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View article: Using variety testing data to select soybean varieties: Guidelines for practitioners
Using variety testing data to select soybean varieties: Guidelines for practitioners Open
Soybean [ Glycine max (L.) Merr.] variety selection is a crucial decision that impacts farm profitability. Effective variety selection requires performance evaluation across diverse environments to determine whether differences are due to …
View article: Cover Crop Biomass Predictions with Unmanned Aerial Vehicle Remote Sensing and TensorFlow Machine Learning
Cover Crop Biomass Predictions with Unmanned Aerial Vehicle Remote Sensing and TensorFlow Machine Learning Open
The continuous assessment of cover crop growth throughout the season is a crucial baseline observation for making informed crop management decisions and sustainable farming operation. Precision agriculture techniques involving applications…
View article: Characterizing Optimum N Rate in Waterlogged Maize (Zea mays L.) with Unmanned Aerial Vehicle (UAV) Remote Sensing
Characterizing Optimum N Rate in Waterlogged Maize (Zea mays L.) with Unmanned Aerial Vehicle (UAV) Remote Sensing Open
High soil moisture due to frequent excessive precipitation can lead to reductions in maize grain yields and increased nitrogen (N) loss. The traditional methods of computing N status in crops are destructive and time-consuming, especially …
View article: Identification of soybean planting gaps using machine learning
Identification of soybean planting gaps using machine learning Open
The identification of planting gaps is essential for optimizing crop management in precision agriculture. Traditional methods, such as manual scouting, are limited in scale and precision. This study evaluates the performance of three machi…
View article: Precise Positioning in Nitrogen Fertility Sensing in Maize (Zea mays L.)
Precise Positioning in Nitrogen Fertility Sensing in Maize (Zea mays L.) Open
This study documented the contribution of precise positioning involving a global navigation satellite system (GNSS) and a real-time kinematic (RTK) system in unmanned aerial vehicle (UAV) photogrammetry, particularly for establishing the c…
View article: Application of TensorFlow model for identification of herbaceous mimosa (Mimosa strigillosa) from digital images
Application of TensorFlow model for identification of herbaceous mimosa (Mimosa strigillosa) from digital images Open
This study explored the use of TensorFlow image recognition model to identify herbaceous mimosa (Mimosa strigillosa) from digital images. There is a demand for such technology toward digital mapping of the spatial distribution of these imp…
View article: MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer
MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer Open
Precise crop yield prediction provides valuable information for agricultural planning and decision-making processes. However, timely predicting crop yields remains challenging as crop growth is sensitive to growing season weather variation…
View article: Replication Data for: State of ex situ conservation of landrace groups of 25 major crops
Replication Data for: State of ex situ conservation of landrace groups of 25 major crops Open
Crop landraces have unique local agroecological and societal functions and offer important genetic resources for plant breeding. Recognition of the value of landrace diversity and concern about its erosion on farms have led to sustained ef…
View article: Novel Sources of Pre-Harvest Sprouting Resistance for Japonica Rice Improvement
Novel Sources of Pre-Harvest Sprouting Resistance for Japonica Rice Improvement Open
Pre-harvest sprouting (PHS), induced by unexpected weather events, such as typhoons, at the late seed maturity stage, is becoming a serious threat to rice production, especially in the state of California, USA, Japan, and the Republic of K…
View article: Trans-Disciplinary Responses to Climate Change: Lessons from Rice-Based Systems in Asia
Trans-Disciplinary Responses to Climate Change: Lessons from Rice-Based Systems in Asia Open
Climate change will continue to have a largely detrimental impact on the agricultural sector worldwide because of predicted rising temperatures, variable rainfall, and an increase in extreme weather events. Reduced crop yields will lead to…
View article: INTEGRATING TIME-SERIES SAR DATA AND ORYZA CROP GROWTH MODEL IN RICE AREA MAPPING AND YIELD ESTIMATION FOR CROP INSURANCES
INTEGRATING TIME-SERIES SAR DATA AND ORYZA CROP GROWTH MODEL IN RICE AREA MAPPING AND YIELD ESTIMATION FOR CROP INSURANCES Open
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. Pa…
View article: QUANTITATIVE ASSESSMENT OF RICE CROP DAMAGE POST TITLI CYCLONE IN SRIKAKULAM, ANDHRA PRADESH USING GEO-SPATIAL TECHNIQUES
QUANTITATIVE ASSESSMENT OF RICE CROP DAMAGE POST TITLI CYCLONE IN SRIKAKULAM, ANDHRA PRADESH USING GEO-SPATIAL TECHNIQUES Open
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 201…
View article: Spatial Rice Yield Estimation Based on MODIS and Sentinel-1 SAR Data and ORYZA Crop Growth Model
Spatial Rice Yield Estimation Based on MODIS and Sentinel-1 SAR Data and ORYZA Crop Growth Model Open
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 developin…
View article: Spatial Assessment of Heat Stress Impact on Rice Production in Two Districts of Andhra Pradesh, India
Spatial Assessment of Heat Stress Impact on Rice Production in Two Districts of Andhra Pradesh, India Open
Physiological studies have provided clear evidence of heat-induced spikelet sterility in rice, which can cause significant yield reductions. However, it is rather difficult to evaluate such yield losses in real world situations in farmers'…
View article: Synthetic Aperture Radar (SAR)-based paddy rice monitoring system: Development and application in key rice producing areas in Tropical Asia
Synthetic Aperture Radar (SAR)-based paddy rice monitoring system: Development and application in key rice producing areas in Tropical Asia Open
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 Apert…
View article: Gender differences in climate change perception and adaptation strategies: A case study on three provinces in Vietnam’s Mekong River Delta
Gender differences in climate change perception and adaptation strategies: A case study on three provinces in Vietnam’s Mekong River Delta Open
This brief summarizes the findings of a project output for the Policy Information and Response Platform on Climate Change and Rice in ASEAN and its Member Countries (PIRCCA), being implemented by the International Rice Research Institute (…