Precision Agriculture

Precision Agriculture promotes the most innovative results coming from the research in the field of precision agriculture. It provides an effective forum for disseminating original and fundamental research and experience in the rapidly advancing area of precision farming.

There are many topics in the field of precision agriculture; therefore, the topics that are addressed include, but are not limited to:

Natural Resources Variability: Soil and landscape variability, digital elevation models, soil mapping, geostatistics, geographic information systems, microclimate, weather forecasting, remote sensing, management units, scale, etc.

Managing Variability: Sampling techniques, site-specific nutrient and crop protection chemical recommendation, crop quality, tillage, seed density, seed variety, yield mapping, remote sensing, record keeping systems, data interpretation and use, crops (corn, wheat, sugar beets, potatoes, peanut, cotton, vegetables, etc.), management scale, etc.

Engineering Technology: Computers, positioning systems, DGPS, machinery, tillage, planting, nutrient and crop protection implements, manure, irrigation, fertigation, yield monitor and mapping, soil physical and chemical characteristic sensors, weed/pest mapping, etc.

Profitability: MEY, net returns, BMPs, optimum recommendations, crop quality, technology cost, sustainability, social impacts, marketing, cooperatives, farm scale, crop type, etc.

Environment: Nutrient, crop protection chemicals, sediments, leaching, runoff, practices, field, watershed, on/off farm, artificial drainage, ground water, surface water, etc.

Technology Transfer: Skill needs, education, training, outreach, methods, surveys, agri-business, producers, distance education, Internet, simulations models, decision support systems, expert systems, on-farm experimentation, partnerships, quality of rural life, etc.

精准农业促进了精准农业领域研究的最具创新性的成果。它为传播快速发展的精准农业领域的原创和基础研究和经验提供了一个有效的论坛。

精准农业领域有很多主题；因此，所讨论的主题包括但不限于：

自然资源变异性：土壤和景观变异性、数字高程模型、土壤测绘、地质统计学、地理信息系统、微气候、天气预报、遥感、管理单位、规模等。

管理变异性：采样技术、特定地点的营养和作物保护化学品推荐、作物质量、耕作、种子密度、种子品种、产量测绘、遥感、记录保存系统、数据解释和使用、作物（玉米、小麦、甜菜、土豆、花生、棉花、蔬菜等）、管理规模等。

工程技术：计算机、定位系统、DGPS、机械、耕作、种植、营养和作物保护工具、肥料、灌溉、灌溉施肥、产量监测和测绘、土壤物理和化学特性传感器、杂草/害虫测绘等。

盈利能力：MEY、净回报、BMP、最佳建议、作物质量、技术成本、可持续性、社会影响、市场营销、合作社、农场规模、作物类型等。

环境：营养物、作物保护化学品、沉积物、浸出、径流、实践、田地、流域、农场内/农场外、人工排水、地下水、地表水等。

技术转让：技能需求、教育、培训、推广、方法、调查、农业综合企业、生产者、远程教育、互联网、模拟模型、决策支持系统、专家系统、农场实验、合作伙伴关系、农村生活质量等。

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