USDA shares new geospatial tool to study crop rotation patterns

CropScape and Cropland Data Layer - Other CDL Citations

Kipka, Holm, et al. 2016. "Development of the Land-use and Agricultural Management Practice web-Service (LAMPS) for generating crop rotations in space and time.

Exploring Continuous Corn Cropping Patterns and Their ...

Crop rotation is to plant specific groups of crops over years on the same land [3], like corn-soybean rotation in the Midwest. Discovering these planting ...

An Assessment of Crop-Specific Land Cover Predictions Using High ...

In this paper, six neural network models are applied to crop rotation data between 2011 and 2021 from six agriculturally intensive counties, which reflect the ...

Publication - Chen Zhang

This paper introduces an efficient method to extract “trusted pixels” from the historical Cropland Data Layer (CDL) data using crop rotation patterns, which can ...

USDA Launches New Product to Show Crop Rotation Patterns

The U.S. Department of Agriculture (USDA) announced a new product, Crop Sequence Boundaries (CSB), according to a release. The tool was ...

USDA Introduces Geospatial Data Product to Show Crop Rotation ...

USDA Introduces Geospatial Data Product to Show Crop Rotation Patterns ... The USDA unveiled a geospatial product called Crop Sequence Boundaries ...

Identifying representative crop rotation patterns and grassland loss ...

We use the USDA Cropland Data Layer (CDL; Sahajpal et al., 2014) to quantify unique crop rotations for the US from 2012 to 2014 (Sahajpal et al.

Enhancing Agricultural Geospatial Data Dissemination and ...

A web-service tool to generate crop rotation management input files for ... His research interests include geospatial data sharing and interoperability,.

NIFA Update - August 2, 2023 - GovDelivery

USDA News. USDA graphic symbol. USDA Introduces Geospatial Data Product to Show Crop Rotation Patterns. USDA has unveiled a geospatial product called Crop ...

Identifying representative crop rotation patterns and grassland loss ...

We examined the tradeoff between number of representative crop rotations and accuracy by comparing estimated area against CDL and NASS crop area data. A ...

In-Season Major Crop-Type Identification for US Cropland ... - MDPI

Crop type information at the field level is vital for many types of research and applications. The United States Department of Agriculture (USDA) provides ...

Crop Improvement and Protection Research - Publication : USDA ARS

Geospatial analysis of California strawberry fields reveals regional differences in crop rotation patterns and the potential for lengthened ...

Not just crop or forest: an integrated land cover map for agricultural ...

The Cropland Data Layer (CDL) is a widely used layer of land cover produced by the United States Department of Agriculture, National ...

(PDF) Reallocating crop rotation patterns improves water quality and ...

Based on SWAT model results, an algorithm was developed to spatially reallocate crop rotations within existing agricultural land to reduce TN, TP, and sediment ...

Rotational complexity across US counties is currently insufficient to ...

Long-term experiments suggest that complex crop rotations can facilitate yield increases in major crops. Using a compiled county-annual panel ...

Identifying representative crop rotation patterns and grassland loss ...

Despite the availability of the Cropland Data Layer (CDL) which provides remotely sensed data on crop type in the US on an annual basis, crop rotation patterns ...

No-Till Farming: Benefits, Challenges, And Sustainable Effects

Crop Rotation · Weed and pest infestations. Rotation breaks weed and pest life cycles since different types of crops have different weed and pest ...

Innovations through crop switching happen on the diverse ... - PNAS

We characterized local crop-switching patterns across the United States using the US Department of Agriculture (USDA) Cropland Data Layer, an annual time series ...

Detecting and correcting logically inconsistent crop rotations and ...

Converting multi-year land-use data into crop rotation history is relatively simple in the absence of classification errors, but severely ...

Temporal integration of remote‐sensing land cover maps to identify ...

Crop rotations are key agronomic tools to enhance farm productivity, preserve soil, and ensure provision of ecosystem services.