Precision irrigation and harvest management in orchards: an economic assessment

Precision management has become vital in agriculture with possibilities growing alongside developments in information and communication, robotics and sensor technologies. On the other side of expected benefits of precision management in terms of environmental friendliness, yield margin, input efficiency, etc., is the upfront expensiveness of such technologies. There is hence a need to quantitatively assess expected net benefits and provide useful information for farmers and stakeholders to enable informed choice on the potential adoption of precision technologies and management practices. This study presents economic assessment of precision irrigation and harvest management system with integrated use of sensor technologies and Farm Management Information System (FMIS) as compared to conventional practice applying partial budgeting as a tool. Relevant scenarios are defined based on data from an experimental apple orchard field situated in Prangins, Switzerland. The precision management system is found to be economically justifiable in situations of high demand for irrigation characterized by limited rainfall and considerable variabilities in weather conditions. Its economic feasibility is found to be sensitive to changes in fruit price and capital cost

Farm and operator characteristics affecting adoption of precision agriculture in Denmark and Germany

Precision Agriculture (PA) has been advocated as a promising technology and management philosophy that provides multidimensional benefits for producers and consumers while being environmentally friendly. In Europe, private stakeholders (farm advisors, farm equipment producers, decision support providers, farmers) and research institutions have been trying to develop, test and demonstrate adoption of precision agriculture solutions with governments financing big projects in these areas. Despite these efforts, adoption is still lagging behind expectations. Whether farmers adopt PA or not is likely to be influenced by several factors. This study intends to identify the main socio-economic determinants of adoption of precision agriculture in Denmark and Germany employing a binary logit model on a cross-section survey data. The results show that farm size, farmer age and demonstration and networking events like attending workshops and exhibitions significantly influence farmers’ adoption decision

Optimal use of agricultural robot in arable crop rotation: A case study from the Netherlands

Acute shortages and rising costs of labour in the food and farming sector across Europe exhibit the fragility of agrifood systems. Agricultural robots present an opportunity to strengthen agrifood systems by addressing labour shortages and reduce CO2 emissions. This study proposes a method to investigate the potential use of an autonomous robotic system based on a case study on a typical high-tech Dutch farm that implements both an agricultural robot (AGR) and a conventional tractor (TRC) on a farm of 200 hectares in the region of Oldambt. To demonstrate the optimal use of an AGR, five farming operations (seeding, catch crop seeding, tine weeding, harrowing, inter-row hoeing, and spot spraying) in a crop rotation system of five crops (sugar beets, pumpkins, onions, spring barley and winter wheat) was chosen. The agricultural robot is here considered as a supplement (not substitute) to the farms overall cropping capability. It is found that price of fuel and labour are critical factors where higher fuel and labour price increases the benefit and use of the robot. Besides, time needed for remote supervision of the robot plays an important role

Controlled traffic farming and field traffic management: Perceptions of farmers groups from Northern and Western European countries

As farming machinery size and weight increases, soil compaction continues to threaten mechanized agriculture. Controlled Traffic Farming (CTF) minimizes soil compaction in the crop zone by restricting traffic to permanent tracks. The adoption of CTF in Europe is low. This study enhances the understanding of farmers' needs and perceptions concerning the application of CTF by analyzing survey data from 103 farmers sampled from 8 European countries. The study adopted a descriptive approach to data analysis. Awareness about traffic-induced soil compaction is high among surveyed farmers and there are positive perceptions about the potential of CTF. The major factors limiting adoption of CTF appear to be: lack of compatibility in machinery and Global Navigation Satellite Systems (GNSS) by different manufacturers; expense (equipment purchase, Real-time Kinematic (RTK) signal, machinery modification); lack of demonstrated benefits under local conditions; incomplete knowledge of research findings and decision support tools; and a perception that CTF is not for small farms. The following interventions are suggested for future development and use of CTF: a shift towards lighter, simpler, adaptable, and energy effective machinery; adapted market models for cost-effective provision of basic services; demonstration of costs and benefits under local conditions in tandem with demand-driven decision support tools as well as standardization of equipment and positioning systems