IEEE

Remote Sensing Based Crop Type Classification Via Deep Transfer Learning

Abstract: Machine learning methods using aerial imagery (satellite and unmanned-aerial-vehicles-based imagery) have been extensively used for crop classification. Traditionally, per-pixel-based, ...
blog.lib.umn.edu

Crop and field planning tools for vegetable farmers

This page is intended to help vegetable growers with planning decisions, including how much of each crop to grow, how much seed to order, and when to plant each crop. The data in the tables below are ...
ag.purdue

2023 Purdue Crop Cost and Return Guide

The 2023 Purdue Crop Cost and Return Guide, which is available for free download from the Center for Commercial Agriculture website, gives estimated costs for planting, growing and harvesting a ...
GitHub

Python Crop Simulation Environment - PCSE

PCSE is a framework developed for implementing crop simulation models developed in Wageningen. Many of the Wageningen crop simulation models were originally developed in FORTRAN77 or using the FORTRAN ...
IEEE

Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data

Abstract: Deep learning (DL) is a powerful state-of-the-art technique for image processing including remote sensing (RS) images. This letter describes a multilevel DL architecture that targets land ...
Markets

Long-awaited specialty crop assistance finally here

Enrollment is now open for USDA’s Assistance for Specialty Crop Farmers Program. Eligible farmers can submit prefilled applications to receive their share of nearly $1.63 billion — an increase from ...