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The feasibility study of using machine vision technology to locate corn plants was conducted to determine its potential in the development of an intelligent detasseling machine. A corn plant feature, the main vein of leaf, was used and the method of feature detection was developed for corn plant identification. Experimental results showed that the leaf feature and the center of the plant can be detected and located using image processing techniques when an image is taken from above of a plant. This research showed that it is possible to identify and locate the corn plant using machine vision technology.

This paper describes sensors and systems developed, or under development, by researchers at Purdue University including: an automated soil nutrient mapping system; a real-time acoustic soil texture sensor; an improved, real-time soil organic matter (SOM) sensor; a real-time soil compaction sensor; and an animal manure application monitoring and control system. Issues to consider for sensor use and development, criteria for evaluating the potential for successful sensor implementation, and likely future sensors for site-specific crop management (SSCM) are also discussed.

Farmers are a small group, mostly college educated who run multi-million dollar yearly operations. Recent favorable economics has allowed this sector to look at new technology and determine the best way to invest in it. New considerations in the last few years have led to minimum/alternative tillage and planting, site specific farming decisions and small technology groups of farmers. The authors have put together their thoughts and wants which should be evaluated by future suppliers of technology and farm machinery.

Two stroke cycle chainsaw engines were tested comparing an ethanol/sunflower oil mixture to a conventional fuel mixture. Preliminary results indicated difficulty in starting below 50°F (10°C), high engine temperatures, gum deposits and possible lubrication breakdown; which indicate potential problems of using this fuel.

A procedure for simulating the dynamics of agricultural and forestry machines using mechanical system simulation software is presented. A soil/track interface model including rubber-track and steel-track was introduced as well as equations that can be used to model mechanical and hydraulic power trains commonly found in tracked vehicles. Two rubber-tracked vehicles (agricultural tractors) and two steel-tracked machines (forestry vehicles) were simulated to illustrate the technique, and some analysis results are presented. The examples given in this paper are based on the author’s research over the past several years.

A prototype in-field transport system for high-value crops was designed and built. This system carries a semi-trailer upon two rubber-tracked undercarriages. A mechanism was designed for timely assembly and disassembly of the system. A set of field experiments was conducted to compare the sinkage, motion resistance, and drawbar forces of the rubber-track versus the current pneumatic-tire system. Increased flotation was observed with the prototype system. The motion resistance of the track system was less than or greater than that of the pneumatic-tire system depending on the soil condition. The prototype met performance objectives during assembly, operation, and disassembly of the system.