Tri Setiyono

Tri Setiyono
Louisiana State University | LSU · School of Plant, Environmental, and Soil Sciences

PhD

About

41
Publications
58,853
Reads
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1,349
Citations
Citations since 2016
14 Research Items
1014 Citations
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2016201720182019202020212022050100150
2016201720182019202020212022050100150
Introduction
Skills and Expertise

Publications

Publications (41)
Article
Full-text available
Spatial yield variability results from complex interactions among several biotic and abiotic factors and management etc. To understand causes of spatial yield variability, yield gap analysis for factors that limit yield, and estimate the economic consequences of moving from uniform to spatially variable management, the present investigation was car...
Conference Paper
Full-text available
The Satellite based Rice Monitoring System for Andhra Pradesh (APSRMS) project aims to support capacity development by establishing and maintaining a rice monitoring system that provides regular crop condition updates to the state government and rapid damage assessment in the event of extreme climate conditions to support intervention by government...
Conference Paper
Full-text available
Remote Sensing based Rice crop insurances as an operational service in India using Sentinel 1A and ORYZA crop simulation model *S. Pazhanivelan1, K.P.Ragunath1, N.S.Sudarmanian1, R. Kumaraperumal1, Tri setiyono2 and E.D. Quicho2 1 Department of Remote Sensing and GIS, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India - ragunathkp@gm...
Article
Full-text available
Lowland rice in tropical and subtropical regions can be detected precisely and its crop growth can be tracked effectively through Synthetic Aperture Radar (SAR) imagery, especially where cloud cover restricts the use of optical imagery. Parameterised classification with multi-temporal features derived from regularly acquired, C-band, VV and VH pola...
Article
Full-text available
Mapping the extent of damage due to natural calamities remains one of the thrust areas in monitoring resource inventory through geo-spatial techniques. The effect of the cyclone ‘Titli’ and heavy rains during first fortnight of October 2018 in Srikakulam district, Andhra Pradesh State has been demonstrated using geo-spatial technology in terms of f...
Poster
Full-text available
This poster discussed the yield estimation processes using crop modeling and remote sensing data under Rice Crop Monitoring project in Andhra Pradesh.
Article
Full-text available
A rice yield estimation system was developed based on the crop growth model ORYZA and SAR-derived key information such as start of season (SOS) and leaf area growth rate. Results from study sites in South and South-east Asian countries suggest that incorporating remote sensing data, specifically Synthetic aperture radar (SAR), into a process-based...
Article
Full-text available
Crop insurance is a viable solution to reduce the vulnerability of smallholder farmers to risks from pest and disease outbreaks, extreme weather events, and market shocks that threaten their household food and income security. In developing and emerging countries, the implementation of area yield-based insurance, the form of crop insurance preferre...
Article
Full-text available
Reliable and regular rice information is essential part of many countries' national accounting process but the existing system may not be sufficient to meet the information demand in the context of food security and policy. Synthetic Aperture Radar (SAR) imagery is highly suitable for detecting lowland paddy rice, especially in tropical region wher...
Technical Report
Full-text available
Key Messages: - All participants in the study have witnessed a change in weather in the last 10 years. Most notably, temperatures have increased and become more variable while precipitation has decreased and become more variable. - Perceptions of climate change in Vietnam do not appear to be individual but rather disaggregated at the household lev...
Technical Report
Full-text available
This report was constructed to assess the current perceptions and policies regarding climate change in Vietnam. The report comprises a country report, outlining current policies relating to climate change, stakeholder mapping regarding climate change locally and nationally, and results from two stakeholder perception surveys conducted locally and n...
Technical Report
Full-text available
This report was constructed to assess the current perceptions and policies regarding climate change in Myanmar. It is comprised of a country report outlining current policies relating to climate change, as well as results from two stakeholder perception surveys conducted at the local and national level in Myanmar. The stakeholder perception survey...
Conference Paper
Full-text available
Rice is the most important cereal crop governing food security in Asia. Reliable and regular information on the area under rice production is the basis of policy decisions related to imports, exports and prices which directly affect food security. Recent and planned launches of SAR sensors coupled with automated processing can provide sustainable s...
Article
Full-text available
Rice is the most important food security crop in Asia. Information on its seasonal extent forms part of the national accounting of many Asian countries. Synthetic Aperture Radar (SAR) imagery is highly suitable for detecting lowland rice, especially in tropical and sub-tropical regions where pervasive cloud cover in the rainy seasons precludes the...
Article
Full-text available
The efficiency of irrigation water use is improved if irrigations are scheduled only when soil water depletion exceeds a chosen crop-specific threshold percentage of field capacity (FC). Further improvement may be possible by accounting for seasonal variance in yield sensitivity to water stress. In soybean [Glycine max (L.) Merr.], the vegetative a...
Conference Paper
Full-text available
One goal of the Remote Sensing based Information and Insurance for Crops in emerging Economies (RIICE) project is to estimate, on an operational basis, rice production at national scale in primis targeted to food security and crop insurance purposes. There are two unique elements to this proposed service: 1. Multi-year, annual, and seasonal SAR dat...
Article
The RIICE project aims to develop a national rice information system that provides timely and accurate information on rice area, production, yield estimates, and production losses due to calamities to address food security and crop insurance purposes. This project makes use of remote sensing imagery from Synthetic Aperture Radar (SAR) platforms to...
Article
Full-text available
Forecast simulation of soybean [Glycine max (L.) Merr.] vegetative stem node (Vn) and reproductive (Rn) phases can be used to improve timing of agronomic practices to optimize input use efficiency. A soybean model (SoySim) was used to predict soybean phenological stages in researcher and producer fields and to evaluate sources of variance. Evaluati...
Article
Full-text available
At any given time, the leaf area index (LAI) of a soybean [Glycine max (L.) Merr.] crop consists of the summed contributions of each trifoliolate leaf present at each main stem node and on branches. No data are available on nodal LAI distributions in modern indeterminate (IN) or semi-determinate (SD) cultivars grown in irrigated, early-planted, hig...
Article
Full-text available
Nitrogen fertilizer efficiency has a large influence on profit, energy efficiency, N losses to the environment, and greenhouse gas emissions in maize (Zea mays L.) production. Our purpose was to develop a robust decision-support tool to help inform N fertilizer recommendations and to compare performance of this tool relative to existing recommendat...
Conference Paper
Simulation of crop phenology is critical for accurate estimates of yield. Some models require several genotype-specific coefficients (GSCs) as input to get phenology right, and often these coefficients are difficult to estimate and are not stable across environments for the same cultivar or hybrid. Other models were developed with the goal of using...
Article
Full-text available
SoySim is a new soybean (Glycine max, L. Merr) simulation model that combines existing approaches for the simulation of photosynthesis, biomass accumulation and partitioning with several new components: (i) flowering based on floral induction and post-induction processes, (ii) leaf area index based on logistic expansion and senescence functions, (i...
Article
Full-text available
Generic, robust models are needed for estimating crop nutrient uptake requirements. We quantified and modeled grain yield–nutrient uptake relations in maize grown without significant biotic and abiotic stresses. Grain yield and plant nutrient accumulation in above-ground plant dry matter (DM) of commercial maize hybrids were measured at physiologic...
Article
Full-text available
Different approaches have been used to simulate leaf area index (LAI) in soybean (Glycine max L. Merr). Many of these approaches require genotype-specific calibration procedures. Studies modeling LAI dynamics under optimal growth conditions with yields close to the yield potential of soybean have remained scarce. A sink-driven approach was develope...
Article
Full-text available
The sensitivity of soybean [Glycine max (L.) Merr.] main stem node accrual to ambient temperature has been documented in greenhouse-grown plants but not with field-grown plants in the north-central United States. Biweekly V-node and R-stage, stem node number, internode length, and other traits were quantified in an irrigated split-plot, four-replic...
Article
Full-text available
Temperature and photoperiod can be used to simulate soybean (Glycine max [L.] Merr) phenology because they serve as surrogates for complex biochemical pathways leading to the appearance of certain developmental stages at the whole plant level. We developed a soybean phenology model (SOYDEV) which utilizes non-linear temperature and photoperiod func...
Article
Full-text available
Electronic text and images (PDF). Mode of access: World Wide Web. System requirements: Adobe Acrobat Reader. Title from title screen (site viewed July 10, 2007). PDF text: ix, 203 p. : ill. Thesis (Ph.D.)--University of Nebraska-Lincoln, 2007. Includes bibliographical references. UMI publication number: AAT 3254330.
Article
Full-text available
The Maize-N model is a computer simulation program for recommendation of nitrogen (N) fertilizer rate for the maize crop (Zea mays L.). It deploys a series of systematic and mechanistic analyses of climatic information, soil properties, and cropping system characteristics of a given field. The Maize-N model is composed of three major modules: (1) m...
Article
Full-text available
Introduction Crop yield potential is achieved when an adapted cultivar is grown without yield loss from nutrient deficiencies, soil toxicities, weed pressure, or disease and insect damage (Evans, 1993). For soybean, yields in excess of 100 bu/ac have been reported at various sites in the USA (Cooper, 1982; Flannery, 1983; Specht et al., 1999). It h...
Article
Full-text available
Knowledge of soybean [Glycine max (L.) Merr.] primary, secondary, and tertiary root tip locations in the soil vs. seasonal time would enhance modeling of soybean development. The seasonal progression of root tip development and shoot phenology was evaluated in situ using an imaging device inserted into minirhizotron tubes installed in the soil at a...

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Projects

Projects (4)
Project
Rice area mapping and estimation rice yield forecast
Project
Specific objectives of RIICE include: - Provision of reliable rice production information to the government / MARD - To transfer to national partners the appropriate know-how in terms of SAR technology, crop growth modelling as well as the development and maintenance of a website for the dissemination of data. - Improving efficiency and service quality of crop insurance business by providing better, satellite-based information to support sales, underwriting, risk management, computation of risk concentration, loss assessment, and customer service