral Imaging Sensor, which can get three wave length images(R, G and NIR)

Evaluation of optical remote sensing models for crop residue cover assessment

Measurement of crop residue cover over large areas is useful for monitoring conservation tillage adoption, assessing carbon sequestration potential and erosion modeling. This study was designed to

Predicting Rice Yield Using Canopy Reflectance Measured at Booting Stage

Abilities to estimate rice (Oryza sativa L.) yields within fields from remote sensing images is not only fundamental to applications of precision agriculture, but can also be very useful to food