Precise yield predictions are useful for implementing precision agriculture technologies and making better decisions in crop management. Convolutional neural networks (CNNs) have recently been used to predict yields unmanned aerial vehicle (UAV)-based remote sensing studies, but weather data not considered modeling. The aim of this study was explore the potential multimodal deep learning on rice prediction accuracy using UAV multispectral images at heading stage, along with data. effects CNN...

Timely and nondestructive monitoring of leaf area index (LAI) using remote sensing techniques is crucial for precise efficient management crops. In this paper, a new spectral (SI) estimating LAI winter wheat (Triticum aestivum L.) proposed on the basis field hyperspectral measurements. A simple based empirical relationships between LAIs SIs all available two-waveband combinations from data developed by considering difference reflectance values at 760 739 nm (DSIR760–R739 = R760 – R739)....

Reflectance and vegetation indices obtained from aerial images are often used for monitoring crop fields. In recent years, unmanned vehicles (UAVs) have become popular been collected under various solar radiation conditions. The value of observed reflectance considered to be affected by conditions, which may lead inaccurate estimations growth. this study, in order evaluate the effect conditions on images, canopy paddy fields was simulated a radiative transfer model, FLiES (Forest Light...

Red crown rot (RCR) is a soil-borne disease that damages soybean growth and decreases yield. Infected plants show earlier defoliation pencil-like roots, sometimes resulting in mortality. This became common relatively recently, information about its field-scale appearance insufficient. Insufficient data major constraint when planning countermeasures. In this study, unmanned aerial vehicle (UAV)-acquired images were used to visualize the spatial time series variation area damaged by RCR same...

Food security has become a serious concern recently in Southeast Asia. The reduction of agricultural land because economic development is decreasing the food supply. Simultaneously, due to rapid population growth, demand increasing. Therefore, ensure stable supply, it important estimate supply capability rice, which staple most Asian countries. In this study, crop model (SIMRIW-RS) that can combine remote sensing data with (SIMRIW) was used rice yield at regional scale. This applied...

Leaf area index (LAI) is among the most important variables for monitoring crop growth and estimating grain yield. Previous reports have shown that LAI derived from remote sensing data can be effectively applied in simulation models improving accuracy of yield estimation. Therefore, precise estimation expected to useful global growth. In this study, as a preliminary step toward application at regional scale, suitability several vegetation indices multi-year were validated against field...

A rice-planted area map is a basic information resource for rice production management. Synthetic aperture radar (SAR) an appropriate technique mapping and so far mostly based on extracting time series changes of backscattering (σ <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0</sup> ) in area. However, sometimes there not enough data to extract the σ curve To overcome this problem lack data, we propose method detect by using small sets...

Drought is increasingly threatening smallholder farmers in Southeast Asia. The crop insurance system one of the promising countermeasures that was implemented Indonesia 2015. Because damage assessment present conducted through direct investigations based on appearance, it not objective and needs a long time to cover large areas. In this study, we investigated rapid method for paddy fields using vegetation index (VI) taken by an unmanned aerial vehicle (UAV) with multispectral camera 2019...

To evaluate rice production and management on a regional scale, simulation model combined with remote-sensing is recommended. This study aimed to develop for use (SIMRIW-RS) the field-to-field variation in scale. was developed based weather relations called SIMRIW its derived models. The consists of 6 components (water budget, nitrogen uptake, phenological development, leaf area index (LAI) growth, dry matter yield formation) has 2 representative field parameters 5 cultivar parameters. that...

Advances in remote sensing technologies have enabled effective drought monitoring globally, even data-limited areas. However, the negative impact of on crop yields still necessitates stakeholders to make informed decisions according its severity. This research proposes an algorithm combine a model, based rainfall, land surface temperature (LST), and normalized difference vegetation index/leaf area index (NDVI/LAI) satellite products, with simulation model assess rice Thailand. Typical models...

Northeast Thailand is the largest rice cultivation region in Thailand, but yield there quite low. Soil salinity one of major restricted factors, derived from underground rock salt, and predicted to expand future. This study focused on evaluating productivity related conditions Khon Kaen Province, Thailand. The field investigations were conducted 2017 2019 farmer fields severe, moderate, slight soil classes determined by Land Development Department basis electric conductivity saturated...

A widely cited contextual algorithm for fire pixel detection was applied to NOAA-AVHRR data of Indonesia acquired during the severe season 1997. The tended underestimate number pixels. Many pixels which could be identified visually in AVHRR band 3 imagery were missing output algorithm. Through experimentation with data. authors able developed two alterations original enhance accuracy Indonesian context. enhanced made capable detecting that failed identify.

Abstract. Three-dimensional distribution of plant area density (PAD) was retrieved using airborne laser scanning (ALS) data. The calculation PAD requires the number laser-pulses intercepted by materials and which are not trees (i.e., passed laser-pulses) for spatial unit. To estimate at a voxel (1-m in this study), we traced every laser-return its flight line information. assumption that laser-pulse traveled on orthogonal to line, meaning sensor mounted aircraft scanned perpendicularly line....

Rice is the most important crop in Lao People's Democratic Republic (Lao PDR).The improvement of its productivity strongly recommended, but information about growth characteristics farmers' fields limited.This study evaluated dynamics leaf area index (LAI) and analyzed relationship between rice soil Vientiane province, PDR.Because LAI increased almost linearly, a straight-line regression was used for analysis.The yield ranged from 63.8 g m -2 to 411.8 correlated with during later stage.The...

Estimation of rice yield components is required to optimize cultivation management in fields. The leaf area index (LAI) can be a parameter for this estimation, but it has not been evaluated farmers’ In study, we analyzed the relationship between LAI and using data collected over five-year period fields cultivar Hitomebore. Leaf dynamics (LAD) were parameterized by fitting growth function time-series measured canopy analyzer. contribution LAD was multiple regression. LAIs at five points...

Human population growth has led to increases in energy and food production, use of fertilizers, wastewater flows. Enhanced availability nitrogen is a cause eutrophication rivers, lakes, estuaries worldwide. In this study, Citarum River Basin, West Java, Indonesia was selected as target area, supplying 80% domestic water Jakarta Metropolis. Meteorological hydrological data from 1996 2009, spatial such topography, land use, soil properties were collected for model simulation. Conceptual...

Although rice is a major agricultural product in northeast Thailand, its productivity low and unstable because cultivated under rainfed conditions there are issues with soil salinization. In this region, some of the paddy fields have been abandoned severe Therefore, effective management strategies needed to manage salinization for achieving stable production. To realize strategies, it necessary understand spatiotemporal distribution evaluate update using remote sensing data, we first...

In present-day Japan, high quality is the first requirement of rice production. To maintain rice, prejudgment technique has been proposed to control growth or separately harvest depending on its quality. Since generally indexed by grain protein content, which strongly affected nitrogen content leaves, one major techniques based leaf greenness evaluation (i.e., SPAD value). However, under research and not popular with farmers because reliability inadequate. this study, we investigated value...

An abstract is not available for this content so a preview has been provided. As you have access to content, full PDF via the ‘Save PDF’ action button.

In order to validate the availability of rbNDVI (red and blue Normalized Difference Vegetation Index) for chlorophyll estimation, we conducted estimation leaf concentration at heading anthesis stage which highly correlates with grain protein using ground-based aerial hyperspectral data agriculture fields in Gifu prefecture. ground measurement, showed high correlation (γ2=0.731) compared widely used NDVI (Normalized Index; γ2=0.231) TCARI/OSAVI (Transformed Chlorophyll Absorption Reflectance...

In northeast Thailand, 17% of the total agricultural land is classified as salt-affected. future, climate change may exacerbate salt-affected soil problems. Therefore, in this study, we conducted a field survey to evaluate seasonal changes electrical conductivity (ECe) paddy areas Ban Phai District, Khon Kaen Province, Thailand. Fifteen samples were collected every 2 weeks from October 2016 December 2018, and ECe, water content, textures analyzed. Then, HYDRUS-1D model was applied estimate...