This guide lists vegetable varieties that are available and are adapted to the mid-Atlantic region, gives an overview of cultural practices, and list chemicals recommended to manage pests, diseases and weeds in vegetable crops. New varieties of vegetables are constantly being developed throughout the world. While all efforts are made to have comprehensive lists, not all varieties that are adapted will be listed.

Drone based imagery shows the potential to highlight differences in crop status pertaining to nematode populations in soybean. In addition, integrating the imagery with machine learning models enables yield estimation much before harvest up to an accuracy of 87%. This provides growers with insights into crop health and yield conditions prompting for timely management decisions such as application of fertilizer or fungicides and irrigation. In addition, growers would also benefit from preharvest yield estimations for harvest, storage, and sales planning. This helps to realize optimal yield.

Disease is one of the biggest issues that producers face when growing pumpkins. The three biggest disease challenges for Virginia pumpkin growers are powdery mildew, downy mildew, and Phytophthora crown and fruit rot.

This is a guide for understanding the biology of plant nematodes, how they affect different crops, how to sample for them, how to interpret nematode sample results and management strategies.

Drone-based spectral imaging is a nondestructive approach for estimating corn grain yield efficiently prior to harvest. Such spatial estimations if done early in the season could help growers to identify lower performing areas of the field. This will guide them to adopt prompt, precise and cost-effective crop management operations (e.g., irrigation, fertilizer or fungicide applications) in the same season or before/during next cropping season. Pre-harvest yield estimates would help in better planning and allocation of harvest, storage, and sales resources for higher profitability and crop value. This article summarizes a recent exploration on drone-based multispectral imagery to estimate grain yield potential of corn.

These demonstration and research results are a collaborative effort of Virginia Cooperative Extension (VCE) Agents and Specialists, Virginia producers, and agribusiness. The purpose of this publication is to provide research-based information to aid in the decision-making process for soybean producers in Virginia. It provides an unbiased evaluation of varieties, management practices, and new technologies through on-farm replicated research using producer equipment and time. These experiments enable producers to make better management decisions based on research and provide greater opportunities to improve yields and profits, which improves quality of life for them and their families.